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Brand Mention Inventories — Duplicate Key Report + Category Frequencies
x402
Brand Mention Inventories — Duplicate Key Report + 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 2026-10-20).
Analyzes supplied brand mention inventory records to produce a duplicate key report and category frequency breakdown for mention_count and source_count fields, covering up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Brand mention inventories — Duplicate key report + Category frequencies: Duplicate key report + 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
Returns two independent analytical reports: (1) a duplicate key report identifying any row_ids that appear more than once across the submitted rows, and (2) a category frequency table showing how often each company_group value appears, along with aggregated mention_count and source_count statistics — all computed locally with no external lookups, covering up to 200 input rows.
Example use cases
Auditing brand mention pipeline for duplicates
“I have a batch of 50 brand mention inventory records from our data pipeline and I want to know if any row IDs are duplicated — can you run a duplicate key report on them and also show me how often each company_group appears?”
Frequency analysis of competitor mention groups
“Here are 150 rows of competitor brand mention data with company_group, date, mention_count, and source_count — give me a category frequency table showing how many times each company group shows up across the dataset.”
Data quality check before merging mention datasets
“Before I merge these two brand mention inventory batches, can you check the combined records for any duplicate row_id keys and also summarize the mention_count and source_count distributions by company_group? I have about 200 rows total.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-18-057?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 brand mention inventory rows and need both duplicate key detection and category frequency analysis in a single low-cost call ($0.01 USDC). It is ideal for data quality audits before merging or ingesting brand mention datasets, and for quick frequency summaries of company_group distributions without any live external lookup or prediction overhead.
Side effects
- Exceeding 200 rows returns an error or truncated result
- Missing required fields (row_id, company_group, date, mention_count, source_count) cause validation failure
- Malformed date strings not matching YYYY-MM-DD pattern are rejected
- Numeric values outside the allowed range (-1,000,000,000,000 to 1,000,000,000,000) are rejected
- Empty rows array (minItems:1 not satisfied) returns an error
- Payment failure or insufficient USDC balance prevents execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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