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Aug 6, 2026

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{
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{
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{
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summary 0 params Global stats for the Boolsai directory: how many sites are indexed, signal types covered, top vendors, most-ch…

Global stats for the Boolsai directory: how many sites are indexed, signal types covered, top vendors, most-changed companies. Use at the start of a session to ground what's available.

Input schema

No parameters.

Raw schema JSON

summary — raw

{
  "name": "summary",
  "description": "Global stats for the Boolsai directory: how many sites are indexed, signal types covered, top vendors, most-changed companies. Use at the start of a session to ground what&#39;s available.",
  "inputSchema": {
    "type": "object",
    "properties": {}
  }
}

site_dossier 1 param · 1 required Full intel dossier for a single domain: detected vendors grouped by category, account IDs (GTM, GA4, Klaviyo c…

Full intel dossier for a single domain: detected vendors grouped by category, account IDs (GTM, GA4, Klaviyo company_id, Shopify shop_id, Meta pixel, Sentry org, Tealium tenant, Stripe pk_live, etc.), brand identity (name, founder, city, employees, social handles), international markets, external host list, and likely operator-cluster siblings. Use for any 'what's running on X.com?' query.

Input schema

Parameter	Type	Description & constraints
url*	string	Domain or URL, e.g. 'gymshark.com' or 'https://gymshark.com/'

Raw schema JSON

site_dossier — raw

{
  "name": "site_dossier",
  "description": "Full intel dossier for a single domain: detected vendors grouped by category, account IDs (GTM, GA4, Klaviyo company_id, Shopify shop_id, Meta pixel, Sentry org, Tealium tenant, Stripe pk_live, etc.), brand identity (name, founder, city, employees, social handles), international markets, external host list, and likely operator-cluster siblings. Use for any &#39;what&#39;s running on X.com?&#39; query.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "url": {
        "type": "string",
        "description": "Domain or URL, e.g. &#39;gymshark.com&#39; or &#39;https://gymshark.com/&#39;"
      }
    },
    "required": [
      "url"
    ]
  }
}

sites_using_vendor 1 param · 1 required List indexed sites detected using a specific vendor (e.g. 'klaviyo', 'yotpo', 'elevar', 'gorgias', 'rebuy'). V…

List indexed sites detected using a specific vendor (e.g. 'klaviyo', 'yotpo', 'elevar', 'gorgias', 'rebuy'). Vendor slug is lowercase, underscore-separated. Returns domain list with brand names where known.

Input schema

Parameter	Type	Description & constraints
vendor*	string	Vendor slug, e.g. 'klaviyo', 'shopify', 'webflow', 'onetrust'.

Raw schema JSON

sites_using_vendor — raw

{
  "name": "sites_using_vendor",
  "description": "List indexed sites detected using a specific vendor (e.g. &#39;klaviyo&#39;, &#39;yotpo&#39;, &#39;elevar&#39;, &#39;gorgias&#39;, &#39;rebuy&#39;). Vendor slug is lowercase, underscore-separated. Returns domain list with brand names where known.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "vendor": {
        "type": "string",
        "description": "Vendor slug, e.g. &#39;klaviyo&#39;, &#39;shopify&#39;, &#39;webflow&#39;, &#39;onetrust&#39;."
      }
    },
    "required": [
      "vendor"
    ]
  }
}

lookup_id 2 params · 2 required Cross-reference any tenant-unique account ID across the index. Useful for 'who else shares this GTM container …

Cross-reference any tenant-unique account ID across the index. Useful for 'who else shares this GTM container / Klaviyo company / Sentry org / Meta pixel ID?'. Signal types: gtm_container, ga4_measurement, ga_ua, klaviyo_company_id, meta_pixel_id, shopify_shopid, myshopify_slug, hotjar_id, intercom_app_id, hubspot_portal, klaviyo_subscriber, tiktok_pixel, stripe_pk_live, sentry_dsn_org, tealium_tenant, optimizely_project, mparticle_workspace, segment_writekey, abtasty_account, fullstory_org, pendo_account, intellimize_acct, webflow_site_id, dynamic_yield, wunderkind_site, elevar_id.

