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Fact Check Workflow — Exact Row Deduplication + Secondary-Measure Weighted Mean
x402
Fact Check Workflow — Exact Row Deduplication + 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 2026-10-23).
Deduplicates fact-check workflow records and computes a secondary-measure weighted mean across claims_reviewed and references_collected data, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Fact check workflow — Exact row deduplication + Secondary-measure weighted mean: Exact row deduplication + 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 analytical reports: (1) a deduplicated row set with exact duplicate rows removed, and (2) a secondary-measure weighted mean computed over the specified field (claims_reviewed or references_collected), grouped or weighted by the secondary measure across the supplied rows and channel groups.
Example use cases
Cleaning duplicate fact-check submissions
“I have a batch of 80 fact-check workflow rows from our newsroom — some rows are exact duplicates across different channel groups. Can you deduplicate them and give me a weighted mean for claims_reviewed so I can see which channels are doing the most verification work?”
Weekly references collected summary
“Here are 120 rows of fact-checking activity from last week, each with a row_id, channel_group, date, claims_reviewed, and references_collected. Please deduplicate the exact duplicate rows and then compute the secondary-measure weighted mean for references_collected so I can report on sourcing effort.”
Auditing channel group fact-check data
“I need to audit our fact-check workflow data for channel groups 'breaking-news' and 'investigative' — I have 40 rows covering October. Run exact row deduplication and a weighted mean on claims_reviewed to identify any data quality issues and summarize the load per group.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-news-18-051?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a batch of fact-check workflow records (up to 200 rows) that may contain exact duplicate entries and you need both a cleaned dataset and a statistically weighted aggregate of either claims_reviewed or references_collected. It is ideal for newsroom analytics pipelines, journalism data audits, and weekly fact-check reporting where deduplication and weighted summarization are needed together in a single low-cost call. Not suitable for live lookups, predictions, or datasets exceeding 200 rows.
Side effects
- Exceeding 200 rows causes rejection — keep input to maxItems:200
- Missing required fields (row_id, channel_group, date, claims_reviewed, references_collected) on any row causes validation failure
- Invalid date format (non-YYYY-MM-DD) triggers pattern validation error
- Null values for both measures may produce undefined weighted mean
- Payment failure or insufficient USDC balance blocks the call
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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