AlgoSeek Schema — Test + Template

0. RANK MATH INTEGRATION — read before implementing

The new site already outputs part of the graph on its own. Rank Math generates Organization, WebSite, WebPage and BreadcrumbList on every page. The examples below include these nodes to show the complete graph — do not copy them to WP, that would create duplicate entities.

Insert only the section's main entity (Dataset, FAQPage, HowTo, Service…), linking it to the already existing nodes via @id: {"@id": "https://algoseek.com/#organization"}.
Implementation method — the rank_math/json_ld filter in the theme/plugin (example below), or Rank Math Pro → Schema Templates. Do not hardcode <script> tags in templates next to Rank Math's output.
At the same time, fix the global Rank Math settings: Schema type for pages = WebPage (currently everything is marked up as Article), replace the Person author "Administrator" with the organization, and set Organization.name = "Algoseek" (currently it's the tagline).
After implementation, run every section through the Rich Results Test and validator.schema.org.

add_filter( 'rank_math/json_ld', function( $data, $jsonld ) {
    if ( is_singular( 'dataset' ) ) {
        // 1. remove the default Article that Rank Math attaches to everything
        unset( $data['richSnippet'], $data['Article'] );

        // 2. add the main entity from the section 7 template (PRODUCT)
        $data['dataset'] = [
            '@type'       => 'Dataset',
            '@id'         => untrailingslashit( get_permalink() ) . '/#dataset',
            'name'        => get_the_title(),
            'description' => get_the_excerpt(),
            'url'         => get_permalink(),
            // do NOT redeclare publisher/isPartOf — reference the @id nodes
            // that Rank Math already outputs on every page:
            'publisher'   => [ '@id' => home_url( '/#organization' ) ],
            'isPartOf'    => [ '@id' => home_url( '/dataset/#catalog' ) ],
            // ... remaining fields as per the section 7 template
        ];
    }
    return $data;
}, 20, 2 );

Updated 2026-07-12: URL examples aligned with the actual structure of the new WP site (dev: algoalpha.net). Sections with a ⚠️ banner have no counterpart on the new site.

1. HOMEPAGE — `/`

TEST (real data)

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "Organization",
      "@id": "https://algoseek.com/#organization",
      "name": "Algoseek",
      "legalName": "Algoseek LLC",
      "url": "https://algoseek.com",
      "logo": {
        "@type": "ImageObject",
        "url": "https://algoseek.com/assets/design-system/logo.png",
        "width": 250,
        "height": 60
      },
      "image": "https://algoseek.com/assets/design-system/logo.png",
      "description": "Institutional-grade historical and real-time market data provider for US Equities, Options, Futures, Forex, and Cryptocurrencies.",
      "slogan": "Institutional-grade market data for quants",
      "foundingDate": "2010",
      "industry": "Financial Data Services",
      "naics": "523120",
      "knowsAbout": [
        "TAQ data", "Tick data", "NBBO", "OPRA", "SIP feeds",
        "Market microstructure", "Quantitative finance", "Backtesting",
        "Order book data", "Options Greeks", "Corporate actions"
      ],
      "sameAs": [
        "https://twitter.com/Algoseek",
        "https://www.linkedin.com/company/algoseek",
        "https://github.com/algoseekgit"
      ],
      "contactPoint": [
        {
          "@type": "ContactPoint",
          "contactType": "sales",
          "email": "sales@algoseek.com",
          "availableLanguage": ["en"],
          "areaServed": "Worldwide"
        },
        {
          "@type": "ContactPoint",
          "contactType": "technical support",
          "email": "support@algoseek.com",
          "availableLanguage": ["en"]
        }
      ],
      "aggregateRating": {
        "@type": "AggregateRating",
        "ratingValue": "4.7",
        "reviewCount": 42,
        "bestRating": "5",
        "worstRating": "1",
        "url": "https://www.g2.com/products/algoseek/reviews"
      }
    },
    {
      "@type": "WebSite",
      "@id": "https://algoseek.com/#website",
      "url": "https://algoseek.com",
      "name": "Algoseek",
      "publisher": { "@id": "https://algoseek.com/#organization" },
      "inLanguage": "en-US"
    },
    {
      "@type": "WebPage",
      "@id": "https://algoseek.com/#webpage",
      "url": "https://algoseek.com/",
      "name": "AlgoSeek — Institutional-Grade Market Data",
      "description": "Historical and real-time tick data for US Equities, Options, Futures, Forex, and Crypto. Trusted by hedge funds, banks, and academic institutions worldwide.",
      "isPartOf": { "@id": "https://algoseek.com/#website" },
      "inLanguage": "en-US",
      "primaryImageOfPage": {
        "@type": "ImageObject",
        "url": "https://algoseek.com/og-default.jpg",
        "width": 1200,
        "height": 630
      },
      "mainEntity": { "@id": "https://algoseek.com/#featured" }
    },
    {
      "@type": "BreadcrumbList",
      "itemListElement": [
        { "@type": "ListItem", "position": 1, "name": "Home", "item": "https://algoseek.com" }
      ]
    },
    {
      "@type": "ItemList",
      "@id": "https://algoseek.com/#featured",
      "name": "Featured Datasets",
      "itemListElement": [
        { "@type": "ListItem", "position": 1, "url": "https://algoseek.com/datasets/equity/taq", "name": "US Equities TAQ" },
        { "@type": "ListItem", "position": 2, "url": "https://algoseek.com/datasets/options/greeks", "name": "Options Greeks" },
        { "@type": "ListItem", "position": 3, "url": "https://algoseek.com/datasets/equity/full-depth", "name": "Equity Full Depth" }
      ]
    },
    {
      "@type": "FAQPage",
      "mainEntity": [
        {
          "@type": "Question",
          "name": "What kind of market data does AlgoSeek provide?",
          "acceptedAnswer": {
            "@type": "Answer",
            "text": "AlgoSeek provides institutional-grade historical and real-time market data across US Equities, Options, Futures, Forex, and Cryptocurrencies — including TAQ tick data, depth-of-book, corporate actions, and reference data with nanosecond precision."
          }
        },
        {
          "@type": "Question",
          "name": "How does AlgoSeek differ from Bloomberg or Refinitiv?",
          "acceptedAnswer": {
            "@type": "Answer",
            "text": "AlgoSeek delivers institutional-depth market data with transparent licensing and faster delivery — at a fraction of legacy enterprise vendor cost. Historical depth back to 2010, nanosecond timestamps, and direct exchange feed coverage."
          }
        }
      ]
    }
  ]
}
</script>

TEMPLATE (variables)

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "Organization",
      "@id": "{{BASE_URL}}/#organization",
      "name": "{{ORG_NAME}}",
      "legalName": "{{ORG_LEGAL_NAME}}",
      "url": "{{BASE_URL}}",
      "logo": {
        "@type": "ImageObject",
        "url": "{{ORG_LOGO_URL}}",
        "width": {{ORG_LOGO_WIDTH}},
        "height": {{ORG_LOGO_HEIGHT}}
      },
      "description": "{{ORG_DESCRIPTION}}",
      "slogan": "{{ORG_SLOGAN}}",
      "foundingDate": "{{ORG_FOUNDING_DATE}}",
      "industry": "{{ORG_INDUSTRY}}",
      "naics": "{{ORG_NAICS}}",
      "knowsAbout": {{ORG_KNOWS_ABOUT}},
      "sameAs": {{ORG_SOCIAL_URLS}},
      "contactPoint": {{ORG_CONTACT_POINTS}}
    },
    {
      "@type": "WebSite",
      "@id": "{{BASE_URL}}/#website",
      "url": "{{BASE_URL}}",
      "name": "{{ORG_NAME}}",
      "publisher": { "@id": "{{BASE_URL}}/#organization" },
      "inLanguage": "{{LANG}}"
    },
    {
      "@type": "WebPage",
      "@id": "{{BASE_URL}}/#webpage",
      "url": "{{BASE_URL}}/",
      "name": "{{PAGE_TITLE}}",
      "description": "{{PAGE_DESCRIPTION}}",
      "isPartOf": { "@id": "{{BASE_URL}}/#website" },
      "inLanguage": "{{LANG}}",
      "primaryImageOfPage": {
        "@type": "ImageObject",
        "url": "{{PAGE_OG_IMAGE_URL}}",
        "width": 1200,
        "height": 630
      }
    },
    {
      "@type": "BreadcrumbList",
      "itemListElement": [
        { "@type": "ListItem", "position": 1, "name": "Home", "item": "{{BASE_URL}}" }
      ]
    },
    {
      "@type": "ItemList",
      "@id": "{{BASE_URL}}/#featured",
      "name": "Featured Datasets",
      "itemListElement": [
        {{#each FEATURED_DATASETS as ds, index}}
        { "@type": "ListItem", "position": {{index+1}}, "url": "{{ds.url}}", "name": "{{ds.name}}" }{{#unless @last}},{{/unless}}
        {{/each}}
      ]
    },
    {{#if PAGE_FAQS}}
    {
      "@type": "FAQPage",
      "mainEntity": [
        {{#each PAGE_FAQS as faq}}
        {
          "@type": "Question",
          "name": "{{faq.question}}",
          "acceptedAnswer": { "@type": "Answer", "text": "{{faq.answer}}" }
        }{{#unless @last}},{{/unless}}
        {{/each}}
      ]
    }
    {{/if}}
  ]
}
</script>

Variables

Variable	Source	Type	Required	Example
`{{BASE_URL}}`	environment.ts	string	yes	`"https://algoseek.com"`
`{{ORG_NAME}}`	company_data.company_name	string	yes	`"Algoseek"`
`{{ORG_LEGAL_NAME}}`	company_data.legal_name	string	optional	`"Algoseek LLC"`
`{{ORG_LOGO_URL}}`	company_data.primary_logo (Directus asset URL)	string	yes	`"https://algoseek.com/assets/design-system/logo.png"`
`{{ORG_LOGO_WIDTH/HEIGHT}}`	computed from logo asset metadata	number	yes	`250` / `60`
`{{ORG_DESCRIPTION}}`	company_data.seo_description	string	yes	`"Institutional-grade ..."`
`{{ORG_SLOGAN}}`	company_data.slogan	string	optional	`"Institutional-grade market data"`
`{{ORG_FOUNDING_DATE}}`	company_data.founding_date	string (YYYY)	optional	`"2010"`
`{{ORG_INDUSTRY}}`	hardcoded	string	yes	`"Financial Data Services"`
`{{ORG_NAICS}}`	hardcoded	string	yes	`"523120"`
`{{ORG_KNOWS_ABOUT}}`	company_data.knows_about (array)	string[]	yes	`["TAQ data", "Tick data", "NBBO", ...]`
`{{ORG_SOCIAL_URLS}}`	company_data.social_urls (array)	string[]	yes	`["https://twitter.com/Algoseek", ...]`
`{{ORG_CONTACT_POINTS}}`	company_data.contact_points (array of ContactPoint)	object[]	yes	see below
`{{LANG}}`	environment.ts (default) or per-page	string	yes	`"en-US"`
`{{PAGE_TITLE}}`	pages.seo_title	string	yes	`"AlgoSeek — Institutional Market Data"`
`{{PAGE_DESCRIPTION}}`	pages.seo_description	string	yes	`"Historical and real-time tick data..."`
`{{PAGE_OG_IMAGE_URL}}`	pages.og_image (Directus asset)	string	yes	`"https://algoseek.com/og-default.jpg"`
`{{FEATURED_DATASETS}}`	Datasets API filter `is_featured=true`	array of {url, name}	yes	iterates 3-5 items
`{{PAGE_FAQS}}`	Directus `pages.faqs` (parler relation)	array of {question, answer}	optional	iterates if exists

