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Receipts Index Row Lookup
x402
Receipts Index Row Lookup is a paid API for AI agents from api.receiptsindex.com, paid per call via x402, $0.27/call, status unknown (last checked 2026-10-31).
Retrieves a single dated CSV row recording which US local businesses AI engines named in response to a fixed buyer question
Price / call$0.27
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 single CSV row containing: the UTC date of the AI engine run, a check ID, the business name tested, its niche and market, the AI engine used, the prompt variant asked, the run number, a boolean for whether the business was mentioned, a semicolon-separated list of competitors that were named, sources cited by the engine, the run channel, and any flags (e.g. clean).
Example use cases
Checking if my business was recommended
“Look up Receipts Index row NB-CZ-GROK-1 and tell me whether my coffee shop Morning Bloom was mentioned by ChatGPT when someone asked 'What's the best local coffee shop in Denver?' and list any competitors Grok named instead.”
Competitive intelligence on AI engine results
“Fetch the Receipts Index row for check ID NB-SEO-GPT-5 — I want to see which competitors ChatGPT named instead of my plumbing business when buyers asked for the best local plumber in Austin, and what sources it cited.”
Auditing AI visibility across a date range
“Retrieve Receipts Index row NB-MKT-CLAUDE-3 so I can see whether my restaurant was mentioned by Claude on September 1st 2026 for the 'best Italian restaurant in Chicago' buyer question, and note what run channel and flags came back.”
Technical details
Endpoint
GEThttps://api.receiptsindex.com/v1/row/%7Brow_id%7D?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need the raw, dated evidence of whether a specific business was mentioned (or not) by a named AI engine for a fixed buyer question — especially for auditing AI search visibility, tracking brand mentions over time, or doing competitive analysis on which businesses AI engines recommend in US local markets. Prefer this over general web search or SEO tools when you want structured, reproducible, timestamped AI recommendation data in CSV format keyed by a specific check ID.
Side effects
- Row ID not found — returns empty or 404 if the row_id does not exist in the index
- Payment not processed — x402 payment required for paid rows; unpaid requests may return a 402 with payment details
- Malformed row_id — invalid format returns an error
- Free tier limit — only free/sample rows accessible without payment; paid rows require 0.27 USDC per call
- Network timeout — API may be slow or unavailable under load
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"
}Tags
x402
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