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Fact Check Workflow — Numeric Distribution & Row Ordering Analytics
x402
Fact Check Workflow — Numeric Distribution & Row Ordering Analytics 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).
Computes numeric distribution statistics and row ordering reports 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 + Numeric row ordering: Numeric distribution + Numeric row ordering 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 for the supplied dataset: (1) a numeric distribution report showing statistical spread (e.g. min, max, mean, percentiles) for the selected field (claims_reviewed or references_collected), and (2) a row ordering report ranking all supplied rows by that field's value — covering up to 200 input rows.
Example use cases
Channel group claims volume analysis
“I have a month's worth of fact-check workflow records across two channel groups, with daily claims_reviewed and references_collected counts. Can you run a numeric distribution and row ordering report on claims_reviewed so I can see how the volume is spread and which days rank highest?”
References collected ranking for editorial review
“Here are 50 rows from our fact-check workflow covering October — each has a row_id, channel_group, date, claims_reviewed, and references_collected. Give me the distribution stats and row ordering for references_collected so I know which entries gathered the most sources.”
Fact-check throughput benchmarking
“I want to benchmark our fact-check throughput across channel groups for Q3. I have 120 rows with daily claims_reviewed and references_collected data. Can you compute the numeric distribution and ranked ordering on claims_reviewed so I can spot outliers and see which days performed best?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-news-18-073?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular fact-check workflow records with numeric claims_reviewed or references_collected fields and need both distribution statistics and ranked row ordering in a single call without any external lookup, live data fetch, or prediction — especially when working with up to 200 rows and wanting two analytical reports for a flat $0.01 USDC fee.
Side effects
- Empty or missing rows array returns validation error
- rows array exceeding 200 items rejected
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Missing required fields (row_id, channel_group, date, claims_reviewed, references_collected) causes rejection
- Invalid field enum value (not claims_reviewed or references_collected) causes error
- All null numeric values may produce empty or degenerate distribution output
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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