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Structured Data Observations — Numeric Row Ordering + Two-Measure Correlation
x402
Structured Data Observations — Numeric Row Ordering + 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 2026-10-26).
Analyzes up to 200 rows of structured observation records by applying numeric row ordering and computing two-measure correlation between valid_items and total_items fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Structured data observations — Numeric row ordering + Two-measure correlation: Numeric row ordering + Two-measure correlation for supplied structured data observations records (valid_items, total_items). 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 independent analytical reports computed locally from the supplied rows: (1) a numeric row ordering report that ranks/sorts the rows by the selected measure, and (2) a two-measure correlation report quantifying the statistical relationship between valid_items and total_items. No external data is fetched; all computation uses shared local analytical engines.
Example use cases
Quality audit correlation check
“I have 50 rows of daily inspection data with valid_items and total_items counts per site group — can you order the rows numerically and tell me how correlated those two measures are with each other?”
Website inventory validity analysis
“Here are 120 rows of website inventory observations across group-a and group-b from October, each with a valid_items and total_items count — run the numeric row ordering and two-measure correlation reports on them using valid_items as the primary field.”
Learning resource usage ranking
“I've got 80 rows of learning resource usage records with valid_items and total_items per date and site group — can you rank them numerically by those values and compute how strongly valid_items and total_items correlate across all records?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-web-08-120?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of structured observation data with two numeric measures (valid_items, total_items) and need both a numeric row ordering and a correlation analysis in a single low-cost call ($0.01 USDC). It is ideal for offline/batch analytical passes on pre-collected datasets where no live lookup, external prediction, or human professional assessment is required. Prefer alternatives if you need more than 200 rows, more than two measures, time-series forecasting, or real-time data enrichment.
Side effects
- More than 200 rows submitted — endpoint rejects with a validation error
- Missing required row fields (row_id, date, valid_items, total_items) causes schema validation failure
- Date field not in YYYY-MM-DD format causes pattern validation error
- Null values in both numeric fields may produce undefined correlation result
- Invalid field enum value (not 'valid_items' or 'total_items') causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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