Input schema

Parameter	Type	Description & constraints
signal_type*	string	e.g. 'gtm_container', 'klaviyo_company_id', 'sentry_dsn_org'
signal_value*	string	the actual ID/value, e.g. 'GTM-XYZABC', 'H2zzaR'

Raw schema JSON

lookup_id — raw

{
  "name": "lookup_id",
  "description": "Cross-reference any tenant-unique account ID across the index. Useful for &#39;who else shares this GTM container / Klaviyo company / Sentry org / Meta pixel ID?&#39;. Signal types: gtm_container, ga4_measurement, ga_ua, klaviyo_company_id, meta_pixel_id, shopify_shopid, myshopify_slug, hotjar_id, intercom_app_id, hubspot_portal, klaviyo_subscriber, tiktok_pixel, stripe_pk_live, sentry_dsn_org, tealium_tenant, optimizely_project, mparticle_workspace, segment_writekey, abtasty_account, fullstory_org, pendo_account, intellimize_acct, webflow_site_id, dynamic_yield, wunderkind_site, elevar_id.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "signal_type": {
        "type": "string",
        "description": "e.g. &#39;gtm_container&#39;, &#39;klaviyo_company_id&#39;, &#39;sentry_dsn_org&#39;"
      },
      "signal_value": {
        "type": "string",
        "description": "the actual ID/value, e.g. &#39;GTM-XYZABC&#39;, &#39;H2zzaR&#39;"
      }
    },
    "required": [
      "signal_type",
      "signal_value"
    ]
  }
}

brands_in_city 1 param · 1 required List indexed brands that publish a physical address in a given city. Sourced from Schema.org Organization JSON…

List indexed brands that publish a physical address in a given city. Sourced from Schema.org Organization JSON-LD.

Input schema

Parameter	Type	Description & constraints
city*	string	City name, e.g. 'Los Angeles', 'New York', 'Berlin'

Raw schema JSON

brands_in_city — raw

{
  "name": "brands_in_city",
  "description": "List indexed brands that publish a physical address in a given city. Sourced from Schema.org Organization JSON-LD.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "city": {
        "type": "string",
        "description": "City name, e.g. &#39;Los Angeles&#39;, &#39;New York&#39;, &#39;Berlin&#39;"
      }
    },
    "required": [
      "city"
    ]
  }
}

brands_in_market 1 param · 1 required List indexed brands explicitly serving a country market (via hreflang). Country is a 2-letter ISO code, lowerc…

List indexed brands explicitly serving a country market (via hreflang). Country is a 2-letter ISO code, lowercase.

Input schema

Parameter	Type	Description & constraints
country*	string	2-letter country code, e.g. 'us', 'gb', 'de', 'fr'

Raw schema JSON

brands_in_market — raw

{
  "name": "brands_in_market",
  "description": "List indexed brands explicitly serving a country market (via hreflang). Country is a 2-letter ISO code, lowercase.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "country": {
        "type": "string",
        "description": "2-letter country code, e.g. &#39;us&#39;, &#39;gb&#39;, &#39;de&#39;, &#39;fr&#39;"
      }
    },
    "required": [
      "country"
    ]
  }
}

stack_archetype 1 param · 1 required List brands matching a stack archetype. Valid slugs: headless-shopify, classic-shopify-dtc, server-side-tagged…

List brands matching a stack archetype. Valid slugs: headless-shopify, classic-shopify-dtc, server-side-tagged, personalisation-heavy, pixel-stacked, multi-region, woocommerce-stores, magento-stores, bnpl-enabled, headless-cms.

