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Source Attribution Analytics — Base-100 Series & Two-Measure Correlation
x402
Source Attribution Analytics — Base-100 Series & Two-Measure Correlation is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-24).
Computes a Base-100 indexed time series and a two-measure Pearson-style correlation between cited_sources and verified_links for up to 200 source attribution rows, entirely on supplied data with no external lookups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Source attribution — Base-100 series + Two-measure correlation: Base-100 series + Two-measure correlation 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 on the supplied data: (1) a Base-100 indexed time series for the selected field (cited_sources or verified_links), anchored to the specified base_index row, showing relative change across all rows; and (2) a two-measure correlation report quantifying the statistical relationship between cited_sources and verified_links across all supplied records. Results are computed locally from the provided rows only — no external data is fetched.
Example use cases
Newsroom citation trend indexing
“I have daily citation counts and verified link counts for two editorial channels across the past month — can you index the cited_sources column to a base-100 starting from day one and also show me how correlated cited_sources and verified_links are across all rows?”
Source quality audit for content team
“Run the base-100 series and two-measure correlation on this batch of source attribution records: channel group 'politics' has cited_sources ranging 50–300 and verified_links from 5–40 over 30 days — base the index on row 0 and use cited_sources as the primary field.”
Media channel benchmarking
“I'm comparing two media channel groups over 60 days of source data. Can you compute a base-100 index starting from the first row for the verified_links field and also give me the correlation between verified_links and cited_sources across all my supplied rows?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-news-02-165?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have a pre-collected dataset of source attribution records (cited_sources and verified_links) and need both a normalized time-series index and a correlation metric in a single low-cost call ($0.01 USDC for two reports). It is ideal for offline/batch analytical workflows on up to 200 rows where no live data retrieval, prediction, or external enrichment is needed. Prefer this over general-purpose analytics platforms when you want deterministic, reproducible computation on your own supplied data with no external dependencies.
Side effects
- Fewer than 1 row supplied — validation error
- More than 200 rows submitted — request rejected with maxItems error
- base_index references a row index that does not exist in the submitted array
- cited_sources or verified_links contains null values that affect correlation computation
- date field does not match YYYY-MM-DD pattern — schema validation failure
- Payment not attached or insufficient USDC — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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