2. COMPANY — `/team/`

TEST (real data)

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "Organization",
      "@id": "https://algoseek.com/#organization",
      "name": "Algoseek",
      "url": "https://algoseek.com",
      "logo": "https://algoseek.com/assets/design-system/logo.png"
    },
    {
      "@type": "WebSite",
      "@id": "https://algoseek.com/#website",
      "url": "https://algoseek.com",
      "name": "Algoseek"
    },
    {
      "@type": "AboutPage",
      "@id": "https://algoseek.com/team/#page",
      "url": "https://algoseek.com/company/meet-the-team",
      "name": "Meet the AlgoSeek Team",
      "isPartOf": { "@id": "https://algoseek.com/#website" },
      "inLanguage": "en-US",
      "about": { "@id": "https://algoseek.com/#organization" }
    },
    {
      "@type": "BreadcrumbList",
      "itemListElement": [
        { "@type": "ListItem", "position": 1, "name": "Home", "item": "https://algoseek.com" },
        { "@type": "ListItem", "position": 2, "name": "Meet the Team", "item": "https://algoseek.com/company/meet-the-team" }
      ]
    },
    {
      "@type": "Person",
      "@id": "https://algoseek.com/team/john-doe#person",
      "name": "John Doe",
      "jobTitle": "Founder & CEO",
      "image": "https://algoseek.com/team/john-doe.jpg",
      "sameAs": ["https://www.linkedin.com/in/johndoe"],
      "knowsAbout": ["Market microstructure", "Quantitative finance", "TAQ data"],
      "worksFor": { "@id": "https://algoseek.com/#organization" }
    },
    {
      "@type": "Person",
      "@id": "https://algoseek.com/team/jane-smith#person",
      "name": "Jane Smith",
      "jobTitle": "Chief Technology Officer",
      "image": "https://algoseek.com/team/jane-smith.jpg",
      "sameAs": ["https://www.linkedin.com/in/janesmith"],
      "knowsAbout": ["Distributed systems", "Low-latency data delivery", "Cloud architecture"],
      "worksFor": { "@id": "https://algoseek.com/#organization" }
    }
  ]
}
</script>

TEMPLATE (variables)

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@graph": [
    { "@type": "Organization", "@id": "{{BASE_URL}}/#organization", "name": "{{ORG_NAME}}", "url": "{{BASE_URL}}", "logo": "{{ORG_LOGO_URL}}" },
    { "@type": "WebSite", "@id": "{{BASE_URL}}/#website", "url": "{{BASE_URL}}", "name": "{{ORG_NAME}}" },
    {
      "@type": "AboutPage",
      "@id": "{{PAGE_URL}}#page",
      "url": "{{PAGE_URL}}",
      "name": "{{PAGE_TITLE}}",
      "isPartOf": { "@id": "{{BASE_URL}}/#website" },
      "inLanguage": "{{LANG}}",
      "about": { "@id": "{{BASE_URL}}/#organization" }
    },
    {
      "@type": "BreadcrumbList",
      "itemListElement": [
        { "@type": "ListItem", "position": 1, "name": "Home", "item": "{{BASE_URL}}" },
        { "@type": "ListItem", "position": 2, "name": "{{PAGE_TITLE}}", "item": "{{PAGE_URL}}" }
      ]
    }
    {{#if IS_TEAM_PAGE}}
    ,
    {{#each TEAM_MEMBERS as person}}
    {
      "@type": "Person",
      "@id": "{{BASE_URL}}/team/{{person.slug}}#person",
      "name": "{{person.name}}",
      "jobTitle": "{{person.job_title}}",
      "image": "{{person.photo_url}}",
      "sameAs": {{person.social_urls}},
      "knowsAbout": {{person.knows_about}},
      "worksFor": { "@id": "{{BASE_URL}}/#organization" }
    }{{#unless @last}},{{/unless}}
    {{/each}}
    {{/if}}
  ]
}
</script>

Variables

Variable	Source	Type	Required	Example
`{{PAGE_URL}}`	route current path	string	yes	`"https://algoseek.com/company/meet-the-team"`
`{{PAGE_TITLE}}`	pages.seo_title	string	yes	`"Meet the AlgoSeek Team"`
`{{IS_TEAM_PAGE}}`	computed from route slug == 'meet-the-team'	bool	yes	`true`
`{{TEAM_MEMBERS}}`	Directus `team_members` collection	array of Person	conditional	only on /meet-the-team
`{{person.slug}}`	team_members.slug	string	yes	`"john-doe"`
`{{person.name}}`	team_members.name	string	yes	`"John Doe"`
`{{person.job_title}}`	team_members.job_title	string	yes	`"Founder & CEO"`
`{{person.photo_url}}`	team_members.photo (Directus asset)	string	yes	`"https://algoseek.com/team/john-doe.jpg"`
`{{person.social_urls}}`	team_members.social_urls	string[]	yes	`["https://www.linkedin.com/in/johndoe"]`
`{{person.knows_about}}`	team_members.knows_about	string[]	optional	`["Market microstructure", ...]`

3. LEGAL — `/privacy/`

TEST (real data)

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "Organization",
      "@id": "https://algoseek.com/#organization",
      "name": "Algoseek",
      "url": "https://algoseek.com",
      "logo": "https://algoseek.com/assets/design-system/logo.png"
    },
    {
      "@type": "WebPage",
      "@id": "https://algoseek.com/privacy/#page",
      "url": "https://algoseek.com/legal/privacy-policy",
      "name": "Privacy Policy",
      "datePublished": "2024-01-15",
      "dateModified": "2026-04-01",
      "inLanguage": "en-US",
      "publisher": { "@id": "https://algoseek.com/#organization" }
    },
    {
      "@type": "BreadcrumbList",
      "itemListElement": [
        { "@type": "ListItem", "position": 1, "name": "Home", "item": "https://algoseek.com" },
        { "@type": "ListItem", "position": 2, "name": "Privacy Policy", "item": "https://algoseek.com/legal/privacy-policy" }
      ]
    },
    {
      "@type": "DigitalDocument",
      "name": "AlgoSeek Privacy Policy",
      "url": "https://algoseek.com/legal/privacy-policy",
      "datePublished": "2024-01-15",
      "dateModified": "2026-04-01",
      "publisher": { "@id": "https://algoseek.com/#organization" }
    }
  ]
}
</script>

TEMPLATE (variables)

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@graph": [
    { "@type": "Organization", "@id": "{{BASE_URL}}/#organization", "name": "{{ORG_NAME}}", "url": "{{BASE_URL}}", "logo": "{{ORG_LOGO_URL}}" },
    {
      "@type": "WebPage",
      "@id": "{{PAGE_URL}}#page",
      "url": "{{PAGE_URL}}",
      "name": "{{PAGE_TITLE}}",
      "datePublished": "{{PAGE_PUBLISHED}}",
      "dateModified": "{{PAGE_MODIFIED}}",
      "inLanguage": "{{LANG}}",
      "publisher": { "@id": "{{BASE_URL}}/#organization" }
    },
    {
      "@type": "BreadcrumbList",
      "itemListElement": [
        { "@type": "ListItem", "position": 1, "name": "Home", "item": "{{BASE_URL}}" },
        { "@type": "ListItem", "position": 2, "name": "{{PAGE_TITLE}}", "item": "{{PAGE_URL}}" }
      ]
    },
    {
      "@type": "DigitalDocument",
      "name": "{{ORG_NAME}} {{PAGE_TITLE}}",
      "url": "{{PAGE_URL}}",
      "datePublished": "{{PAGE_PUBLISHED}}",
      "dateModified": "{{PAGE_MODIFIED}}",
      "publisher": { "@id": "{{BASE_URL}}/#organization" }
    }
  ]
}
</script>

Variables

Variable	Source	Type	Required	Example
`{{PAGE_PUBLISHED}}`	pages.date_published	ISO date	yes	`"2024-01-15"`
`{{PAGE_MODIFIED}}`	pages.date_updated	ISO date	yes	`"2026-04-01"`

4. LANDING (asset class) — `/equity/`

TEST (real data)

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "Organization",
      "@id": "https://algoseek.com/#organization",
      "name": "Algoseek",
      "url": "https://algoseek.com",
      "logo": "https://algoseek.com/assets/design-system/logo.png"
    },
    {
      "@type": "WebPage",
      "@id": "https://algoseek.com/equity/#page",
      "url": "https://algoseek.com/equity",
      "name": "US Equity Market Data",
      "description": "Institutional US equity market data — TAQ, full depth order book, security master, corporate actions. Nanosecond timestamps, full SIP coverage.",
      "isPartOf": { "@type": "WebSite", "url": "https://algoseek.com" },
      "inLanguage": "en-US"
    },
    {
      "@type": "BreadcrumbList",
      "itemListElement": [
        { "@type": "ListItem", "position": 1, "name": "Home", "item": "https://algoseek.com" },
        { "@type": "ListItem", "position": 2, "name": "Equity Market Data", "item": "https://algoseek.com/equity" }
      ]
    },
    {
      "@type": "Service",
      "@id": "https://algoseek.com/equity/#service",
      "name": "US Equity Market Data Service",
      "description": "Comprehensive US equity historical and real-time market data — tick-level TAQ, minute bars, full depth order book, security master, and corporate actions.",
      "serviceType": "Financial Market Data Service",
      "provider": { "@id": "https://algoseek.com/#organization" },
      "areaServed": { "@type": "Place", "name": "Worldwide" },
      "audience": [
        { "@type": "Audience", "audienceType": "Quantitative Researchers" },
        { "@type": "Audience", "audienceType": "Hedge Funds" },
        { "@type": "Audience", "audienceType": "Investment Banks" },
        { "@type": "Audience", "audienceType": "Academic Institutions" },
        { "@type": "Audience", "audienceType": "Market Makers" }
      ],
      "serviceOutput": {
        "@type": "Dataset",
        "name": "US Equity Market Data Files",
        "encodingFormat": ["text/csv", "application/parquet"]
      },
      "termsOfService": "https://algoseek.com/legal/terms-of-use",
      "availableChannel": {
        "@type": "ServiceChannel",
        "serviceUrl": "https://algoseek.com/contact-us",
        "serviceLocation": { "@type": "Place", "name": "Online" }
      },
      "hasOfferCatalog": {
        "@type": "OfferCatalog",
        "name": "US Equity Datasets",
        "itemListElement": [
          {
            "@type": "Offer",
            "itemOffered": { "@type": "Dataset", "name": "Equity TAQ", "url": "https://algoseek.com/datasets/equity/taq" }
          },
          {
            "@type": "Offer",
            "itemOffered": { "@type": "Dataset", "name": "Equity Full Depth", "url": "https://algoseek.com/datasets/equity/full-depth" }
          },
          {
            "@type": "Offer",
            "itemOffered": { "@type": "Dataset", "name": "Equity Security Master", "url": "https://algoseek.com/datasets/equity/security-master" }
          }
        ]
      },
      "aggregateRating": {
        "@type": "AggregateRating",
        "ratingValue": "4.8",
        "reviewCount": 18,
        "bestRating": "5",
        "worstRating": "1",
        "url": "https://www.g2.com/products/algoseek/reviews?segment=equity"
      }
    },
    {
      "@type": "Review",
      "@id": "https://algoseek.com/equity/#review-mit-2026",
      "itemReviewed": { "@id": "https://algoseek.com/equity/#service" },
      "reviewBody": "AlgoSeek's nanosecond US equity TAQ data was essential for our microstructure paper. Coverage and quality match the top institutional vendors at a fraction of the cost.",
      "author": {
        "@type": "Person",
        "name": "Dr. John Doe",
        "jobTitle": "Quantitative Finance Researcher",
        "worksFor": { "@type": "EducationalOrganization", "name": "MIT Sloan" }
      },
      "datePublished": "2026-03-15",
      "reviewRating": {
        "@type": "Rating",
        "ratingValue": "5",
        "bestRating": "5",
        "worstRating": "1"
      }
    },
    {
      "@type": "Review",
      "@id": "https://algoseek.com/equity/#review-hf-2026",
      "itemReviewed": { "@id": "https://algoseek.com/equity/#service" },
      "reviewBody": "Switched from Refinitiv Tick History to AlgoSeek for our equity backtests — same depth, faster delivery, transparent pricing. Saved ~60% on annual data cost.",
      "author": {
        "@type": "Person",
        "name": "Sarah Lee",
        "jobTitle": "Head of Systematic Trading",
        "worksFor": { "@type": "Organization", "name": "Vector Capital Partners" }
      },
      "datePublished": "2026-02-20",
      "reviewRating": {
        "@type": "Rating",
        "ratingValue": "5",
        "bestRating": "5",
        "worstRating": "1"
      }
    },
    {
      "@type": "FAQPage",
      "mainEntity": [
        {
          "@type": "Question",
          "name": "What US equity exchanges does AlgoSeek cover?",
          "acceptedAnswer": {
            "@type": "Answer",
            "text": "AlgoSeek covers all US equity exchanges via the consolidated SIP feed (Tape A — NYSE, Tape B — NYSE Arca/American/regional, Tape C — NASDAQ), plus FINRA TRF and direct exchange feeds where available."
          }
        }
      ]
    }
  ]
}
</script>