Input schema

Parameter	Type	Description & constraints
archetype*	string	Archetype slug

Raw schema JSON

stack_archetype — raw

{
  "name": "stack_archetype",
  "description": "List brands matching a stack archetype. Valid slugs: headless-shopify, classic-shopify-dtc, server-side-tagged, personalisation-heavy, pixel-stacked, multi-region, woocommerce-stores, magento-stores, bnpl-enabled, headless-cms.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "archetype": {
        "type": "string",
        "description": "Archetype slug"
      }
    },
    "required": [
      "archetype"
    ]
  }
}

compare_sites 1 param · 1 required Side-by-side stack comparison of 2-5 domains. Returns each site's vendors, account IDs, brand info, markets — …

Side-by-side stack comparison of 2-5 domains. Returns each site's vendors, account IDs, brand info, markets — and which signals are shared / unique per site. Good for 'compare X.com vs Y.com' or competitive teardowns.

Input schema

Parameter	Type	Description & constraints
urls*	array<string>	2-5 domain/URL strings

Raw schema JSON

compare_sites — raw

{
  "name": "compare_sites",
  "description": "Side-by-side stack comparison of 2-5 domains. Returns each site&#39;s vendors, account IDs, brand info, markets — and which signals are shared / unique per site. Good for &#39;compare X.com vs Y.com&#39; or competitive teardowns.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "urls": {
        "type": "array",
        "items": {
          "type": "string"
        },
        "description": "2-5 domain/URL strings"
      }
    },
    "required": [
      "urls"
    ]
  }
}

similar_sites 1 param · 1 required Find brands with similar stack archetypes to the given domain. Returns 'sites running similar tech' — useful f…

Find brands with similar stack archetypes to the given domain. Returns 'sites running similar tech' — useful for benchmarking, prospecting, competitor lookups.

Input schema

Parameter	Type	Description & constraints
url*	string	Domain to find similar sites for

Raw schema JSON

similar_sites — raw

{
  "name": "similar_sites",
  "description": "Find brands with similar stack archetypes to the given domain. Returns &#39;sites running similar tech&#39; — useful for benchmarking, prospecting, competitor lookups.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "url": {
        "type": "string",
        "description": "Domain to find similar sites for"
      }
    },
    "required": [
      "url"
    ]
  }
}

brands_by_founder 1 param · 1 required List brands attributed to a founder (from Schema.org Organization markup). Useful for tracking serial DTC foun…

List brands attributed to a founder (from Schema.org Organization markup). Useful for tracking serial DTC founders.

Input schema

Parameter	Type	Description & constraints
founder*	string	Founder name (case-insensitive)

Raw schema JSON

brands_by_founder — raw

{
  "name": "brands_by_founder",
  "description": "List brands attributed to a founder (from Schema.org Organization markup). Useful for tracking serial DTC founders.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "founder": {
        "type": "string",
        "description": "Founder name (case-insensitive)"
      }
    },
    "required": [
      "founder"
    ]
  }
}

bulk_export 6 params · 1 required Paginated bulk export of indexed sites matching a filter. Returns up to 1000 rows per page in CSV or JSONL for…

Paginated bulk export of indexed sites matching a filter. Returns up to 1000 rows per page in CSV or JSONL format with a cursor for continued pages. Use this when an agency needs an outbound prospect list (e.g. all sites using Klaviyo in the US) for CRM import. The full row count is also returned so you can size the export.

Input schema

Parameter	Type	Description & constraints
signal_type*	string	Required. e.g. 'vendor', 'klaviyo_company_id', 'shopify_shopid', 'market_country', 'org_country'. Use list_signal_types via Boolsai Grep to discover.
signal_value	string	Optional exact value to filter. If omitted returns ANY value of this signal_type.
market_country	string	Optional ISO-2 country code (e.g. 'us', 'au') to intersect with hreflang market data
format	enum(3)	Output format. CSV is best for CRM import. one of: "csv", "jsonl", "json" · default: "csv"
cursor	string	Opaque cursor from previous page; pass to get next 1000 rows
limit	integer	Max rows per page (default 1000, max 5000) default: 1000

