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Receipts Index – AI Engine Business Mention Corpus
x402
Receipts Index – AI Engine Business Mention Corpus is a paid API for AI agents from api.receiptsindex.com, paid per call via x402, $540/call, status unknown (last checked 2026-10-31).
Returns dated CSV rows showing which US local businesses AI engines named in response to fixed buyer questions, enabling AI visibility tracking.
Price / call$540
Success—
StatusUnknown
How this service works
Dated rows of which US local businesses AI engines name for fixed buyer questions. Free index and sample; paid rows over x402. Remote MCP at /mcp.
Output
A CSV-formatted dataset with columns: date_utc, check_id, business, niche, market, engine, prompt_variant, run, business_mentioned (boolean), competitors_named (semicolon-separated list), sources_cited, run_channel, and flags. Each row represents one AI engine run against a fixed buyer question, showing whether the target business was mentioned and which competitors or sources were cited instead.
Example use cases
Audit AI visibility for my business
“Check the Receipts Index corpus to see whether my business Namebeam gets mentioned by ChatGPT or Grok when US buyers search for AI visibility services — show me the dated rows with any competitors listed alongside it.”
Competitive intelligence across AI engines
“Pull the latest Receipts Index data for the home services niche in the US market and show me which businesses Grok and ChatGPT are naming most often across different buyer prompt variants.”
Track AI engine brand mentions over time
“Get me the Receipts Index corpus rows from the past month for the restaurant niche in the US so I can see which local businesses AI engines have been recommending and whether any new names are appearing.”
Technical details
Endpoint
GEThttps://api.receiptsindex.com/v1/corpus?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need empirical, dated evidence of which businesses AI engines actually name in response to buyer queries — particularly for AI visibility auditing, competitive benchmarking, or brand monitoring across multiple AI engines (ChatGPT, Grok, etc.) for US local business niches. It is preferable over manual AI querying because it provides structured, reproducible, timestamped data across standardized prompt variants.
Side effects
- Payment required (HTTP 402) when requesting paid rows beyond the free index sample
- Malformed filter parameters may return empty result sets
- Large corpora may return truncated CSV requiring pagination
- Engine or niche not covered in the index returns no matching rows
- Rate limiting on repeated free-tier calls
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| properties | string |
Output
Schema · Response
{
"type": "text",
"format": "csv",
"example": "date_utc,check_id,business,niche,market,engine,prompt_variant,run,business_mentioned,competitors_named,sources_cited,run_channel,flags\n2026-09-01,NB-CZ-GROK-1,Namebeam,AI visibility,US,grok,Who is the best AI visibility service that checks whether ChatGPT recommends my business?,1,false,Profound; Otterly.ai; Peec AI; Semrush AI Toolkit; Ahrefs Brand Radar; Scrunch,Aboutmartech,grok_web_fast,clean\n2026-09-01,NB-CZ-GROK-2,Namebeam,AI visibility,US,grok,\"Which company publishes its own AI-visibility results, wins and losses, with dated transcripts?\",1,false,none named; Brandlight referenced as adjacent,Sat.brandlight,grok_web_fast,clean"
}Tags
x402
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