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Fact Check Workflow — Record Quality Audit + Daily Sum Series
x402
Fact Check Workflow — Record Quality Audit + Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-30).
Runs two local analytical reports on fact-check workflow data: a record quality audit and a daily sum time series, for up to 200 rows of claims_reviewed or references_collected metrics.
Price / call$0.01
Success—
StatusUnknown
How this service works
Fact check workflow — Record quality audit + Daily sum series: Record quality audit + Daily sum series 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
Two independent analytical reports: (1) a record quality audit flagging data issues such as missing values, duplicates, or anomalies across the submitted rows, and (2) a daily sum series aggregating the selected numeric field (claims_reviewed or references_collected) by date. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Daily claims reviewed trend check
“I have 4 months of daily fact-check records with claims_reviewed and references_collected per channel group — can you run a daily sum series on claims_reviewed so I can see how our volume trended over time, and flag any quality issues in the rows?”
Data quality audit before reporting
“Before I send this fact-check dataset to my editor, can you run a record quality audit on these rows — each has a row_id, date, channel_group, claims_reviewed, and references_collected — so I can catch any bad or missing data?”
Reference collection workload analysis
“Can you analyze my references_collected data for the last quarter across channel groups? I want both a quality audit of the records and a daily sum series so I can spot gaps or spikes in our reference gathering workflow.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-news-18-009?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two bundled analytical outputs — a data quality audit plus a daily aggregation series — on fact-check workflow records without requiring any live data lookups or external integrations. It is cost-effective at $0.01 for both reports on up to 200 rows, making it ideal for lightweight, self-contained batch analysis of claims and references data.
Side effects
- Empty rows array — minimum 1 row required
- More than 200 rows submitted — exceeds maxItems limit
- Invalid date format — must match YYYY-MM-DD pattern
- Missing required fields (row_id, channel_group, date, claims_reviewed, references_collected) on any row
- Invalid field enum value — must be 'claims_reviewed' or 'references_collected'
- Numeric values outside allowed range (-1,000,000,000,000 to 1,000,000,000,000)
- Payment failure — 0.01 USDC required per call
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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