TEMPLATE (variables)

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@graph": [
    { "@type": "Organization", "@id": "{{BASE_URL}}/#organization", "name": "{{ORG_NAME}}", "url": "{{BASE_URL}}", "logo": "{{ORG_LOGO_URL}}" },
    {
      "@type": "WebPage",
      "@id": "{{PAGE_URL}}#page",
      "url": "{{PAGE_URL}}",
      "name": "{{PAGE_TITLE}}",
      "description": "{{PAGE_DESCRIPTION}}",
      "isPartOf": { "@type": "WebSite", "url": "{{BASE_URL}}" },
      "inLanguage": "{{LANG}}"
    },
    {
      "@type": "BreadcrumbList",
      "itemListElement": [
        { "@type": "ListItem", "position": 1, "name": "Home", "item": "{{BASE_URL}}" },
        { "@type": "ListItem", "position": 2, "name": "{{ASSET_DISPLAY_NAME}}", "item": "{{PAGE_URL}}" }
      ]
    },
    {
      "@type": "Service",
      "@id": "{{PAGE_URL}}#service",
      "name": "{{SERVICE_NAME}}",
      "description": "{{SERVICE_DESCRIPTION}}",
      "serviceType": "Financial Market Data Service",
      "provider": { "@id": "{{BASE_URL}}/#organization" },
      "areaServed": { "@type": "Place", "name": "Worldwide" },
      "audience": [
        {{#each TARGET_AUDIENCES as a}}
        { "@type": "Audience", "audienceType": "{{a}}" }{{#unless @last}},{{/unless}}
        {{/each}}
      ],
      "serviceOutput": {
        "@type": "Dataset",
        "name": "{{ASSET_DISPLAY_NAME}} Market Data Files",
        "encodingFormat": ["text/csv", "application/parquet"]
      },
      "termsOfService": "{{BASE_URL}}/legal/terms-of-use",
      "availableChannel": {
        "@type": "ServiceChannel",
        "serviceUrl": "{{BASE_URL}}/contact-us"
      },
      "hasOfferCatalog": {
        "@type": "OfferCatalog",
        "name": "{{ASSET_DISPLAY_NAME}} Datasets",
        "itemListElement": [
          {{#each ASSET_DATASETS as ds}}
          {
            "@type": "Offer",
            "itemOffered": { "@type": "Dataset", "name": "{{ds.name}}", "url": "{{ds.url}}" }
          }{{#unless @last}},{{/unless}}
          {{/each}}
        ]
      }
    },
    {{#if PAGE_FAQS}}
    {
      "@type": "FAQPage",
      "mainEntity": [
        {{#each PAGE_FAQS as faq}}
        { "@type": "Question", "name": "{{faq.question}}", "acceptedAnswer": { "@type": "Answer", "text": "{{faq.answer}}" } }{{#unless @last}},{{/unless}}
        {{/each}}
      ]
    }
    {{/if}}
  ]
}
</script>

Variables

Variable	Source	Type	Required	Example
`{{ASSET_DISPLAY_NAME}}`	hardcoded mapping (asset → display name)	string	yes	`"Equity"`, `"Futures"`, `"Forex"`
`{{SERVICE_NAME}}`	computed: `"US ${asset} Market Data Service"`	string	yes	`"US Equity Market Data Service"`
`{{SERVICE_DESCRIPTION}}`	pages.seo_description (asset landing)	string	yes	from Directus
`{{TARGET_AUDIENCES}}`	hardcoded list per asset	string[]	yes	`["Quantitative Researchers", "Hedge Funds", ...]`
`{{ASSET_DATASETS}}`	Datasets API filtered by `asset_class={asset}`	array of {name, url}	yes	iterates ~10-15 items
`{{PAGE_FAQS}}`	Directus pages.faqs	array	optional

Data flow

**Data flow for `{{ASSET_DATASETS}}`:**
```
Angular → SSR fetch → GET /datasets/api/v2/extras/platform/datasets?asset_class={asset}
       → map response: ds → { name: ds.display_name, url: `${BASE_URL}/datasets/${asset}/${ds.slug}` }
       → use in Service.hasOfferCatalog.itemListElement
```

5. LANDING (audience) — `/hedge-funds`

⚠️ This page does not exist on the new WP site (verified against algoalpha.net on 2026-07-12). Keep this template as a reserve: if the page appears, take the slug from the actual structure and update url/@id/breadcrumb.

TEST (real data)

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "Organization",
      "@id": "https://algoseek.com/#organization",
      "name": "Algoseek",
      "url": "https://algoseek.com",
      "logo": "https://algoseek.com/assets/design-system/logo.png"
    },
    {
      "@type": "WebPage",
      "@id": "https://algoseek.com/hedge-funds#page",
      "url": "https://algoseek.com/hedge-funds",
      "name": "Market Data for Hedge Funds",
      "description": "Institutional-grade historical and real-time market data tailored for hedge fund quant research, alpha generation, and execution analytics.",
      "inLanguage": "en-US"
    },
    {
      "@type": "BreadcrumbList",
      "itemListElement": [
        { "@type": "ListItem", "position": 1, "name": "Home", "item": "https://algoseek.com" },
        { "@type": "ListItem", "position": 2, "name": "Hedge Funds", "item": "https://algoseek.com/hedge-funds" }
      ]
    },
    {
      "@type": "Service",
      "@id": "https://algoseek.com/hedge-funds#service",
      "name": "Market Data for Hedge Funds",
      "description": "Tick-level historical and real-time market data engineered for hedge fund quantitative research, alpha generation, and transaction cost analysis.",
      "provider": { "@id": "https://algoseek.com/#organization" },
      "serviceType": "Institutional Market Data Service",
      "audience": {
        "@type": "Audience",
        "audienceType": "Hedge Funds",
        "geographicArea": { "@type": "AdministrativeArea", "name": "Global" }
      },
      "termsOfService": "https://algoseek.com/legal/terms-of-use",
      "availableChannel": {
        "@type": "ServiceChannel",
        "serviceUrl": "https://algoseek.com/contact-us"
      }
    }
  ]
}
</script>

TEMPLATE (variables)

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@graph": [
    { "@type": "Organization", "@id": "{{BASE_URL}}/#organization", "name": "{{ORG_NAME}}", "url": "{{BASE_URL}}", "logo": "{{ORG_LOGO_URL}}" },
    {
      "@type": "WebPage",
      "@id": "{{PAGE_URL}}#page",
      "url": "{{PAGE_URL}}",
      "name": "{{PAGE_TITLE}}",
      "description": "{{PAGE_DESCRIPTION}}",
      "inLanguage": "{{LANG}}"
    },
    {
      "@type": "BreadcrumbList",
      "itemListElement": [
        { "@type": "ListItem", "position": 1, "name": "Home", "item": "{{BASE_URL}}" },
        { "@type": "ListItem", "position": 2, "name": "{{AUDIENCE_DISPLAY_NAME}}", "item": "{{PAGE_URL}}" }
      ]
    },
    {
      "@type": "Service",
      "@id": "{{PAGE_URL}}#service",
      "name": "Market Data for {{AUDIENCE_DISPLAY_NAME}}",
      "description": "{{SERVICE_DESCRIPTION}}",
      "provider": { "@id": "{{BASE_URL}}/#organization" },
      "serviceType": "Institutional Market Data Service",
      "audience": {
        "@type": "Audience",
        "audienceType": "{{AUDIENCE_TYPE}}",
        "geographicArea": { "@type": "AdministrativeArea", "name": "Global" }
      },
      "termsOfService": "{{BASE_URL}}/legal/terms-of-use",
      "availableChannel": {
        "@type": "ServiceChannel",
        "serviceUrl": "{{BASE_URL}}/contact-us"
      }
    }
  ]
}
</script>

Variables

Variable	Source	Type	Example
`{{AUDIENCE_DISPLAY_NAME}}`	hardcoded mapping	string	`"Hedge Funds"` / `"Academic Research"` / `"Banks"`
`{{AUDIENCE_TYPE}}`	hardcoded mapping	string	`"Hedge Funds"` / `"EducationalOrganization"` / `"FinancialService"`

6. PILLAR — `/dataset/`

TEST (real data)

