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Schema Conformity — Base-100 Series + Two-Measure Correlation
x402
Schema Conformity — 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 2026-10-18).
Computes a Base-100 index series and a two-measure Pearson/rank correlation report for schema conformity data (valid_records vs checked_records) over up to 200 supplied rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — Base-100 series + Two-measure correlation: Base-100 series + Two-measure correlation for supplied schema conformity records (valid_records, checked_records). 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) a Base-100 indexed series for the chosen field (valid_records or checked_records) relative to the specified base row index, and (2) a two-measure correlation analysis between valid_records and checked_records across all supplied rows. Both reports are computed locally from the provided data with no external data lookups.
Example use cases
Weekly data pipeline quality trending
“I have a week's worth of schema validation results — 7 rows with dates, dataset groups, and counts of valid vs checked records. Can you rebase the valid_records as a Base-100 series starting from day 1 and also tell me how correlated valid_records and checked_records are across those rows?”
Cross-group conformity comparison
“I've got 50 rows of schema conformity data split across three dataset groups with daily dates. Please index the checked_records field to Base-100 from row 0 and run the two-measure correlation between valid_records and checked_records so I can see which groups are moving together.”
Regulatory audit data quality report
“For our audit prep I need to analyze 120 schema conformity records — each has a row_id, date, dataset_group, valid_records, and checked_records. Run a Base-100 series on valid_records anchored to the first row and compute the correlation between valid_records and checked_records across all 120 rows.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-165?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have already-collected schema conformity data (valid_records and checked_records per row) and need both a rebased trend index and a correlation statistic in a single call, without requiring any external data lookup or live API integration. It is ideal for lightweight, offline-style analytical reporting on data quality logs at low cost ($0.01 per call for up to 200 rows).
Side effects
- Missing required fields (row_id, date, valid_records, checked_records) cause validation errors
- Date strings not matching YYYY-MM-DD pattern are rejected
- More than 200 rows submitted returns a schema error
- base_index pointing to a row with null values may produce undefined base normalization
- Null values in both measure columns may degrade correlation output
- Payment of 0.01 USDC not received or x402 auth failure blocks the response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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