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Fact Check Workflow — Secondary-Measure Weighted Mean + Keyed Dataset Comparison
x402
Fact Check Workflow — Secondary-Measure Weighted Mean + Keyed Dataset Comparison 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 a secondary-measure weighted mean and performs keyed dataset comparison on up to 200 fact-check workflow records (claims_reviewed, references_collected), returning 2 analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Fact check workflow — Secondary-measure weighted mean + Keyed dataset comparison: Secondary-measure weighted mean + Keyed dataset comparison 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 2 analytical reports: (1) a secondary-measure weighted mean of the selected field (claims_reviewed or references_collected), weighted by the other measure, computed across up to 200 rows; and (2) a keyed dataset comparison showing differences and alignments between the primary and secondary supplied datasets, keyed by row_id or channel_group.
Example use cases
Comparing two newsroom fact-check periods
“I have fact-check workflow data for October and November across our channel groups — can you compute the weighted mean of claims_reviewed (weighted by references_collected) for each period and then compare the two datasets by key to see what changed?”
Weighted performance summary by channel group
“I've got up to 150 rows of fact-check records with claims_reviewed and references_collected per channel group and date. Please calculate the secondary-measure weighted mean of references_collected and run a keyed comparison against our baseline dataset.”
Auditing fact-check volume across sources
“Can you take my two sets of fact-check workflow records — each with row_id, channel_group, date, claims_reviewed, and references_collected — and produce a weighted mean of claims_reviewed plus a keyed dataset comparison report so I can audit consistency across sources?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-news-18-186?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to compute a weighted mean of one fact-check metric (claims_reviewed or references_collected) using the other as the weight, AND simultaneously compare two keyed datasets of fact-check workflow records — all from data you supply locally, with no live lookups or external data sources required. Best for offline batch analytics on up to 200 rows at low cost ($0.01 USDC for both reports).
Side effects
- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, channel_group, date, claims_reviewed, references_collected) — validation error
- Invalid date format (must be YYYY-MM-DD) — schema validation failure
- Null values in both claims_reviewed and references_collected for a row — row excluded from weighted mean
- Empty rows array — error returned
- Mismatched keys between primary and comparison datasets — comparison report may show all rows as unmatched
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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