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "Organization",
      "@id": "https://algoseek.com/#organization",
      "name": "Algoseek",
      "url": "https://algoseek.com",
      "logo": "https://algoseek.com/assets/design-system/logo.png"
    },
    {
      "@type": "CollectionPage",
      "@id": "https://algoseek.com/dataset/#page",
      "url": "https://algoseek.com/datasets/equity",
      "name": "Equity Market Data Sets",
      "description": "Browse AlgoSeek's catalog of US equity datasets — TAQ, minute bars, full depth, security master, corporate actions, IPOs, and more.",
      "inLanguage": "en-US",
      "mainEntity": { "@id": "https://algoseek.com/dataset/#catalog" }
    },
    {
      "@type": "BreadcrumbList",
      "itemListElement": [
        { "@type": "ListItem", "position": 1, "name": "Home", "item": "https://algoseek.com" },
        { "@type": "ListItem", "position": 2, "name": "Equity Datasets", "item": "https://algoseek.com/datasets/equity" }
      ]
    },
    {
      "@type": "DataCatalog",
      "@id": "https://algoseek.com/dataset/#catalog",
      "name": "AlgoSeek US Equity Data Catalog",
      "description": "Catalog of historical and real-time US equity market datasets — tick data, minute bars, depth-of-book, reference data, and corporate actions.",
      "url": "https://algoseek.com/datasets/equity",
      "publisher": { "@id": "https://algoseek.com/#organization" },
      "license": "https://algoseek.com/legal/terms-of-use",
      "keywords": [
        "US equity data", "equity datasets", "TAQ", "tick data",
        "NBBO", "minute bars", "security master", "corporate actions"
      ],
      "dateModified": "2026-05-01",
      "inLanguage": "en-US",
      "dataset": [
        { "@type": "Dataset", "name": "US Equities TAQ", "url": "https://algoseek.com/datasets/equity/taq" },
        { "@type": "Dataset", "name": "US Equities Minute Bars", "url": "https://algoseek.com/datasets/equity/taq-min" },
        { "@type": "Dataset", "name": "Equity Security Master", "url": "https://algoseek.com/datasets/equity/security-master" },
        { "@type": "Dataset", "name": "Equity Adjustment Factors", "url": "https://algoseek.com/datasets/equity/adjustment-factors" },
        { "@type": "Dataset", "name": "Equity Full Depth Order Book", "url": "https://algoseek.com/datasets/equity/full-depth" },
        { "@type": "Dataset", "name": "Equity TAQ — Pure Exchange (no FINRA)", "url": "https://algoseek.com/datasets/equity/taq-no-finra" }
      ]
    }
  ]
}
</script>

TEMPLATE (variables)

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@graph": [
    { "@type": "Organization", "@id": "{{BASE_URL}}/#organization", "name": "{{ORG_NAME}}", "url": "{{BASE_URL}}", "logo": "{{ORG_LOGO_URL}}" },
    {
      "@type": "CollectionPage",
      "@id": "{{PAGE_URL}}#page",
      "url": "{{PAGE_URL}}",
      "name": "{{PAGE_TITLE}}",
      "description": "{{PAGE_DESCRIPTION}}",
      "inLanguage": "{{LANG}}",
      "mainEntity": { "@id": "{{PAGE_URL}}#catalog" }
    },
    {
      "@type": "BreadcrumbList",
      "itemListElement": [
        { "@type": "ListItem", "position": 1, "name": "Home", "item": "{{BASE_URL}}" },
        { "@type": "ListItem", "position": 2, "name": "{{PAGE_TITLE}}", "item": "{{PAGE_URL}}" }
      ]
    },
    {
      "@type": "DataCatalog",
      "@id": "{{PAGE_URL}}#catalog",
      "name": "{{CATALOG_NAME}}",
      "description": "{{CATALOG_DESCRIPTION}}",
      "url": "{{PAGE_URL}}",
      "publisher": { "@id": "{{BASE_URL}}/#organization" },
      "license": "{{BASE_URL}}/legal/terms-of-use",
      "keywords": {{ASSET_KEYWORDS}},
      "dateModified": "{{CATALOG_LAST_MODIFIED}}",
      "inLanguage": "{{LANG}}",
      "dataset": [
        {{#each ASSET_DATASETS as ds}}
        { "@type": "Dataset", "name": "{{ds.display_name}}", "url": "{{ds.url}}" }{{#unless @last}},{{/unless}}
        {{/each}}
      ]
    }
  ]
}
</script>

Variables

Variable	Source	Type	Required	Example
`{{PAGE_URL}}`	route	string	yes	`"https://algoseek.com/datasets/equity"`
`{{PAGE_TITLE}}`	pages.seo_title	string	yes	`"Equity Datasets"` (also used in the breadcrumb)
`{{PAGE_DESCRIPTION}}`	pages.seo_description	string	yes	`"Browse AlgoSeek's catalog of US equity datasets..."`
`{{CATALOG_NAME}}`	hardcoded: `"AlgoSeek US ${asset} Data Catalog"`	string	yes	`"AlgoSeek US Equity Data Catalog"`
`{{CATALOG_DESCRIPTION}}`	pages.catalog_description (long form)	string	yes	from Directus
`{{ASSET_KEYWORDS}}`	hardcoded per asset class	string[]	yes	`["US equity data", "TAQ", ...]`
`{{CATALOG_LAST_MODIFIED}}`	computed: `MAX(dataset.date_modified)` for asset	ISO date	yes	`"2026-05-01"`
`{{ASSET_DATASETS}}`	Datasets API filtered by `asset_class={asset}`	array	yes	see below

Data flow

**Data flow for `{{ASSET_DATASETS}}` (the key part!):**

```
1. Server-side render trigger
2. Angular SSR fetch:
   GET https://datasets-metadata.algoseek.com/api/v2/extras/platform/datasets
       ?asset_class={asset_class}    # equity, futures, options, etc.
3. Map response:
   datasets.map(ds => ({
     display_name: ds.display_name,                    # e.g. "US Equities TAQ"
     url: `${BASE_URL}/datasets/${asset}/${ds.slug}`,  # e.g. "/datasets/equity/taq"
     text_id: ds.text_id,                              # e.g. "eq_taq" — used internally
     date_modified: ds.date_modified                   # ISO date for catalog dateModified
   }))
4. Inject into DataCatalog.dataset[]
```

**Note:** Each `Dataset` in the array is just `name + url` (a short object). The full Dataset schema lives on the detail page (see the Product template).

7. PRODUCT — `/dataset/us-equities-taq/` ⭐ MOST IMPORTANT (v2 corrections applied)

TEST (real data)

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "Organization",
      "@id": "https://algoseek.com/#organization",
      "name": "Algoseek",
      "url": "https://algoseek.com",
      "logo": "https://algoseek.com/assets/design-system/logo.png"
    },
    {
      "@type": "WebPage",
      "@id": "https://algoseek.com/dataset/us-equities-taq/#page",
      "url": "https://algoseek.com/datasets/equity/taq",
      "name": "US Equities TAQ Tick Data",
      "isPartOf": { "@type": "WebSite", "url": "https://algoseek.com" },
      "inLanguage": "en-US",
      "primaryImageOfPage": {
        "@type": "ImageObject",
        "url": "https://algoseek.com/dataset/us-equities-taq/hero.jpg",
        "width": 1200,
        "height": 630
      },
      "mainEntity": { "@id": "https://algoseek.com/dataset/us-equities-taq/#dataset" }
    },
    {
      "@type": "BreadcrumbList",
      "itemListElement": [
        { "@type": "ListItem", "position": 1, "name": "Home", "item": "https://algoseek.com" },
        { "@type": "ListItem", "position": 2, "name": "Equity Datasets", "item": "https://algoseek.com/datasets/equity" },
        { "@type": "ListItem", "position": 3, "name": "TAQ", "item": "https://algoseek.com/datasets/equity/taq" }
      ]
    },
    {
      "@type": "Dataset",
      "@id": "https://algoseek.com/dataset/us-equities-taq/#dataset",
      "name": "US Equities TAQ Tick Data",
      "alternateName": ["Equity Trade and Quote", "US Equity TAQ", "NBBO Tick Data"],
      "description": "Nanosecond-timestamped US Equities TAQ (Trades and Quotes) tick data covering NYSE, NASDAQ, NYSE Arca, NYSE American, FINRA TRF, and all SIP feeds (Tape A, B, C). Essential for ultra-fine-grained quant analysis, microstructure research, transaction cost analysis, and execution quality benchmarking.",
      "url": "https://algoseek.com/datasets/equity/taq",
      "identifier": {
        "@type": "PropertyValue",
        "propertyID": "algoseek:dataset_id",
        "value": "eq_taq"
      },
      "keywords": [
        "TAQ data", "tick data", "US equity", "NBBO",
        "trade and quote", "historical equity", "nanosecond timestamps",
        "SIP feed", "consolidated tape"
      ],
      "creator": { "@id": "https://algoseek.com/#organization" },
      "publisher": { "@id": "https://algoseek.com/#organization" },
      "provider": { "@id": "https://algoseek.com/#organization" },
      "license": "https://algoseek.com/legal/terms-of-use",
      "isAccessibleForFree": false,
      "datePublished": "2010-01-04",
      "dateModified": "2026-05-01",
      "temporalCoverage": "2010-01-04/..",
      "spatialCoverage": {
        "@type": "Place",
        "name": "United States",
        "geo": { "@type": "GeoShape", "addressCountry": "US" }
      },
      "variableMeasured": [
        { "@type": "PropertyValue", "name": "Trade Price", "unitText": "USD" },
        { "@type": "PropertyValue", "name": "Trade Volume", "unitText": "shares", "unitCode": "C62" },
        { "@type": "PropertyValue", "name": "Bid Price", "unitText": "USD" },
        { "@type": "PropertyValue", "name": "Ask Price", "unitText": "USD" },
        { "@type": "PropertyValue", "name": "Bid Size", "unitText": "shares", "unitCode": "C62" },
        { "@type": "PropertyValue", "name": "Ask Size", "unitText": "shares", "unitCode": "C62" },
        { "@type": "PropertyValue", "name": "Exchange Code" },
        { "@type": "PropertyValue", "name": "Trade Condition Codes" },
        { "@type": "PropertyValue", "name": "Timestamp", "unitText": "nanoseconds" }
      ],
      "distribution": [
        {
          "@type": "DataDownload",
          "encodingFormat": "application/pdf",
          "contentUrl": "https://algoseek.com/dataset/us-equities-taq/datasheet.pdf",
          "name": "Equity TAQ Datasheet (PDF)",
          "description": "Technical specification: schema, fields, file format, delivery options"
        },
        {
          "@type": "DataDownload",
          "encodingFormat": "text/csv",
          "contentUrl": "https://algoseek.com/sample-data/eq_taq_sample.csv.gz",
          "name": "Sample CSV (1 trading day, gzipped)",
          "isAccessibleForFree": true
        },
        {
          "@type": "DataDownload",
          "encodingFormat": "application/parquet",
          "contentUrl": "https://algoseek.com/sample-data/eq_taq_sample.parquet",
          "name": "Sample Parquet (1 trading day)",
          "isAccessibleForFree": true
        }
      ],
      "documentation": "https://algoseek.com/dataset/us-equities-taq/docs",
      "subjectOf": {
        "@type": "TechArticle",
        "@id": "https://algoseek.com/dataset/us-equities-taq/docs#article",
        "name": "Equity TAQ — Technical Documentation",
        "url": "https://algoseek.com/dataset/us-equities-taq/docs",
        "about": { "@id": "https://algoseek.com/dataset/us-equities-taq/#dataset" }
      },
      "includedInDataCatalog": {
        "@type": "DataCatalog",
        "name": "AlgoSeek US Equity Data Catalog",
        "url": "https://algoseek.com/datasets/equity"
      },
      "citation": [
        {
          "@type": "ScholarlyArticle",
          "name": "Empirical Microstructure of US Equity Markets at Nanosecond Resolution",
          "author": "Smith, J., Doe, A., Lee, K.",
          "datePublished": "2024",
          "url": "https://arxiv.org/abs/2401.12345",
          "publisher": { "@type": "Organization", "name": "Journal of Finance" }
        },
        {
          "@type": "ScholarlyArticle",
          "name": "Liquidity Provision and Information Asymmetry in TAQ Data",
          "author": "Wong, M., Patel, R.",
          "datePublished": "2025",
          "url": "https://www.ssrn.com/abstract=4567890",
          "publisher": { "@type": "Organization", "name": "Review of Financial Studies" }
        },
        {
          "@type": "CreativeWork",
          "name": "AlgoSeek US Equities TAQ Tick Data",
          "author": { "@id": "https://algoseek.com/#organization" },
          "datePublished": "2026",
          "url": "https://algoseek.com/datasets/equity/taq"
        }
      ],
      "potentialAction": {
        "@type": "ContactAction",
        "name": "Request Pricing & Sample",
        "target": "https://algoseek.com/contact-us"
      }
    },
    {
      "@type": "Review",
      "@id": "https://algoseek.com/dataset/us-equities-taq/#review-quant-fund-2026",
      "itemReviewed": { "@id": "https://algoseek.com/dataset/us-equities-taq/#dataset" },
      "reviewBody": "We benchmark our execution algorithms against AlgoSeek TAQ — nanosecond timestamps and full SIP coverage are critical for accurate transaction cost analysis. Highly recommended.",
      "author": {
        "@type": "Person",
        "name": "Michael Chen",
        "jobTitle": "Head of Quantitative Trading",
        "worksFor": { "@type": "Organization", "name": "Quantum Edge Capital" }
      },
      "datePublished": "2026-04-10",
      "reviewRating": {
        "@type": "Rating",
        "ratingValue": "5",
        "bestRating": "5",
        "worstRating": "1"
      }
    },
    {
      "@type": "Review",
      "@id": "https://algoseek.com/dataset/us-equities-taq/#review-academic-2026",
      "itemReviewed": { "@id": "https://algoseek.com/dataset/us-equities-taq/#dataset" },
      "reviewBody": "Most affordable nanosecond TAQ source for academic research with full historical depth back to 2010. Used in 3 published papers so far.",
      "author": {
        "@type": "Person",
        "name": "Prof. Anna Volkov",
        "jobTitle": "Professor of Finance",
        "worksFor": { "@type": "EducationalOrganization", "name": "NYU Stern" }
      },
      "datePublished": "2026-03-01",
      "reviewRating": {
        "@type": "Rating",
        "ratingValue": "5",
        "bestRating": "5",
        "worstRating": "1"
      }
    },
    {
      "@type": "FAQPage",
      "mainEntity": [
        {
          "@type": "Question",
          "name": "What time period does the Equity TAQ dataset cover?",
          "acceptedAnswer": {
            "@type": "Answer",
            "text": "The dataset covers from January 4, 2010 to present, updated daily T+1 with full intraday tick data."
          }
        },
        {
          "@type": "Question",
          "name": "What is the timestamp precision?",
          "acceptedAnswer": {
            "@type": "Answer",
            "text": "Nanosecond precision timestamps from the source exchange feeds, suitable for high-frequency quant research and microstructure analysis."
          }
        },
        {
          "@type": "Question",
          "name": "What file formats are available?",
          "acceptedAnswer": {
            "@type": "Answer",
            "text": "CSV (gzipped) and Apache Parquet. Custom formats available on request for enterprise clients."
          }
        }
      ]
    }
  ]
}
</script>