Raw schema JSON

bulk_export — raw

{
  "name": "bulk_export",
  "description": "Paginated bulk export of indexed sites matching a filter. Returns up to 1000 rows per page in CSV or JSONL format with a cursor for continued pages. Use this when an agency needs an outbound prospect list (e.g. all sites using Klaviyo in the US) for CRM import. The full row count is also returned so you can size the export.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "signal_type": {
        "type": "string",
        "description": "Required. e.g. &#39;vendor&#39;, &#39;klaviyo_company_id&#39;, &#39;shopify_shopid&#39;, &#39;market_country&#39;, &#39;org_country&#39;. Use list_signal_types via Boolsai Grep to discover."
      },
      "signal_value": {
        "type": "string",
        "description": "Optional exact value to filter. If omitted returns ANY value of this signal_type."
      },
      "market_country": {
        "type": "string",
        "description": "Optional ISO-2 country code (e.g. &#39;us&#39;, &#39;au&#39;) to intersect with hreflang market data"
      },
      "format": {
        "type": "string",
        "enum": [
          "csv",
          "jsonl",
          "json"
        ],
        "default": "csv",
        "description": "Output format. CSV is best for CRM import."
      },
      "cursor": {
        "type": "string",
        "description": "Opaque cursor from previous page; pass to get next 1000 rows"
      },
      "limit": {
        "type": "integer",
        "default": 1000,
        "description": "Max rows per page (default 1000, max 5000)"
      }
    },
    "required": [
      "signal_type"
    ]
  }
}

compare_scans 3 params · 1 required Compare two historical scans of the same URL to surface stack changes. Returns added/removed/changed vendors, …

Compare two historical scans of the same URL to surface stack changes. Returns added/removed/changed vendors, account IDs, and inline-script signals between scan A and scan B. Use this for competitor watch — 'what did patagonia.com just deploy?'. If t1/t2 are omitted, compares oldest vs newest available scan.

Input schema

Parameter	Type	Description & constraints
url*	string	Domain or full URL to compare
t1	string	Optional ISO timestamp of first scan (oldest if omitted)
t2	string	Optional ISO timestamp of second scan (newest if omitted)

Raw schema JSON

compare_scans — raw

{
  "name": "compare_scans",
  "description": "Compare two historical scans of the same URL to surface stack changes. Returns added/removed/changed vendors, account IDs, and inline-script signals between scan A and scan B. Use this for competitor watch — &#39;what did patagonia.com just deploy?&#39;. If t1/t2 are omitted, compares oldest vs newest available scan.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "url": {
        "type": "string",
        "description": "Domain or full URL to compare"
      },
      "t1": {
        "type": "string",
        "description": "Optional ISO timestamp of first scan (oldest if omitted)"
      },
      "t2": {
        "type": "string",
        "description": "Optional ISO timestamp of second scan (newest if omitted)"
      }
    },
    "required": [
      "url"
    ]
  }
}

domain_intel 1 param · 1 required Free DNS/WHOIS enrichment for a single domain. Returns: email host (Google Workspace / Microsoft 365 / etc. — …

Free DNS/WHOIS enrichment for a single domain. Returns: email host (Google Workspace / Microsoft 365 / etc. — derived from MX records), DNS provider (Cloudflare / Route 53 / GoDaddy / etc.), CDN provider, registrar, domain age (registered/expires). High-signal outbound data — 'they use Google Workspace + Cloudflare DNS + registered with GoDaddy' tells you a lot about org size + sophistication. Results cached 24h. Free — uses Cloudflare DoH + public RDAP.

