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Source Attribution — Adjacent Row Changes + Keyed Dataset Comparison
x402
Source Attribution — Adjacent Row Changes + 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 2026-10-22).
Runs two analytical reports on source attribution data: adjacent row-over-row change detection and keyed dataset comparison, across cited_sources and verified_links fields for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Source attribution — Adjacent row changes + Keyed dataset comparison: Adjacent row changes + Keyed dataset comparison for supplied source attribution records (cited_sources, verified_links). 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
Two analytical reports: (1) an adjacent row changes report showing row-over-row deltas in the selected field (cited_sources or verified_links), and (2) a keyed dataset comparison report highlighting differences between the primary and comparison datasets matched by row_id, covering up to 200 rows per call.
Example use cases
News pipeline attribution drift detection
“I have two snapshots of my news source attribution data — one from last week and one from this week — each with about 80 rows tagged by channel group and date. Can you run adjacent row changes and a keyed comparison on the cited_sources field so I can see where attribution counts shifted?”
Verified links audit across channel groups
“Compare these two sets of source attribution records for my media monitoring dashboard — around 120 rows each, grouped by channel — and tell me where verified_links changed between adjacent rows and where the two datasets differ by row key.”
Editorial source integrity check
“I need to audit my cited_sources data for editorial quality control. I have a baseline dataset and an updated version, both around 40 rows with channel groups and dates. Run the adjacent row change report and keyed dataset comparison on cited_sources so I can spot any unexpected jumps or mismatches.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-news-02-161?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both row-over-row trend analysis and a side-by-side keyed comparison of two source attribution datasets in a single call, without requiring live lookups or external data enrichment. Ideal for auditing news or media attribution pipelines where cited_sources and verified_links are the key metrics and datasets are already prepared locally.
Side effects
- Missing required fields (row_id, channel_group, date, cited_sources, verified_links) causes validation error
- Exceeding 200 rows returns an error or truncation
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Null values in numeric fields may produce null deltas in output
- Mismatched row_ids between primary and comparison datasets may result in unmatched keys in comparison report
- Payment of 0.01 USDC required per call; insufficient funds will block execution
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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