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Brand Mention Inventories — Record Quality Audit + Secondary-Measure Weighted Mean
x402
Brand Mention Inventories — Record Quality Audit + Secondary-Measure Weighted Mean 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).
Audits record quality and computes a secondary-measure weighted mean for up to 200 rows of brand mention inventory data (mention_count, source_count), producing two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Brand mention inventories — Record quality audit + Secondary-measure weighted mean: Record quality audit + Secondary-measure weighted mean 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 independent analytical reports: (1) a record quality audit identifying issues such as missing values, out-of-range entries, and consistency problems across the supplied brand mention rows; (2) a weighted mean calculation for the selected field (mention_count or source_count) using the other measure as the weight. Both reports are computed locally with no external lookups.
Example use cases
Monthly brand mention data quality check
“I have 50 rows of brand mention data across three company groups for October — can you run a record quality audit and give me the source-count-weighted mean of mention_count so I can spot bad records and understand the weighted average?”
Multi-brand competitive mention analysis
“Audit the quality of these 120 brand mention inventory rows and compute the weighted mean for source_count — I need to know which records are bad and what the weighted average looks like across group-a and group-b.”
Marketing team data pipeline validation
“Before I import this brand mention dataset into our dashboard, can you run a quality audit on these 80 rows and also calculate the secondary-measure weighted mean of mention_count? Flag any rows that look problematic.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-company-18-016?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a data quality audit and a weighted mean calculation on brand mention inventory data in a single API call. It is ideal for marketing analysts who want to validate the integrity of their brand mention records and compute a source-weighted average without building custom analytics. Best for batch sizes up to 200 rows where no live data lookup or external enrichment is needed.
Side effects
- Submitting more than 200 rows returns a validation error
- Missing required row fields (row_id, company_group, date, mention_count, source_count) causes rejection
- Invalid date format (not YYYY-MM-DD) fails schema validation
- Numeric values outside the allowed range (-1,000,000,000,000 to 1,000,000,000,000) are rejected
- Empty rows array returns an error
- Invalid field enum value (not 'mention_count' or 'source_count') causes a schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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