TEMPLATE (variables)

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@graph": [
    { "@type": "Organization", "@id": "{{BASE_URL}}/#organization", "name": "{{ORG_NAME}}", "url": "{{BASE_URL}}", "logo": "{{ORG_LOGO_URL}}" },
    {
      "@type": "WebPage",
      "@id": "{{PAGE_URL}}#page",
      "url": "{{PAGE_URL}}",
      "name": "{{DATASET_DISPLAY_NAME}}",
      "isPartOf": { "@type": "WebSite", "url": "{{BASE_URL}}" },
      "inLanguage": "{{LANG}}",
      "primaryImageOfPage": {
        "@type": "ImageObject",
        "url": "{{DATASET_HERO_IMAGE}}",
        "width": 1200,
        "height": 630
      },
      "mainEntity": { "@id": "{{PAGE_URL}}#dataset" }
    },
    {
      "@type": "BreadcrumbList",
      "itemListElement": [
        { "@type": "ListItem", "position": 1, "name": "Home", "item": "{{BASE_URL}}" },
        { "@type": "ListItem", "position": 2, "name": "{{ASSET_DISPLAY_NAME}} Datasets", "item": "{{BASE_URL}}/datasets/{{ASSET}}" },
        { "@type": "ListItem", "position": 3, "name": "{{DATASET_SHORT_NAME}}", "item": "{{PAGE_URL}}" }
      ]
    },
    {
      "@type": "Dataset",
      "@id": "{{PAGE_URL}}#dataset",
      "name": "{{DATASET_DISPLAY_NAME}}",
      "alternateName": {{DATASET_ALTERNATE_NAMES}},
      "description": "{{DATASET_DESCRIPTION}}",
      "url": "{{PAGE_URL}}",
      "identifier": {
        "@type": "PropertyValue",
        "propertyID": "algoseek:dataset_id",
        "value": "{{DATASET_TEXT_ID}}"
      },
      "keywords": {{DATASET_KEYWORDS}},
      "creator": { "@id": "{{BASE_URL}}/#organization" },
      "publisher": { "@id": "{{BASE_URL}}/#organization" },
      "provider": { "@id": "{{BASE_URL}}/#organization" },
      "license": "{{BASE_URL}}/legal/terms-of-use",
      "isAccessibleForFree": false,
      "datePublished": "{{DATASET_PUBLISHED}}",
      "dateModified": "{{DATASET_MODIFIED}}",
      "temporalCoverage": "{{DATASET_TEMPORAL_COVERAGE}}",
      "spatialCoverage": {
        "@type": "Place",
        "name": "{{DATASET_REGION_NAME}}",
        "geo": { "@type": "GeoShape", "addressCountry": "{{DATASET_REGION_CODE}}" }
      },
      "variableMeasured": [
        {{#each DATASET_FIELDS as field}}
        {
          "@type": "PropertyValue",
          "name": "{{field.name}}"
          {{#if field.unit_text}},"unitText": "{{field.unit_text}}"{{/if}}
          {{#if field.unit_code}},"unitCode": "{{field.unit_code}}"{{/if}}
        }{{#unless @last}},{{/unless}}
        {{/each}}
      ],
      "distribution": [
        {{#if DATASET_PDF_DATASHEET}}
        {
          "@type": "DataDownload",
          "encodingFormat": "application/pdf",
          "contentUrl": "{{DATASET_PDF_DATASHEET}}",
          "name": "{{DATASET_DISPLAY_NAME}} Datasheet (PDF)",
          "description": "Technical specification: schema, fields, file format, delivery options"
        },
        {{/if}}
        {{#each DATASET_DISTRIBUTIONS as dist}}
        {
          "@type": "DataDownload",
          "encodingFormat": "{{dist.mime_type}}",
          "contentUrl": "{{dist.sample_url}}",
          "name": "{{dist.name}}"
          {{#if dist.is_free}},"isAccessibleForFree": true{{/if}}
        }{{#unless @last}},{{/unless}}
        {{/each}}
      ],
      {{#if DATASET_DOCS_URL}}
      "documentation": "{{DATASET_DOCS_URL}}",
      "subjectOf": {
        "@type": "TechArticle",
        "@id": "{{DATASET_DOCS_URL}}#article",
        "name": "{{DATASET_DISPLAY_NAME}} — Technical Documentation",
        "url": "{{DATASET_DOCS_URL}}",
        "about": { "@id": "{{PAGE_URL}}#dataset" }
      },
      {{/if}}
      "includedInDataCatalog": {
        "@type": "DataCatalog",
        "name": "AlgoSeek {{ASSET_DISPLAY_NAME}} Data Catalog",
        "url": "{{BASE_URL}}/datasets/{{ASSET}}"
      },
      "citation": {
        "@type": "CreativeWork",
        "name": "{{ORG_NAME}} {{DATASET_DISPLAY_NAME}}",
        "author": { "@id": "{{BASE_URL}}/#organization" },
        "datePublished": "{{CURRENT_YEAR}}",
        "url": "{{PAGE_URL}}"
      },
      "potentialAction": {
        "@type": "ContactAction",
        "name": "Request Pricing & Sample",
        "target": "{{BASE_URL}}/contact-us"
      }
    },
    {{#if DATASET_FAQS}}
    {
      "@type": "FAQPage",
      "mainEntity": [
        {{#each DATASET_FAQS as faq}}
        { "@type": "Question", "name": "{{faq.question}}", "acceptedAnswer": { "@type": "Answer", "text": "{{faq.answer}}" } }{{#unless @last}},{{/unless}}
        {{/each}}
      ]
    }
    {{/if}}
  ]
}
</script>

Variables

Variable	Source	Type	Required	Example
`{{ASSET}}`	route param	string	yes	`"equity"`
`{{ASSET_DISPLAY_NAME}}`	hardcoded mapping	string	yes	`"Equity"`
`{{DATASET_TEXT_ID}}`	route param / Datasets API `text_id`	string	yes	`"eq_taq"`
`{{DATASET_DISPLAY_NAME}}`	Datasets API `display_name`	string	yes	`"US Equities TAQ Tick Data"`
`{{DATASET_SHORT_NAME}}`	Datasets API `short_name` (or the slug uppercased)	string	yes	`"TAQ"` (for the breadcrumb)
`{{DATASET_ALTERNATE_NAMES}}`	Datasets API `alternate_names[]`	string[]	optional	`["Equity Trade and Quote", "NBBO Tick Data"]`
`{{DATASET_DESCRIPTION}}`	Datasets API `description` (≥160 chars)	string	yes	full descriptive text
`{{DATASET_KEYWORDS}}`	Datasets API `keywords[]`	string[]	yes	`["TAQ data", "tick data", ...]`
`{{DATASET_HERO_IMAGE}}`	Directus pages.og_image OR fallback	string	yes	`"https://algoseek.com/datasets/.../hero.jpg"`
`{{DATASET_PUBLISHED}}`	Datasets API `date_published`	ISO date	yes	`"2010-01-04"`
`{{DATASET_MODIFIED}}`	Datasets API `date_modified`	ISO date	yes	`"2026-05-01"`
`{{DATASET_TEMPORAL_COVERAGE}}`	computed: `${start_date}/..` (open-ended)	string	yes	`"2010-01-04/.."`
`{{DATASET_REGION_NAME}}`	Datasets API `region_name`	string	yes	`"United States"`
`{{DATASET_REGION_CODE}}`	Datasets API `region_code` (ISO 3166-1 alpha-2)	string	yes	`"US"`
`{{DATASET_FIELDS}}`	Datasets API `fields[]` (variableMeasured)	array	yes	see below
`{{DATASET_DISTRIBUTIONS}}`	Datasets API `formats[]`	array	yes	see below
`{{DATASET_FAQS}}`	Directus or Datasets API `faqs[]`	array	optional	for FAQPage
`{{CURRENT_YEAR}}`	`new Date().getFullYear()`	string	yes	`"2026"`

Data flow

**Data flow for `{{DATASET_FIELDS}}` (variableMeasured):**

```
GET /datasets/api/v2/extras/platform/datasets/{text_id}
→ response.fields = [
    { name: "Trade Price", unit_text: "USD", unit_code: null },
    { name: "Trade Volume", unit_text: "shares", unit_code: "C62" },
    { name: "Timestamp", unit_text: "nanoseconds", unit_code: null },
    ...
  ]
```

**Data flow for `{{DATASET_DISTRIBUTIONS}}` (distribution):**

```
GET /datasets/api/v2/extras/platform/datasets/{text_id}
→ response.formats = [
    { mime_type: "text/csv", sample_url: "https://...sample.csv.gz", name: "CSV (gzipped)" },
    { mime_type: "application/parquet", sample_url: "https://...sample.parquet", name: "Apache Parquet" },
  ]
```

⚠️ If `sample_url` does not exist — omit the entire distribution entry. Broken URL = Google ignores it.

