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Brand Mention Inventories — String Normalisation + Grouped Numeric Summary
x402
Brand Mention Inventories — String Normalisation + Grouped Numeric Summary 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).
Normalises string fields and produces a grouped numeric summary (sum, mean, etc.) for brand mention inventory records containing mention_count and source_count, across up to 200 rows in two independent reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Brand mention inventories — String normalisation + Grouped numeric summary: String normalisation + Grouped numeric summary 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) string-normalised versions of the supplied brand mention records (cleaning company_group and other string fields), and (2) a grouped numeric summary of the selected measure (mention_count or source_count) aggregated by company_group, for up to 200 input rows.
Example use cases
Monthly brand mention rollup by company
“I have 120 rows of brand mention data for October 2026 with company groups like 'Acme Corp' and 'Rival Inc' — can you normalise the company names and give me a grouped summary of mention_count so I can see which brand got the most mentions?”
Source diversity analysis across groups
“For these 80 brand mention inventory records, normalise the string fields and produce a grouped numeric summary of source_count so I can understand how many distinct sources each company group appeared in during Q3 2026.”
Multi-group mention trend digest
“I've got 200 rows of brand mention inventory data split across five company groups — please normalise the group name strings and give me the grouped numeric summary for mention_count so I can compare them side by side.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-18-023?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular brand mention inventory data (up to 200 rows) and need both string normalisation of company group labels and a grouped numeric summary of mention or source counts — all in one low-cost call ($0.01 USDC). It works entirely on supplied data with no external lookups, making it reliable and deterministic. Prefer it over general-purpose analytics when you specifically need the two-report format (normalised strings + grouped aggregates) for brand mention fields.
Side effects
- Input array exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, company_group, date, mention_count, source_count) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers pattern validation failure
- Numeric values outside ±1,000,000,000,000 boundary rejected
- Empty rows array returns error
- Invalid field enum value (not mention_count or source_count) causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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