Input schema

Parameter	Type	Description & constraints
domain*	string	Domain to enrich (apex or any subdomain)

Raw schema JSON

domain_intel — raw

{
  "name": "domain_intel",
  "description": "Free DNS/WHOIS enrichment for a single domain. Returns: email host (Google Workspace / Microsoft 365 / etc. — derived from MX records), DNS provider (Cloudflare / Route 53 / GoDaddy / etc.), CDN provider, registrar, domain age (registered/expires). High-signal outbound data — &#39;they use Google Workspace + Cloudflare DNS + registered with GoDaddy&#39; tells you a lot about org size + sophistication. Results cached 24h. Free — uses Cloudflare DoH + public RDAP.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "domain": {
        "type": "string",
        "description": "Domain to enrich (apex or any subdomain)"
      }
    },
    "required": [
      "domain"
    ]
  }
}

find_similar_by_stack 3 params · 1 required Find sites with the most-similar vendor stack to a given domain using Jaccard similarity over the full vendor …

Find sites with the most-similar vendor stack to a given domain using Jaccard similarity over the full vendor set (not just archetype labels). Returns the top N matches with similarity scores. Use this when stack_archetype labels are too coarse and you want 'show me 20 brands running an almost-identical stack to liquiddeath.com'. More accurate than similar_sites for niche stacks.

Input schema

Parameter	Type	Description & constraints
domain*	string	Reference domain
limit	integer	max similar sites (1-100) default: 20
min_shared	integer	Minimum shared distinctive vendors required to be considered (default 3) default: 3

Raw schema JSON

find_similar_by_stack — raw

{
  "name": "find_similar_by_stack",
  "description": "Find sites with the most-similar vendor stack to a given domain using Jaccard similarity over the full vendor set (not just archetype labels). Returns the top N matches with similarity scores. Use this when stack_archetype labels are too coarse and you want &#39;show me 20 brands running an almost-identical stack to liquiddeath.com&#39;. More accurate than similar_sites for niche stacks.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "domain": {
        "type": "string",
        "description": "Reference domain"
      },
      "limit": {
        "type": "integer",
        "default": 20,
        "description": "max similar sites (1-100)"
      },
      "min_shared": {
        "type": "integer",
        "default": 3,
        "description": "Minimum shared distinctive vendors required to be considered (default 3)"
      }
    },
    "required": [
      "domain"
    ]
  }
}

bulk_export_url 4 params · 1 required Returns a streaming-export URL for the same filter as bulk_export. Useful when the agency wants to pull 50K ro…

Returns a streaming-export URL for the same filter as bulk_export. Useful when the agency wants to pull 50K rows in one shot via curl/HTTP pipe instead of paginating the MCP. The URL is public, no auth, returns NDJSON or CSV with HTTP chunked-transfer streaming. Use bulk_export when N<1000; use this for bigger exports.

Input schema

Parameter	Type	Description & constraints
signal_type*	string	Required signal_type
signal_value	string	Optional exact value
market_country	string	Optional ISO-2 country
format	enum(2)	— one of: "ndjson", "csv" · default: "ndjson"

Raw schema JSON

bulk_export_url — raw

{
  "name": "bulk_export_url",
  "description": "Returns a streaming-export URL for the same filter as bulk_export. Useful when the agency wants to pull 50K rows in one shot via curl/HTTP pipe instead of paginating the MCP. The URL is public, no auth, returns NDJSON or CSV with HTTP chunked-transfer streaming. Use bulk_export when N<1000; use this for bigger exports.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "signal_type": {
        "type": "string",
        "description": "Required signal_type"
      },
      "signal_value": {
        "type": "string",
        "description": "Optional exact value"
      },
      "market_country": {
        "type": "string",
        "description": "Optional ISO-2 country"
      },
      "format": {
        "type": "string",
        "enum": [
          "ndjson",
          "csv"
        ],
        "default": "ndjson"
      }
    },
    "required": [
      "signal_type"
    ]
  }
}

operator_cluster 4 params Find every domain sharing a tenant-unique ID — the most powerful single signal in Boolsai. Given a Stripe pk_l…

Find every domain sharing a tenant-unique ID — the most powerful single signal in Boolsai. Given a Stripe pk_live key, Sentry DSN org, Klaviyo company_id, mParticle workspace, GTM container, GA4 measurement, Shopify shop_id, or other tenant ID, returns every domain we've seen using the SAME ID. This surfaces multi-brand operators, holding-company portfolios, sister brands sharing infrastructure, agency-managed clusters. No competitor (BuiltWith, Wappalyzer, etc.) can do this — they only see external hostnames, not the tenant-unique IDs leaked client-side. Use this when you want to discover the actual operator behind a brand, or expand a single brand into its full portfolio.

