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Source Attribution Analytics: Equal-Width Histogram + Keyed Dataset Comparison
x402
Source Attribution Analytics: Equal-Width Histogram + 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 local analytical reports on source attribution records — an equal-width histogram and a keyed dataset comparison — for up to 200 rows of cited_sources and verified_links data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Source attribution — Equal-width histogram + Keyed dataset comparison: Equal-width histogram + 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
Returns two analytical reports: (1) an equal-width histogram partitioning the chosen field (cited_sources or verified_links) into the specified number of bins with frequency counts and bin boundaries, and (2) a keyed dataset comparison highlighting differences between the primary and secondary datasets matched by row_id. All computation is performed locally with no external lookups or predictions.
Example use cases
Pre/post editorial policy comparison
“We changed our sourcing policy last month — I have two datasets of article source attribution records, each up to 150 rows, with cited_sources and verified_links per channel group and date. Can you compare them using a keyed dataset comparison and also show me a 7-bin histogram of cited_sources so I can see how the distribution shifted?”
Channel group source distribution audit
“I want to audit how cited_sources are distributed across our channel groups — here are 200 rows of source attribution data with dates and channel_group labels. Run an equal-width histogram with 5 bins on the cited_sources field and compare it against last quarter's dataset using a keyed comparison.”
Verified links frequency analysis
“Can you analyze the distribution of verified_links in my source attribution dataset of 80 rows? Use 8 equal-width bins and also compare it against our baseline dataset so I can see which rows diverge the most.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-news-02-174?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two simultaneous analytical reports — a distribution histogram and a keyed row-level comparison — on source attribution data (cited_sources, verified_links) without requiring live lookups, external enrichment, or predictions. Ideal for journalism, media auditing, or content verification workflows where you have two datasets to compare and want statistical distribution insight in a single low-cost call.
Side effects
- More than 200 rows submitted — request rejected with validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- bins value exceeds 30 or is less than 1 — rejected by schema
- Missing required fields (row_id, channel_group, date, cited_sources, verified_links) — validation error
- Null values in numeric fields may affect histogram bin computation
- Mismatched row_ids between rows and other datasets may reduce comparison coverage
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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