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Receipts Index — Daily AI Mention Rows
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Receipts Index — Daily AI Mention Rows is a paid API for AI agents from api.receiptsindex.com, paid per call via x402, $1.81/call, status unknown (last checked 2026-10-31).
Returns a dated CSV of which US local businesses AI engines named in response to fixed buyer-intent prompts, for a specified date.
Price / call$1.81
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 with rows for each AI engine test run on the requested date, including columns for date_utc, check_id, business name, niche, market, AI engine used, exact prompt variant asked, run number, whether the target business was mentioned (true/false), names of competitors cited, sources referenced, run channel, and quality flags. Each row represents one AI engine answering one fixed buyer-intent question.
Example use cases
Daily AI mention audit for brand
“Show me the Receipts Index results for July 15, 2026 — I want to know if Namebeam was mentioned by any AI engine when buyers asked about AI visibility services, and who else got named instead.”
Competitive landscape snapshot
“Pull the Receipts Index CSV for August 20, 2026 so I can see which competitors in the AI visibility niche were recommended by ChatGPT and Grok that day, and which sources they cited.”
Trend monitoring over a specific date
“Get me the Receipts Index rows for October 3, 2026 — I need to track whether any businesses in the US local services market showed up in AI engine answers and flag any new names that appeared.”
Technical details
Endpoint
GEThttps://api.receiptsindex.com/v1/day/%7Bdate%7D?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need raw, dated, per-run evidence of which businesses AI engines recommended in response to fixed buyer questions — particularly for auditing AI visibility, building time-series brand-mention datasets, or competitive intelligence in the US local business market. Prefer this over social listening or SEO rank-tracking tools when the specific question is 'what did an AI engine say, on this exact date, when a buyer asked this question?'
Side effects
- Date not yet indexed — data may not be available for future or very recent dates
- Invalid date format in path parameter returns an error
- No data rows for a date where no runs were conducted (empty CSV)
- Payment failure via x402 if USDC balance is insufficient ($1.81 per call)
- Rate limiting or authentication errors if access credentials are invalid
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
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