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Fact Check Workflow — Record Quality Audit + Secondary-Measure Weighted Mean
x402
Fact Check Workflow — 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 2026-11-02).
Runs two local analytical reports on fact-check workflow data: a record quality audit and a secondary-measure weighted mean, across up to 200 rows of claims_reviewed and references_collected data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Fact check workflow — Record quality audit + Secondary-measure weighted mean: Record quality audit + Secondary-measure weighted mean for supplied fact check workflow records (claims_reviewed, references_collected). 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 independent analytical reports: (1) a record quality audit flagging completeness and anomaly issues per row, and (2) a secondary-measure weighted mean computed over the selected field (claims_reviewed or references_collected), both derived locally without external lookups or live data.
Example use cases
Daily newsroom claims audit
“I have a week's worth of fact-check records from two newsroom channel groups — can you audit the data quality and compute a weighted mean for claims_reviewed? The rows span 2026-10-01 through 2026-10-07 with various claims_reviewed and references_collected counts per day.”
References collected trend check
“Run a record quality audit and weighted mean on my references_collected data — I've got 50 rows from our fact-checking workflow covering different channel groups and dates throughout October 2026, and I want to spot any data quality issues and get the weighted average.”
Multi-group fact-check summary
“Can you analyze these 120 fact-check workflow records across our three channel groups for data quality issues and give me a weighted mean for claims_reviewed? Dates range from 2026-09-01 to 2026-09-30.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-news-18-016?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured fact-check or journalism workflow tabular data (up to 200 rows) and need both a data quality audit and a weighted mean computation in a single low-cost call, without requiring live lookups, external APIs, or professional assessments.
Side effects
- Exceeding 200 rows returns a validation error
- Missing required fields (row_id, date, claims_reviewed, references_collected) cause rejection
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- Null values in numeric fields may affect weighted mean accuracy
- Empty rows array returns an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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