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Source Attribution Data Quality Suite — Record Audit, Deduplication & Category Frequencies
x402
Source Attribution Data Quality Suite — Record Audit, Deduplication & Category Frequencies 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).
Runs three local analytical reports on source attribution records: record quality audit, exact row deduplication, and category frequency counts for cited_sources and verified_links fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Source attribution — Record quality audit + Exact row deduplication + Category frequencies: Record quality audit + Exact row deduplication + Category frequencies for supplied source attribution records (cited_sources, verified_links). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Returns three separate analytical reports for up to 200 input rows: (1) a record quality audit flagging null, missing, or out-of-range values; (2) an exact row deduplication report identifying and removing identical records; and (3) category frequency counts showing how records distribute across channel_group values for cited_sources and verified_links — all computed locally with no external lookups.
Example use cases
Citation data quality audit for news team
“I have 120 rows of source attribution records from our news pipeline with fields for date, channel_group, cited_sources, and verified_links — can you run a full quality audit to flag missing or bad values, deduplicate exact rows, and tell me how many records fall into each channel group?”
Deduplication check on verified links dataset
“We're cleaning up our link verification dataset before a report — can you check these 80 source attribution rows for exact duplicates and also show me the quality of each record, along with how frequently each channel_group appears?”
Frequency profiling for editorial attribution review
“Before our quarterly editorial review, can you profile these 200 source attribution records — flag any quality issues, remove duplicates, and give me a breakdown of how cited_sources and verified_links are distributed across our channel groups?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-news-02-212?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to simultaneously profile data quality, remove exact duplicates, and compute category frequencies on a batch of up to 200 source attribution records in a single low-cost call ($0.01 USDC). It is best suited for offline/local analytical passes on citation or link verification datasets where no live lookups, predictions, or external enrichment are needed. If you only need one of the three reports or need to process more than 200 rows, consider alternative endpoints.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, channel_group, date, cited_sources, verified_links) cause validation errors
- Malformed date strings not matching YYYY-MM-DD pattern cause rejection
- cited_sources or verified_links values outside allowed numeric range cause errors
- Empty rows array rejected (minItems: 1)
- Payment not provided or insufficient USDC balance causes 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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