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Brand Mention Inventories — Record Quality Audit + Category Frequencies
x402
Brand Mention Inventories — Record Quality Audit + Category Frequencies is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).
Audits record quality and computes category-level frequencies for brand mention inventory data (mention_count, source_count) across up to 200 rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Brand mention inventories — Record quality audit + Category frequencies: Record quality audit + Category frequencies for supplied brand mention inventories records (mention_count, source_count). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Two independent analytical reports: (1) a record quality audit identifying completeness, validity, and anomalies across the supplied rows, and (2) a category frequency summary showing how mention_count and source_count distribute across company_group and date categories — all computed locally on the supplied data with no external lookups.
Example use cases
Brand mention data quality check
“I have a CSV of brand mention records for Q4 with columns row_id, company_group, date, mention_count, and source_count — can you run a quality audit on them and flag any bad records? I have about 150 rows across groups like 'group-a' and 'group-b'.”
Category frequency breakdown for competitive brands
“Can you tell me how frequently each company group appears in my brand mention inventory? I'll supply the rows with mention_count and source_count for each date, and I want both the quality audit and the category frequency report.”
Data completeness review for brand tracking pipeline
“Before I push this batch of brand mention data into our pipeline, can you run a record quality audit on it and show me the category frequencies by company group? There are around 80 rows covering October 2026.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-18-006?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of brand mention inventory data and need both a data quality audit and a category frequency analysis in a single low-cost call ($0.01 USDC). It is best suited for offline/batch validation of brand monitoring datasets rather than real-time lookups, predictions, or external enrichment.
Side effects
- Fewer than 1 row or more than 200 rows supplied — rejected by schema validation
- Missing required fields (row_id, company_group, date, mention_count, source_count) in any row causes validation failure
- Dates not matching YYYY-MM-DD pattern are rejected
- Numeric values outside the allowed range (±1 trillion) may cause errors
- row_id values exceeding 80 characters are rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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