Input schema

Parameter	Type	Description & constraints
id	string	The tenant ID itself (e.g. 'pk_live_abc...', 'GTM-M8TQZPX', 'o307020' for Sentry, '12345678' for Shopify shop_id). signal_type is auto-detected.
signal_type	string	Optional explicit signal_type if auto-detect could be ambiguous (e.g. 'stripe_pk_live', 'sentry_dsn_org').
domain	string	Alternative: pass a domain and we'll return every cluster this domain belongs to (all tenant IDs and their fellow domains).
limit	integer	max sites per cluster (1-500) default: 100

Raw schema JSON

operator_cluster — raw

{
  "name": "operator_cluster",
  "description": "Find every domain sharing a tenant-unique ID — the most powerful single signal in Boolsai. Given a Stripe pk_live key, Sentry DSN org, Klaviyo company_id, mParticle workspace, GTM container, GA4 measurement, Shopify shop_id, or other tenant ID, returns every domain we&#39;ve seen using the SAME ID. This surfaces multi-brand operators, holding-company portfolios, sister brands sharing infrastructure, agency-managed clusters. No competitor (BuiltWith, Wappalyzer, etc.) can do this — they only see external hostnames, not the tenant-unique IDs leaked client-side. Use this when you want to discover the actual operator behind a brand, or expand a single brand into its full portfolio.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "id": {
        "type": "string",
        "description": "The tenant ID itself (e.g. &#39;pk_live_abc...&#39;, &#39;GTM-M8TQZPX&#39;, &#39;o307020&#39; for Sentry, &#39;12345678&#39; for Shopify shop_id). signal_type is auto-detected."
      },
      "signal_type": {
        "type": "string",
        "description": "Optional explicit signal_type if auto-detect could be ambiguous (e.g. &#39;stripe_pk_live&#39;, &#39;sentry_dsn_org&#39;)."
      },
      "domain": {
        "type": "string",
        "description": "Alternative: pass a domain and we&#39;ll return every cluster this domain belongs to (all tenant IDs and their fellow domains)."
      },
      "limit": {
        "type": "integer",
        "default": 100,
        "description": "max sites per cluster (1-500)"
      }
    }
  }
}

subdomain_map 2 params · 1 required Every subdomain of a given root domain we've ever scanned. Reveals storefront topology — where the checkout ac…

Every subdomain of a given root domain we've ever scanned. Reveals storefront topology — where the checkout actually lives, regional storefronts, B2B portals, internal admin domains, asset CDNs. Output groups subdomains by their primary vendor where known. Use this to (a) find the right path to scan for an audit (sometimes the checkout is on us.checkout.brand.com not brand.com), (b) spot enterprise topology (multi-region Plus stores), (c) discover sister surfaces (community, ambassador, careers, etc).

Input schema

Parameter	Type	Description & constraints
root*	string	Root domain (e.g. 'gymshark.com'). Pass just the apex; we'll find subdomains automatically.
limit	integer	max subdomains returned (1-1000) default: 200

