AI Tooling Detector
Detects whether a company declares, deploys, or charges for AI. Returns a flat Clay-ready row with an AI maturity tier, detected AI vendors, llms.txt status, and pricing-page evidence.
Use Cases
- Who buys it. Bought by teams selling AI infrastructure, AI-adjacent tooling, or anything where "already pays for AI" and "still only talking about AI" are two different pitches.
- Clay enrichment column. Split your list into companies that already pay for AI and companies that only talk about it, then pitch each group differently.
Features
- Four-level maturity tier, not a boolean
- Pricing-page commercialization detection
- 52 AI vendor fingerprints across 5 categories
- 29 flat fields, snake_case, one row per domain
- 26 AI crawler policies read from robots.txt
Input
domainstringoptionalA single company domain. Ignored when domains is filled. Default: intercom.com.
domainsarrayoptionalBatch mode. Takes precedence over domain. Default: [].
check_pricingbooleanoptionalFetch and score the pricing page. Off caps results at deployed. Default: true.
batchSizeintegeroptionalDomains analyzed concurrently, 1 to 10. Default: 5.
request_timeout_msintegeroptionalPer-request timeout, 3000 to 20000. Default: 9000.
skipCachebooleanoptionalIgnore the 7 day result cache. Default: false.
qa_test_modebooleanoptionalEmit a single summary row and skip all network work. Default: false.
Output schema
{
"domain": "intercom.com",
"resolved_url": "https://www.intercom.com/",
"http_status": 200,
"ai_maturity": "commercialized",
"uses_ai": true,
"confidence": 1,
"has_llms_txt": true,
"llms_txt_url": "https://intercom.com/llms.txt",
"detected_tools": [
{"vendor": "Intercom Fin", "category": "support", "ai_native": true, "confidence": "high", "evidence": "markup match: fin.ai"}
],
"detected_tool_names": "Intercom Fin",
"detected_categories": ["support"],
"ai_copy_weight": 8,
"ai_pricing_detected": true,
"ai_pricing_score": 10,
"pricing_url": "https://www.intercom.com/pricing",
"evidence": ["AI priced per resolved outcome: \"$0.99 per Fin outcome\""],
"signals_fired": ["llms_txt", "vendor_fingerprint", "pricing_commercialization"],
"signals_missing": ["ai_txt", "robots_ai_directives"],
"blocked": false,
"is_js_rendered": false,
"fetch_error": null,
"checked_at": "2026-08-05T17:20:00.000Z"
}Pricing
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