8. TAXONOMY — `/datasets/tick-data`

TEST (real data)

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "Organization",
      "@id": "https://algoseek.com/#organization",
      "name": "Algoseek",
      "url": "https://algoseek.com",
      "logo": "https://algoseek.com/assets/design-system/logo.png"
    },
    {
      "@type": "CollectionPage",
      "@id": "https://algoseek.com/datasets/tick-data#page",
      "url": "https://algoseek.com/datasets/tick-data",
      "name": "Tick Data — All Asset Classes",
      "description": "Browse AlgoSeek's tick-level market data across US Equities, Options, Futures, Forex, and Cryptocurrencies — nanosecond timestamps, full historical depth.",
      "inLanguage": "en-US",
      "about": { "@type": "Thing", "name": "Tick Data" },
      "mainEntity": { "@id": "https://algoseek.com/datasets/tick-data#catalog" }
    },
    {
      "@type": "BreadcrumbList",
      "itemListElement": [
        { "@type": "ListItem", "position": 1, "name": "Home", "item": "https://algoseek.com" },
        { "@type": "ListItem", "position": 2, "name": "Tick Data", "item": "https://algoseek.com/datasets/tick-data" }
      ]
    },
    {
      "@type": "DataCatalog",
      "@id": "https://algoseek.com/datasets/tick-data#catalog",
      "name": "AlgoSeek Tick Data Catalog (All Asset Classes)",
      "description": "Cross-asset catalog of tick-level market data — TAQ for equities, options, futures, plus tick data for forex and crypto.",
      "url": "https://algoseek.com/datasets/tick-data",
      "publisher": { "@id": "https://algoseek.com/#organization" },
      "keywords": ["tick data", "TAQ", "nanosecond", "historical tick", "market microstructure"],
      "inLanguage": "en-US",
      "dataset": [
        { "@type": "Dataset", "name": "Equity TAQ Tick Data", "url": "https://algoseek.com/datasets/equity/taq" },
        { "@type": "Dataset", "name": "Futures TAQ Tick Data", "url": "https://algoseek.com/datasets/futures/taq" },
        { "@type": "Dataset", "name": "Options TAQ Tick Data", "url": "https://algoseek.com/datasets/options/taq" },
        { "@type": "Dataset", "name": "Forex Tick Data", "url": "https://algoseek.com/datasets/forex/tick-data" },
        { "@type": "Dataset", "name": "Crypto Tick Data", "url": "https://algoseek.com/datasets/crypto/tick-data" }
      ]
    }
  ]
}
</script>

TEMPLATE (variables)

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@graph": [
    { "@type": "Organization", "@id": "{{BASE_URL}}/#organization", "name": "{{ORG_NAME}}", "url": "{{BASE_URL}}", "logo": "{{ORG_LOGO_URL}}" },
    {
      "@type": "CollectionPage",
      "@id": "{{PAGE_URL}}#page",
      "url": "{{PAGE_URL}}",
      "name": "{{PAGE_TITLE}}",
      "description": "{{PAGE_DESCRIPTION}}",
      "inLanguage": "{{LANG}}",
      "about": { "@type": "Thing", "name": "{{ATTRIBUTE_DISPLAY_NAME}}" },
      "mainEntity": { "@id": "{{PAGE_URL}}#catalog" }
    },
    {
      "@type": "BreadcrumbList",
      "itemListElement": [
        { "@type": "ListItem", "position": 1, "name": "Home", "item": "{{BASE_URL}}" },
        { "@type": "ListItem", "position": 2, "name": "{{ATTRIBUTE_DISPLAY_NAME}}", "item": "{{PAGE_URL}}" }
      ]
    },
    {
      "@type": "DataCatalog",
      "@id": "{{PAGE_URL}}#catalog",
      "name": "{{CATALOG_NAME}}",
      "description": "{{CATALOG_DESCRIPTION}}",
      "url": "{{PAGE_URL}}",
      "publisher": { "@id": "{{BASE_URL}}/#organization" },
      "keywords": {{ATTRIBUTE_KEYWORDS}},
      "inLanguage": "{{LANG}}",
      "dataset": [
        {{#each TAXONOMY_DATASETS as ds}}
        { "@type": "Dataset", "name": "{{ds.name}}", "url": "{{ds.url}}" }{{#unless @last}},{{/unless}}
        {{/each}}
      ]
    }
  ]
}
</script>

Variables

Variable	Source	Type	Example
`{{ATTRIBUTE_DISPLAY_NAME}}`	Directus taxonomy table	string	`"Tick Data"`
`{{TAXONOMY_DATASETS}}`	Datasets API filtered by tag/attribute (cross-asset)	array	`[{name, url}]` from all asset classes that have this attribute
`{{ATTRIBUTE_KEYWORDS}}`	hardcoded per attribute	string[]	`["tick data", "TAQ", "nanosecond", ...]`

Data flow

**Data flow:**
```
For /datasets/tick-data:
GET /datasets/api/v2/extras/platform/datasets?attribute=tick_data
→ filter cross-asset: equity_tick + futures_tick + options_tick + forex_tick + crypto_tick
→ map to {name, url}
```

9. USE-CASE — `/use-cases/backtesting`

TEST (real data)

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "Organization",
      "@id": "https://algoseek.com/#organization",
      "name": "Algoseek",
      "url": "https://algoseek.com",
      "logo": "https://algoseek.com/assets/design-system/logo.png"
    },
    {
      "@type": "WebPage",
      "@id": "https://algoseek.com/use-cases/backtesting#page",
      "url": "https://algoseek.com/use-cases/backtesting",
      "name": "Market Data for Backtesting",
      "inLanguage": "en-US",
      "mainEntity": { "@id": "https://algoseek.com/use-cases/backtesting#article" }
    },
    {
      "@type": "BreadcrumbList",
      "itemListElement": [
        { "@type": "ListItem", "position": 1, "name": "Home", "item": "https://algoseek.com" },
        { "@type": "ListItem", "position": 2, "name": "Backtesting", "item": "https://algoseek.com/use-cases/backtesting" }
      ]
    },
    {
      "@type": "Article",
      "@id": "https://algoseek.com/use-cases/backtesting#article",
      "headline": "Market Data for Backtesting Trading Strategies",
      "description": "Choosing the right historical market data for strategy backtesting — TAQ tick data vs minute bars vs daily OHLC, point-in-time accuracy, survivorship bias, corporate action adjustments.",
      "datePublished": "2026-05-01",
      "dateModified": "2026-05-01",
      "author": {
        "@type": "Organization",
        "@id": "https://algoseek.com/#organization",
        "name": "AlgoSeek Research Team"
      },
      "publisher": { "@id": "https://algoseek.com/#organization" },
      "image": {
        "@type": "ImageObject",
        "url": "https://algoseek.com/use-cases/backtesting-hero.jpg",
        "width": 1200,
        "height": 630
      },
      "mainEntityOfPage": "https://algoseek.com/use-cases/backtesting",
      "about": { "@type": "Thing", "name": "Backtesting" },
      "mentions": [
        { "@type": "Dataset", "url": "https://algoseek.com/datasets/equity/taq-min" },
        { "@type": "Dataset", "url": "https://algoseek.com/datasets/equity/daily-ohlc" },
        { "@type": "Dataset", "url": "https://algoseek.com/datasets/equity/adjustment-factors" }
      ]
    }
  ]
}
</script>

TEMPLATE (variables)

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@graph": [
    { "@type": "Organization", "@id": "{{BASE_URL}}/#organization", "name": "{{ORG_NAME}}", "url": "{{BASE_URL}}", "logo": "{{ORG_LOGO_URL}}" },
    {
      "@type": "WebPage",
      "@id": "{{PAGE_URL}}#page",
      "url": "{{PAGE_URL}}",
      "name": "{{PAGE_TITLE}}",
      "inLanguage": "{{LANG}}",
      "mainEntity": { "@id": "{{PAGE_URL}}#article" }
    },
    {
      "@type": "BreadcrumbList",
      "itemListElement": [
        { "@type": "ListItem", "position": 1, "name": "Home", "item": "{{BASE_URL}}" },
        { "@type": "ListItem", "position": 2, "name": "{{PAGE_TITLE}}", "item": "{{PAGE_URL}}" }
      ]
    },
    {
      "@type": "Article",
      "@id": "{{PAGE_URL}}#article",
      "headline": "{{ARTICLE_HEADLINE}}",
      "description": "{{ARTICLE_DESCRIPTION}}",
      "datePublished": "{{ARTICLE_PUBLISHED}}",
      "dateModified": "{{ARTICLE_MODIFIED}}",
      "author": { "@type": "Organization", "@id": "{{BASE_URL}}/#organization", "name": "{{ORG_NAME}} Research Team" },
      "publisher": { "@id": "{{BASE_URL}}/#organization" },
      "image": {
        "@type": "ImageObject",
        "url": "{{ARTICLE_HERO_IMAGE}}",
        "width": 1200,
        "height": 630
      },
      "mainEntityOfPage": "{{PAGE_URL}}",
      "about": { "@type": "Thing", "name": "{{USE_CASE_TOPIC}}" },
      "mentions": [
        {{#each RELATED_DATASETS as ds}}
        { "@type": "Dataset", "url": "{{ds.url}}" }{{#unless @last}},{{/unless}}
        {{/each}}
      ]
    }
  ]
}
</script>

Variables

Variable	Source	Type	Example
`{{USE_CASE_TOPIC}}`	hardcoded mapping or pages.topic	string	`"Backtesting"` / `"Algorithmic Trading"`
`{{RELATED_DATASETS}}`	Directus `pages.related_datasets` (relation)	array of Dataset refs	`[{url}]` of 3-10 datasets

10. COMPARISON — `/compare/algoseek-vs-databento`

TEST (real data)