Raw schema JSON

subdomain_map — raw

{
  "name": "subdomain_map",
  "description": "Every subdomain of a given root domain we&#39;ve ever scanned. Reveals storefront topology — where the checkout actually lives, regional storefronts, B2B portals, internal admin domains, asset CDNs. Output groups subdomains by their primary vendor where known. Use this to (a) find the right path to scan for an audit (sometimes the checkout is on us.checkout.brand.com not brand.com), (b) spot enterprise topology (multi-region Plus stores), (c) discover sister surfaces (community, ambassador, careers, etc).",
  "inputSchema": {
    "type": "object",
    "properties": {
      "root": {
        "type": "string",
        "description": "Root domain (e.g. &#39;gymshark.com&#39;). Pass just the apex; we&#39;ll find subdomains automatically."
      },
      "limit": {
        "type": "integer",
        "default": 200,
        "description": "max subdomains returned (1-1000)"
      }
    },
    "required": [
      "root"
    ]
  }
}

prospect_brief 2 params · 1 required ONE-CALL PROSPECT BRIEF for agency outbound — runs four sub-queries against the live indexed data: (1) full do…

ONE-CALL PROSPECT BRIEF for agency outbound — runs four sub-queries against the live indexed data: (1) full dossier of the prospect's stack, (2) sister brands sharing tenant IDs (operator cluster), (3) 3-5 similar-stack competitors, (4) structured 'pitch angles' calling out concrete gaps an agency could pitch on (missing consent, no SST, outdated vendors, broken Schema.org, multiple GTM installs). Saves a strategist 20 min of manual cross-referencing per prospect. Use this whenever the user asks 'tell me about prospect.com'.

Input schema

Parameter	Type	Description & constraints
url*	string	Domain or URL of the prospect
angle	string	Optional agency pitch angle to tune the brief: 'cro', 'analytics', 'consent', 'sst' (server-side tagging), 'headless', 'consolidation'. If omitted, returns all angles found.

Raw schema JSON

prospect_brief — raw

{
  "name": "prospect_brief",
  "description": "ONE-CALL PROSPECT BRIEF for agency outbound — runs four sub-queries against the live indexed data: (1) full dossier of the prospect&#39;s stack, (2) sister brands sharing tenant IDs (operator cluster), (3) 3-5 similar-stack competitors, (4) structured &#39;pitch angles&#39; calling out concrete gaps an agency could pitch on (missing consent, no SST, outdated vendors, broken Schema.org, multiple GTM installs). Saves a strategist 20 min of manual cross-referencing per prospect. Use this whenever the user asks &#39;tell me about prospect.com&#39;.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "url": {
        "type": "string",
        "description": "Domain or URL of the prospect"
      },
      "angle": {
        "type": "string",
        "description": "Optional agency pitch angle to tune the brief: &#39;cro&#39;, &#39;analytics&#39;, &#39;consent&#39;, &#39;sst&#39; (server-side tagging), &#39;headless&#39;, &#39;consolidation&#39;. If omitted, returns all angles found."
      }
    },
    "required": [
      "url"
    ]
  }
}

directory_query 8 params Unified query against the Boolsai Directory. One tool to rule the other lookups. Pass any combination of: sign…

Unified query against the Boolsai Directory. One tool to rule the other lookups. Pass any combination of: signal_type+signal_value, domain, market_country, archetype, founder, city. Returns matching sites + their key signals. Prefer this over the granular tools when you have multiple filter conditions to AND together.

Input schema

Parameter	Type	Description & constraints
signal_type	string	e.g. 'vendor', 'shopify_shopid'
signal_value	string	exact signal value
domain	string	exact domain match (e.g. 'gymshark.com')
market_country	string	ISO-2 (e.g. 'us')
archetype	string	e.g. 'headless-shopify', 'woocommerce-stores'
founder	string	case-insensitive substring
city	string	case-insensitive city name
limit	integer	max rows (1-500) default: 50

