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Brand Mention Inventories — Adjacent Row Changes + Equal-Width Histogram
x402
Brand Mention Inventories — Adjacent Row Changes + 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).
Computes adjacent row-to-row changes and an equal-width histogram for brand mention inventory data (mention_count, source_count) supplied by the caller.
Price / call$0.01
Success—
StatusUnknown
How this service works
Brand mention inventories — Adjacent row changes + Equal-width histogram: Adjacent row changes + 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) an adjacent row changes report showing the difference in the chosen field (mention_count or source_count) between consecutive rows, and (2) an equal-width histogram report partitioning the field values into the specified number of bins with counts per bin. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Weekly brand spike detection
“Here are 50 daily brand mention records for our three product lines from 2024-03-01 to 2024-04-19, each with mention_count and source_count — give me the adjacent row changes and a 10-bin histogram on mention_count so I can see where the spikes are.”
Monthly source count distribution
“I've got 120 rows of brand mention inventory data grouped by company across Q1 2024. Can you run the equal-width histogram with 8 bins and the adjacent row changes report on source_count so I can understand how our media source coverage is distributed?”
Competitor mention trend comparison
“Run an adjacent row changes report and a 5-bin histogram on mention_count for these 30 rows of competitor brand mention data — I want to see how mention volumes shift day-to-day and what the overall frequency distribution looks like.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-18-156?utm_source=zero.xyzWhen to prefer
Use this endpoint when you already have brand mention inventory data in hand and need two fast, offline analytical outputs — adjacent row deltas and a histogram distribution — without any live data lookup, prediction, or external service call. It is ideal for post-collection analysis of mention_count or source_count time series in a single cheap API call.
Side effects
- More than 200 rows supplied — request rejected
- Required row fields (row_id, company_group, date, mention_count, source_count) missing — validation error
- Date field not matching YYYY-MM-DD pattern — validation error
- bins parameter outside 1–30 range — validation error
- Empty rows array — validation error
- Payment not fulfilled via x402 protocol — 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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