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Schema Conformity — Trailing Mean Series + Two-Measure Correlation
x402
Schema Conformity — Trailing Mean 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 2026-10-14).
Computes a trailing moving average series and Pearson correlation between valid_records and checked_records for up to 200 schema conformity rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — Trailing mean series + Two-measure correlation: Trailing mean 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 trailing moving average series for the selected field (valid_records or checked_records) computed over the specified window size across all submitted rows, and (2) a Pearson or similar correlation coefficient between valid_records and checked_records across the dataset. No external data is fetched; all computation is local to the submitted rows.
Example use cases
Weekly data quality trend smoothing
“I have 90 days of schema conformity logs with valid_records and checked_records per dataset group — can you compute a trailing mean with a window of 7 on valid_records to smooth out daily noise and also show me the correlation between the two measures?”
Detecting correlation in validation pipeline output
“Analyze my pipeline's checked_records vs valid_records over the last 30 entries — give me the correlation between those two measures and a trailing mean series with window 3 on checked_records so I can spot trends.”
Multi-group conformity trend comparison
“I've got 120 rows of conformity records split across two dataset groups, group-alpha and group-beta, with dates and daily valid_records and checked_records counts — run the trailing mean (window 10) on valid_records and tell me how correlated the two measures are across the whole set.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-150?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have schema conformity tabular data (up to 200 rows) with valid_records and checked_records fields and need both a time-smoothed trailing average and a correlation statistic between the two measures in a single $0.01 call. Prefer it over general-purpose analytics when your data is pre-structured in this exact schema and you want two bundled reports without external API calls or live data lookups.
Side effects
- Fewer than 2 rows submitted — minimum row requirement not met
- Window size exceeds number of submitted rows — insufficient data for trailing mean
- Missing required fields (row_id, date, valid_records, checked_records) — validation error
- More than 200 rows submitted — exceeds maximum row limit
- Invalid date format (not YYYY-MM-DD) — pattern validation failure
- Non-numeric values in valid_records or checked_records — type coercion or rejection
- All values null for selected field — unable to compute mean series
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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