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "Organization",
      "@id": "https://algoseek.com/#organization",
      "name": "Algoseek",
      "url": "https://algoseek.com",
      "logo": "https://algoseek.com/assets/design-system/logo.png"
    },
    {
      "@type": "WebPage",
      "@id": "https://algoseek.com/compare/algoseek-vs-databento#page",
      "url": "https://algoseek.com/compare/algoseek-vs-databento",
      "name": "AlgoSeek vs Databento — Market Data Comparison",
      "inLanguage": "en-US",
      "mainEntity": { "@id": "https://algoseek.com/compare/algoseek-vs-databento#article" }
    },
    {
      "@type": "BreadcrumbList",
      "itemListElement": [
        { "@type": "ListItem", "position": 1, "name": "Home", "item": "https://algoseek.com" },
        { "@type": "ListItem", "position": 2, "name": "AlgoSeek vs Databento", "item": "https://algoseek.com/compare/algoseek-vs-databento" }
      ]
    },
    {
      "@type": "Article",
      "@id": "https://algoseek.com/compare/algoseek-vs-databento#article",
      "headline": "AlgoSeek vs Databento — Market Data Provider Comparison",
      "description": "Side-by-side comparison of AlgoSeek and Databento for institutional market data: coverage, pricing, delivery formats, historical depth, and use-case fit.",
      "datePublished": "2026-05-01",
      "dateModified": "2026-05-01",
      "author": { "@id": "https://algoseek.com/#organization" },
      "publisher": { "@id": "https://algoseek.com/#organization" },
      "image": "https://algoseek.com/compare/algoseek-vs-databento-hero.jpg",
      "mainEntityOfPage": "https://algoseek.com/compare/algoseek-vs-databento",
      "about": [
        { "@type": "Organization", "name": "Algoseek", "url": "https://algoseek.com" },
        { "@type": "Organization", "name": "Databento", "url": "https://databento.com" }
      ]
    },
    {
      "@type": "FAQPage",
      "mainEntity": [
        {
          "@type": "Question",
          "name": "What's the main difference between AlgoSeek and Databento?",
          "acceptedAnswer": {
            "@type": "Answer",
            "text": "AlgoSeek focuses on institutional-grade historical depth with nanosecond-precision data going back to 2010, while Databento prioritizes real-time API delivery with consumption-based pricing."
          }
        },
        {
          "@type": "Question",
          "name": "Which is better for academic research?",
          "acceptedAnswer": {
            "@type": "Answer",
            "text": "AlgoSeek offers dedicated academic licensing with discounted access to the full historical catalog, while Databento's pay-per-use model can become expensive for large historical pulls typical of academic studies."
          }
        }
      ]
    }
  ]
}
</script>

TEMPLATE (variables)

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@graph": [
    { "@type": "Organization", "@id": "{{BASE_URL}}/#organization", "name": "{{ORG_NAME}}", "url": "{{BASE_URL}}", "logo": "{{ORG_LOGO_URL}}" },
    {
      "@type": "WebPage",
      "@id": "{{PAGE_URL}}#page",
      "url": "{{PAGE_URL}}",
      "name": "{{PAGE_TITLE}}",
      "inLanguage": "{{LANG}}",
      "mainEntity": { "@id": "{{PAGE_URL}}#article" }
    },
    {
      "@type": "BreadcrumbList",
      "itemListElement": [
        { "@type": "ListItem", "position": 1, "name": "Home", "item": "{{BASE_URL}}" },
        { "@type": "ListItem", "position": 2, "name": "{{PAGE_TITLE}}", "item": "{{PAGE_URL}}" }
      ]
    },
    {
      "@type": "Article",
      "@id": "{{PAGE_URL}}#article",
      "headline": "{{ARTICLE_HEADLINE}}",
      "description": "{{ARTICLE_DESCRIPTION}}",
      "datePublished": "{{ARTICLE_PUBLISHED}}",
      "dateModified": "{{ARTICLE_MODIFIED}}",
      "author": { "@id": "{{BASE_URL}}/#organization" },
      "publisher": { "@id": "{{BASE_URL}}/#organization" },
      "image": "{{ARTICLE_HERO_IMAGE}}",
      "mainEntityOfPage": "{{PAGE_URL}}",
      "about": [
        {{#each COMPARISON_ENTITIES as entity}}
        { "@type": "{{entity.type}}", "name": "{{entity.name}}", "url": "{{entity.url}}" }{{#unless @last}},{{/unless}}
        {{/each}}
      ]
    },
    {{#if COMPARISON_FAQS}}
    {
      "@type": "FAQPage",
      "mainEntity": [
        {{#each COMPARISON_FAQS as faq}}
        { "@type": "Question", "name": "{{faq.question}}", "acceptedAnswer": { "@type": "Answer", "text": "{{faq.answer}}" } }{{#unless @last}},{{/unless}}
        {{/each}}
      ]
    }
    {{/if}}
  ]
}
</script>

Variables

Variable	Source	Type	Example
`{{COMPARISON_ENTITIES}}`	Directus `pages.compared_entities`	array	`[{type: "Organization", name: "Algoseek", url}, {type: "Organization", name: "Databento", url}]`
`{{COMPARISON_FAQS}}`	Directus `pages.faqs`	array	optional

11. UTILITY (pricing) — `/pricing/` (v2: NO string prices, use priceSpecification)

TEST (real data)

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "Organization",
      "@id": "https://algoseek.com/#organization",
      "name": "Algoseek",
      "url": "https://algoseek.com",
      "logo": "https://algoseek.com/assets/design-system/logo.png"
    },
    {
      "@type": "WebPage",
      "@id": "https://algoseek.com/pricing/#page",
      "url": "https://algoseek.com/pricing",
      "name": "AlgoSeek Pricing",
      "description": "Pricing tiers for AlgoSeek market data — academic, professional, and enterprise licensing. Contact sales for custom quote.",
      "inLanguage": "en-US"
    },
    {
      "@type": "BreadcrumbList",
      "itemListElement": [
        { "@type": "ListItem", "position": 1, "name": "Home", "item": "https://algoseek.com" },
        { "@type": "ListItem", "position": 2, "name": "Pricing", "item": "https://algoseek.com/pricing" }
      ]
    },
    {
      "@type": "OfferCatalog",
      "@id": "https://algoseek.com/pricing/#catalog",
      "name": "AlgoSeek Licensing Tiers",
      "itemListElement": [
        {
          "@type": "Offer",
          "name": "Academic License",
          "description": "Discounted access for universities, professors, and graduate researchers. Pricing on request — contact sales.",
          "url": "https://algoseek.com/academic",
          "eligibleCustomerType": "https://schema.org/EducationalOrganization",
          "availability": "https://schema.org/InStock",
          "businessFunction": "https://schema.org/ProvideService",
          "seller": { "@id": "https://algoseek.com/#organization" },
          "priceSpecification": {
            "@type": "PriceSpecification",
            "priceCurrency": "USD",
            "valueAddedTaxIncluded": false,
            "description": "Pricing on request — contact sales for academic discount quote."
          },
          "potentialAction": {
            "@type": "ContactAction",
            "target": "https://algoseek.com/contact-us?inquiry=academic"
          }
        },
        {
          "@type": "Offer",
          "name": "Professional License",
          "description": "Per-dataset licensing for individual quants, prop traders, and small funds. Pricing on request — contact sales.",
          "url": "https://algoseek.com/contact-us",
          "eligibleCustomerType": "https://schema.org/Business",
          "availability": "https://schema.org/InStock",
          "businessFunction": "https://schema.org/ProvideService",
          "seller": { "@id": "https://algoseek.com/#organization" },
          "priceSpecification": {
            "@type": "PriceSpecification",
            "priceCurrency": "USD",
            "valueAddedTaxIncluded": false,
            "description": "Per-dataset licensing — pricing varies by dataset selection. Contact sales for quote."
          },
          "potentialAction": {
            "@type": "ContactAction",
            "target": "https://algoseek.com/contact-us?inquiry=professional"
          }
        },
        {
          "@type": "Offer",
          "name": "Enterprise License",
          "description": "Full catalog access for hedge funds, banks, market makers, and research institutions. Custom pricing — contact sales.",
          "url": "https://algoseek.com/contact-us",
          "eligibleCustomerType": "https://schema.org/Business",
          "availability": "https://schema.org/InStock",
          "businessFunction": "https://schema.org/ProvideService",
          "seller": { "@id": "https://algoseek.com/#organization" },
          "priceSpecification": {
            "@type": "PriceSpecification",
            "priceCurrency": "USD",
            "valueAddedTaxIncluded": false,
            "description": "Custom enterprise pricing — contact sales for quote based on dataset selection, user count, and delivery requirements."
          },
          "potentialAction": {
            "@type": "ContactAction",
            "target": "https://algoseek.com/contact-us?inquiry=enterprise"
          }
        }
      ]
    }
  ]
}
</script>

TEMPLATE (variables)

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@graph": [
    { "@type": "Organization", "@id": "{{BASE_URL}}/#organization", "name": "{{ORG_NAME}}", "url": "{{BASE_URL}}", "logo": "{{ORG_LOGO_URL}}" },
    {
      "@type": "WebPage",
      "@id": "{{PAGE_URL}}#page",
      "url": "{{PAGE_URL}}",
      "name": "{{PAGE_TITLE}}",
      "description": "{{PAGE_DESCRIPTION}}",
      "inLanguage": "{{LANG}}"
    },
    {
      "@type": "BreadcrumbList",
      "itemListElement": [
        { "@type": "ListItem", "position": 1, "name": "Home", "item": "{{BASE_URL}}" },
        { "@type": "ListItem", "position": 2, "name": "{{PAGE_TITLE}}", "item": "{{PAGE_URL}}" }
      ]
    },
    {
      "@type": "OfferCatalog",
      "@id": "{{PAGE_URL}}#catalog",
      "name": "{{CATALOG_NAME}}",
      "itemListElement": [
        {{#each PRICING_TIERS as tier}}
        {
          "@type": "Offer",
          "name": "{{tier.name}}",
          "description": "{{tier.description}}",
          "url": "{{tier.cta_url}}",
          "eligibleCustomerType": "{{tier.eligible_type_url}}",
          "availability": "https://schema.org/InStock",
          "businessFunction": "https://schema.org/ProvideService",
          "seller": { "@id": "{{BASE_URL}}/#organization" },
          "priceSpecification": {
            "@type": "PriceSpecification",
            "priceCurrency": "USD",
            "valueAddedTaxIncluded": false,
            "description": "{{tier.price_description}}"
          },
          "potentialAction": {
            "@type": "ContactAction",
            "target": "{{tier.contact_url}}"
          }
        }{{#unless @last}},{{/unless}}
        {{/each}}
      ]
    }
  ]
}
</script>

Variables

Variable	Source	Type	Example
`{{PRICING_TIERS}}`	Directus `pricing_tiers` collection	array	iterates 3-5 plans
`{{tier.name}}`	pricing_tiers.name	string	`"Academic License"`
`{{tier.description}}`	pricing_tiers.description	string	`"Discounted access for universities..."`
`{{tier.cta_url}}`	pricing_tiers.cta_url	string	`/academic` or `/contact-us`
`{{tier.eligible_type_url}}`	pricing_tiers.eligible_type	schema.org URL	`"https://schema.org/EducationalOrganization"`
`{{tier.price_description}}`	pricing_tiers.price_description	string	`"Pricing on request — contact sales"`
`{{tier.contact_url}}`	pricing_tiers.contact_url	string	`/contact-us?inquiry=academic`