Raw schema JSON

directory_query — raw

{
  "name": "directory_query",
  "description": "Unified query against the Boolsai Directory. One tool to rule the other lookups. Pass any combination of: signal_type+signal_value, domain, market_country, archetype, founder, city. Returns matching sites + their key signals. Prefer this over the granular tools when you have multiple filter conditions to AND together.",
  "inputSchema": {
    "type": "object",
    "properties": {
      "signal_type": {
        "type": "string",
        "description": "e.g. &#39;vendor&#39;, &#39;shopify_shopid&#39;"
      },
      "signal_value": {
        "type": "string",
        "description": "exact signal value"
      },
      "domain": {
        "type": "string",
        "description": "exact domain match (e.g. &#39;gymshark.com&#39;)"
      },
      "market_country": {
        "type": "string",
        "description": "ISO-2 (e.g. &#39;us&#39;)"
      },
      "archetype": {
        "type": "string",
        "description": "e.g. &#39;headless-shopify&#39;, &#39;woocommerce-stores&#39;"
      },
      "founder": {
        "type": "string",
        "description": "case-insensitive substring"
      },
      "city": {
        "type": "string",
        "description": "case-insensitive city name"
      },
      "limit": {
        "type": "integer",
        "default": 50,
        "description": "max rows (1-500)"
      }
    }
  }
}

Resources 0

No resources advertised.

Prompts 0

No prompts advertised.

Inventory recorded Aug 6, 2026 — 5:50 AM as rev 1. Listing calls only — tools are never invoked.

Canonical contract hash

contract hash — rev 1

sha256:26b1b8308c8f00f5acf5f00d481c5cff398167af77b9583bbd2efd56407f4ea9

Computed centrally from the normalized capability inventory (normalizer v1). Scanners submit raw observations; the control plane normalizes and hashes, so every scanner agrees on the same value.

Revisions 1

Rev	Observed	Hash
rev 1 baseline	Aug 6, 2026 — 5:50 AM (88 d ago)

Contract changes 0

No drift observed — every successful observation since Aug 6, 2026 has matched the baseline hash. Boring, in the best way.

Full snapshots are stored only when the canonical hash changes — unchanged observations update freshness without duplicating the contract.

Recent observations latest 8

Observed	Result	Latency
Oct 31, 2026 — 6:00 PM (1 d ago)	Not an MCP response	65 ms
Oct 27, 2026 — 5:55 PM (5 d ago)	Not an MCP response	61 ms
Oct 23, 2026 — 5:50 PM (9 d ago)	Not an MCP response	50 ms
Oct 19, 2026 — 5:50 PM (13 d ago)	Not an MCP response	96 ms
Oct 15, 2026 — 5:45 PM (17 d ago)	Not an MCP response	61 ms
Oct 11, 2026 — 5:40 PM (21 d ago)	Not an MCP response	49 ms
Oct 7, 2026 — 5:35 PM (25 d ago)	Not an MCP response	28 ms
Oct 3, 2026 — 5:35 PM (29 d ago)	Not an MCP response	20 ms

Latest check — evidence & validation Oct 31, 2026 — 6:00 PM

Not an MCP response MCP Tools Edge Scanner ScheduledHTTP 53065 ms

Error detailHTTP 530 with content-type text/plain; charset=utf-8 — this does not look like an MCP endpoint.

response headers (as observed)

{
  "server": "cloudflare",
  "content-type": "text/plain; charset=UTF-8"
}

response body — first bytes

error code: 1016

Baseline capturedThe current contract is rev 1 — the reference state for this endpoint. Future observations will identify outages, recoveries, protocol changes, and contract drift from this state.

Server name	`boolsai-directory`
Server version	`1.0.0`
Transport	Streamable HTTP
Protocol version	`2025-06-18`
First observed	Aug 6, 2026
Last observed	1 d ago
Last successful	36 d ago
Origin	Registry seed

Boolsai Directory MCP · Boolsai

Availability — last 30 days

Advertised capabilities

Tools 19

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Resources 0

Prompts 0

Canonical contract hash

Revisions 1

Contract changes 0

Recent observations latest 8

Publisher supplied

Independently observed

Name	Boolsai Directory MCP
Vendor	Boolsai
Category	search
Docs	—
Repository	—
Auth expected	Auth expectations unknown