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Brand Mention Inventories — Grouped Numeric Summary & Category Frequencies
x402
Brand Mention Inventories — Grouped Numeric Summary & 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).
Computes grouped numeric summary statistics and category frequency distributions for up to 200 rows of brand mention inventory data (mention_count, source_count) across company groups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Brand mention inventories — Grouped numeric summary + Category frequencies: Grouped numeric summary + 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 analytical reports: (1) a grouped numeric summary (e.g. count, min, max, mean, sum) of the selected numeric field (mention_count or source_count) broken down by company_group, and (2) category frequency counts showing how often each company_group appears across the supplied rows. No external data is fetched; all analysis runs on the supplied rows.
Example use cases
Brand share-of-voice comparison by group
“I have 150 rows of brand mention data with company_group, date, mention_count, and source_count — can you group and summarize the mention_count field so I can see which company groups have the highest average and total brand mentions?”
Media source diversity audit by segment
“Can you run a grouped numeric summary and category frequency analysis on my brand mention inventory records using the source_count field? I've got about 80 rows across four company groups and want to see how source coverage is distributed.”
Monthly brand monitoring data digest
“I've pulled brand mention inventory data for October 2026 — 120 rows tagged by company_group with mention_count and source_count values. Can you give me a grouped numeric summary and category frequencies for mention_count so I can report on brand activity by segment?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-18-086?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected brand mention inventory data (up to 200 rows) and need both a grouped numeric summary and category frequency breakdown in a single low-cost call. Ideal for offline/batch analytical workflows where no live data lookup or prediction is needed — just fast local statistical computation on supplied rows.
Side effects
- Fewer than 1 row supplied — returns validation error
- More than 200 rows supplied — request rejected, exceeds row limit
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- mention_count or source_count outside ±1,000,000,000,000 — rejected
- Missing required fields (row_id, company_group, date) — schema error
- Invalid field enum value — must be 'mention_count' or 'source_count'
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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