11b. UTILITY (sample-data) — `/sample-data`

TEST (real data)

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "Organization",
      "@id": "https://algoseek.com/#organization",
      "name": "Algoseek",
      "url": "https://algoseek.com",
      "logo": "https://algoseek.com/assets/design-system/logo.png"
    },
    {
      "@type": "WebPage",
      "@id": "https://algoseek.com/sample-data#page",
      "url": "https://algoseek.com/sample-data",
      "name": "Free Market Data Samples",
      "description": "Download free sample data files for AlgoSeek datasets — TAQ, minute bars, options Greeks, and more.",
      "inLanguage": "en-US"
    },
    {
      "@type": "BreadcrumbList",
      "itemListElement": [
        { "@type": "ListItem", "position": 1, "name": "Home", "item": "https://algoseek.com" },
        { "@type": "ListItem", "position": 2, "name": "Sample Data", "item": "https://algoseek.com/sample-data" }
      ]
    },
    {
      "@type": "ItemList",
      "name": "Free Sample Files",
      "itemListElement": [
        {
          "@type": "DataDownload",
          "name": "Equity TAQ Sample (1 Trading Day)",
          "encodingFormat": "text/csv",
          "contentUrl": "https://algoseek.com/sample-data/eq_taq_sample.csv.gz",
          "isAccessibleForFree": true,
          "license": "https://algoseek.com/legal/terms-of-use"
        },
        {
          "@type": "DataDownload",
          "name": "Options Greeks Sample (1 Day)",
          "encodingFormat": "text/csv",
          "contentUrl": "https://algoseek.com/sample-data/opt_greeks_sample.csv.gz",
          "isAccessibleForFree": true,
          "license": "https://algoseek.com/legal/terms-of-use"
        },
        {
          "@type": "DataDownload",
          "name": "Futures Trades Sample",
          "encodingFormat": "application/parquet",
          "contentUrl": "https://algoseek.com/sample-data/fut_trades_sample.parquet",
          "isAccessibleForFree": true,
          "license": "https://algoseek.com/legal/terms-of-use"
        }
      ]
    }
  ]
}
</script>

TEMPLATE (variables)

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@graph": [
    { "@type": "Organization", "@id": "{{BASE_URL}}/#organization", "name": "{{ORG_NAME}}", "url": "{{BASE_URL}}", "logo": "{{ORG_LOGO_URL}}" },
    {
      "@type": "WebPage",
      "@id": "{{PAGE_URL}}#page",
      "url": "{{PAGE_URL}}",
      "name": "{{PAGE_TITLE}}",
      "description": "{{PAGE_DESCRIPTION}}",
      "inLanguage": "{{LANG}}"
    },
    {
      "@type": "BreadcrumbList",
      "itemListElement": [
        { "@type": "ListItem", "position": 1, "name": "Home", "item": "{{BASE_URL}}" },
        { "@type": "ListItem", "position": 2, "name": "{{PAGE_TITLE}}", "item": "{{PAGE_URL}}" }
      ]
    },
    {
      "@type": "ItemList",
      "name": "Free Sample Files",
      "itemListElement": [
        {{#each SAMPLE_FILES as sample}}
        {
          "@type": "DataDownload",
          "name": "{{sample.name}}",
          "encodingFormat": "{{sample.mime_type}}",
          "contentUrl": "{{sample.url}}",
          "isAccessibleForFree": true,
          "license": "{{BASE_URL}}/legal/terms-of-use"
        }{{#unless @last}},{{/unless}}
        {{/each}}
      ]
    }
  ]
}
</script>

Variables

Variable	Source	Type	Example
`{{SAMPLE_FILES}}`	Datasets API: `is_sample_available=true` filter	array	`[{name, mime_type, url}]`

12. DOCUMENTATION — `/api-docs` (v2: WebAPI type added)

ℹ️ Pending a decision on /docs. The new WP site has no documentation section; the fate of /docs is under discussion. Do not implement this template until it is decided.

TEST (real data)

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@graph": [
    {
      "@type": "Organization",
      "@id": "https://algoseek.com/#organization",
      "name": "Algoseek",
      "url": "https://algoseek.com",
      "logo": "https://algoseek.com/assets/design-system/logo.png"
    },
    {
      "@type": "WebPage",
      "@id": "https://algoseek.com/api-docs#page",
      "url": "https://algoseek.com/api-docs",
      "name": "AlgoSeek API Documentation",
      "inLanguage": "en-US",
      "mainEntity": { "@id": "https://algoseek.com/api-docs#api" }
    },
    {
      "@type": "BreadcrumbList",
      "itemListElement": [
        { "@type": "ListItem", "position": 1, "name": "Home", "item": "https://algoseek.com" },
        { "@type": "ListItem", "position": 2, "name": "API Docs", "item": "https://algoseek.com/api-docs" }
      ]
    },
    {
      "@type": "WebAPI",
      "@id": "https://algoseek.com/api-docs#api",
      "name": "AlgoSeek Market Data REST API",
      "description": "Programmatic access to AlgoSeek's full market data catalog — TAQ, minute bars, depth-of-book, security master, corporate actions across US Equities, Options, Futures, Forex, and Crypto.",
      "url": "https://algoseek.com/api-docs",
      "documentation": "https://algoseek.com/api-docs",
      "termsOfService": "https://algoseek.com/legal/terms-of-use",
      "provider": { "@id": "https://algoseek.com/#organization" }
    },
    {
      "@type": "TechArticle",
      "@id": "https://algoseek.com/api-docs#article",
      "headline": "AlgoSeek REST API Documentation",
      "description": "Complete reference for the AlgoSeek Market Data REST API — authentication, dataset endpoints, query parameters, response formats, rate limits, SDK usage.",
      "url": "https://algoseek.com/api-docs",
      "datePublished": "2026-05-01",
      "dateModified": "2026-05-15",
      "author": { "@id": "https://algoseek.com/#organization" },
      "publisher": { "@id": "https://algoseek.com/#organization" },
      "image": "https://algoseek.com/api-docs/hero.jpg",
      "mainEntityOfPage": "https://algoseek.com/api-docs",
      "proficiencyLevel": "Expert",
      "dependencies": "Python 3.9+, requests library OR algoseek-connector SDK",
      "about": { "@id": "https://algoseek.com/api-docs#api" }
    },
    {
      "@type": "HowTo",
      "name": "Quickstart — Authenticate and Fetch Your First Dataset",
      "description": "5-minute quickstart for connecting to AlgoSeek API and downloading sample TAQ data.",
      "totalTime": "PT5M",
      "tool": [
        { "@type": "HowToTool", "name": "Python 3.9 or later" },
        { "@type": "HowToTool", "name": "AlgoSeek API key" }
      ],
      "step": [
        { "@type": "HowToStep", "position": 1, "name": "Install SDK", "text": "Run: pip install algoseek-connector" },
        { "@type": "HowToStep", "position": 2, "name": "Authenticate", "text": "Set ALGOSEEK_API_KEY environment variable with your API key from the dashboard." },
        { "@type": "HowToStep", "position": 3, "name": "Fetch Dataset", "text": "Use algoseek_connector.fetch('eq_taq', symbols=['AAPL'], start='2024-01-02', end='2024-01-02') to download a sample." }
      ]
    }
  ]
}
</script>

TEMPLATE (variables)

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@graph": [
    { "@type": "Organization", "@id": "{{BASE_URL}}/#organization", "name": "{{ORG_NAME}}", "url": "{{BASE_URL}}", "logo": "{{ORG_LOGO_URL}}" },
    {
      "@type": "WebPage",
      "@id": "{{PAGE_URL}}#page",
      "url": "{{PAGE_URL}}",
      "name": "{{PAGE_TITLE}}",
      "inLanguage": "{{LANG}}",
      "mainEntity": { "@id": "{{PAGE_URL}}#api" }
    },
    {
      "@type": "BreadcrumbList",
      "itemListElement": [
        { "@type": "ListItem", "position": 1, "name": "Home", "item": "{{BASE_URL}}" },
        { "@type": "ListItem", "position": 2, "name": "{{PAGE_TITLE}}", "item": "{{PAGE_URL}}" }
      ]
    },
    {
      "@type": "WebAPI",
      "@id": "{{PAGE_URL}}#api",
      "name": "{{API_NAME}}",
      "description": "{{API_DESCRIPTION}}",
      "url": "{{PAGE_URL}}",
      "documentation": "{{PAGE_URL}}",
      "termsOfService": "{{BASE_URL}}/legal/terms-of-use",
      "provider": { "@id": "{{BASE_URL}}/#organization" }
    },
    {
      "@type": "TechArticle",
      "@id": "{{PAGE_URL}}#article",
      "headline": "{{ARTICLE_HEADLINE}}",
      "description": "{{ARTICLE_DESCRIPTION}}",
      "url": "{{PAGE_URL}}",
      "datePublished": "{{ARTICLE_PUBLISHED}}",
      "dateModified": "{{ARTICLE_MODIFIED}}",
      "author": { "@id": "{{BASE_URL}}/#organization" },
      "publisher": { "@id": "{{BASE_URL}}/#organization" },
      "image": "{{ARTICLE_HERO_IMAGE}}",
      "mainEntityOfPage": "{{PAGE_URL}}",
      "proficiencyLevel": "{{ARTICLE_PROFICIENCY}}",
      "dependencies": "{{ARTICLE_DEPENDENCIES}}",
      "about": { "@id": "{{PAGE_URL}}#api" }
    },
    {{#if QUICKSTART_STEPS}}
    {
      "@type": "HowTo",
      "name": "{{HOWTO_NAME}}",
      "description": "{{HOWTO_DESCRIPTION}}",
      "totalTime": "{{HOWTO_TOTAL_TIME}}",
      "tool": [
        {{#each HOWTO_TOOLS as tool}}
        { "@type": "HowToTool", "name": "{{tool}}" }{{#unless @last}},{{/unless}}
        {{/each}}
      ],
      "step": [
        {{#each QUICKSTART_STEPS as step, idx}}
        { "@type": "HowToStep", "position": {{idx+1}}, "name": "{{step.name}}", "text": "{{step.text}}" }{{#unless @last}},{{/unless}}
        {{/each}}
      ]
    }
    {{/if}}
  ]
}
</script>

Variables

Variable	Source	Type	Example
`{{API_NAME}}`	hardcoded	string	`"AlgoSeek Market Data REST API"`
`{{API_DESCRIPTION}}`	Directus pages.api_description	string	from CMS
`{{ARTICLE_PROFICIENCY}}`	Directus pages.proficiency	string	`"Beginner"` / `"Intermediate"` / `"Expert"`
`{{ARTICLE_DEPENDENCIES}}`	Directus pages.dependencies	string	`"Python 3.9+, requests library"`
`{{QUICKSTART_STEPS}}`	Directus `quickstart_steps` collection	array	`[{name, text}]`
`{{HOWTO_TOOLS}}`	Directus pages.required_tools	string[]	`["Python 3.9+", "API key"]`
`{{HOWTO_TOTAL_TIME}}`	hardcoded ISO 8601 duration	string	`"PT5M"` (5 minutes)