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Brand Mention Inventories — Record Quality Audit + Exact Row Deduplication + Grouped Numeric Summary
x402
Brand Mention Inventories — Record Quality Audit + Exact Row Deduplication + 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).
Runs three local analytical reports on brand mention inventory data: a record quality audit, exact row deduplication, and a grouped numeric summary for mention_count or source_count fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Brand mention inventories — Record quality audit + Exact row deduplication + Grouped numeric summary: Record quality audit + Exact row deduplication + Grouped numeric summary for supplied brand mention inventories records (mention_count, source_count). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Three independent reports: (1) a record quality audit identifying missing, malformed, or out-of-range values; (2) an exact row deduplication report listing duplicate records; (3) a grouped numeric summary aggregating the selected field (mention_count or source_count) by company_group. All computed locally with no external lookups.
Example use cases
Brand data quality check before reporting
“I have a CSV of brand mention data with columns row_id, company_group, date, mention_count, and source_count — can you run a record quality audit and exact deduplication on it before I send the report to my client? Here are the rows for groups alpha and beta across Q3.”
Grouped mention count summary by company
“Can you take my brand mention inventory rows for groups acme-corp and rival-co over the past month and give me a grouped numeric summary of their mention_count values so I can compare them side by side?”
Cleaning duplicate entries in brand monitoring export
“My brand monitoring tool exported some rows that I think have duplicates — can you deduplicate them exactly and flag any quality issues? The data has row_id, company_group, date, mention_count, and source_count fields, about 150 rows total.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-18-211?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have brand mention inventory data (with mention_count and source_count fields) and need all three of: a quality audit, deduplication, and grouped numeric aggregation in a single call for up to 200 rows. It is a cost-efficient batch analytics option when no live data lookup or predictive modeling is needed — purely local computation on supplied rows.
Side effects
- More than 200 rows submitted — endpoint only accepts up to 200 rows per call
- Missing required fields (row_id, company_group, date, mention_count, source_count) cause validation errors
- Invalid date format (must be YYYY-MM-DD) causes schema rejection
- Numeric values outside ±1,000,000,000,000 range are rejected
- Empty rows array returns an error
- Payment of 0.01 USDC not provided — request rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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