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Fact Check Workflow Analytics — Numeric Distribution + Daily Sum Series
x402
Fact Check Workflow Analytics — Numeric Distribution + 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).
Computes numeric distribution statistics and a daily sum time series for fact-check workflow data (claims reviewed and references collected) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Fact check workflow — Numeric distribution + Daily sum series: Numeric distribution + 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
Returns two analytical reports for the supplied dataset: (1) a numeric distribution report showing statistical spread (min, max, mean, percentiles, etc.) for the selected field, and (2) a daily sum series showing aggregated totals per date. Both reports are computed locally on the supplied data with no external lookups.
Example use cases
Daily claims volume trend for newsroom
“I have a week of fact-check workflow records with daily claims_reviewed counts across two channel groups — can you compute the numeric distribution and daily sum series for claims_reviewed so I can see volume trends and spread?”
References collected distribution for audit
“Run a numeric distribution and daily sum series report on my references_collected data from our fact-check pipeline — I have about 150 rows with dates and channel groups and need both reports for an internal audit.”
Channel group performance summary
“I need to analyze my fact-checking workflow metrics — I have rows with claims_reviewed and references_collected per date and channel_group, please generate the distribution stats and daily sum series for the references_collected field across all my records.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-news-18-075?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of fact-check workflow records with dated, grouped numeric fields and need both a statistical distribution and a daily aggregated time series in a single low-cost call. It is purpose-built for journalism and fact-checking pipeline analytics without requiring external data access or live lookups.
Side effects
- Empty or missing rows array returns an error
- More than 200 rows submitted exceeds the limit and will be rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Missing required fields (row_id, channel_group, date, claims_reviewed, references_collected) on any row causes rejection
- Invalid field enum value (not claims_reviewed or references_collected) causes error
- All-null values for the selected numeric field may produce empty or degenerate distribution output
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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