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Brand Mention Inventories — Duplicate Key Report + Equal-Width Histogram
x402
Brand Mention Inventories — Duplicate Key Report + Equal-Width Histogram 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).
Analyzes supplied brand mention inventory records to produce a duplicate key report and an equal-width histogram for mention_count or source_count fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Brand mention inventories — Duplicate key report + Equal-width histogram: Duplicate key report + Equal-width histogram 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 analytical reports: (1) a duplicate key report identifying any row_id values that appear more than once across the supplied records, and (2) an equal-width histogram showing the frequency distribution of the selected numeric field (mention_count or source_count) across the specified number of bins (1–30). Both reports operate entirely on the supplied data with no external lookups.
Example use cases
Duplicate detection in brand tracking data
“I have 150 rows of brand mention records with company group, date, mention count, and source count — can you check them for duplicate row IDs and give me a report on which keys appear more than once?”
Histogram of mention counts by bin
“Take my brand mention inventory data and split the mention_count values into 8 equal-width bins so I can see how the distribution looks — here are the records with row_id, company_group, date, mention_count, and source_count.”
Data quality audit before brand report
“Before I finalize my brand report, can you run both a duplicate key check and a 5-bin histogram on the source_count field across my 200 brand mention records to make sure the data is clean and well-distributed?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-18-064?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to simultaneously detect duplicate keys and understand the numeric distribution of brand mention inventory data (mention_count or source_count) in a single low-cost call. It is ideal for data quality checks before downstream reporting, when you have up to 200 rows of brand tracking records and want both deduplication diagnostics and a histogram without making two separate API calls.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Invalid date format (non-YYYY-MM-DD) causes row validation failure
- Missing required fields (row_id, company_group, date, mention_count, source_count) causes schema rejection
- bins value outside 1–30 range causes parameter validation error
- Numeric field values outside ±1,000,000,000,000 range cause validation error
- Empty rows array causes rejection due to minItems:1 constraint
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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