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Schema Conformity — Trailing Mean Series + Keyed Dataset Comparison
x402
Schema Conformity — Trailing Mean Series + 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 2026-10-14).
Computes a trailing mean time series and performs a keyed dataset comparison for schema conformity metrics (valid_records, checked_records) across up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — Trailing mean series + Keyed dataset comparison: Trailing mean series + Keyed dataset comparison 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 mean time series for the selected field (valid_records or checked_records) across the primary dataset, and (2) a keyed dataset comparison between the primary and secondary datasets — both computed locally without external lookups, for up to 200 rows total.
Example use cases
Data quality trend monitoring
“I have two months of daily schema validation logs — each row has a date, dataset_group, valid_records, and checked_records. Can you compute the trailing mean of valid_records over time and compare this month's data against last month's by key?”
Cross-team conformity comparison
“Compare schema conformity between our two pipeline teams: I'll give you team-A's daily records and team-B's daily records (about 60 rows each), and I need a trailing mean series plus a keyed comparison on the checked_records field.”
Regression detection after schema change
“We deployed a schema change last week and I want to see if conformity dropped — please run a trailing mean series and keyed dataset comparison on valid_records using our pre-change and post-change daily conformity records, around 30 rows each.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-153?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have schema conformity data with valid_records and checked_records fields and need both a trailing mean time series and a keyed dataset comparison in a single call. It is best suited for small-to-medium datasets (up to 200 rows) where no external data lookup or prediction is needed — pure local computation on your supplied data. Cost-effective at $0.01 for two reports simultaneously.
Side effects
- Missing required fields (row_id, dataset_group, date, valid_records, checked_records) causes validation error
- More than 200 rows submitted returns an error or truncated result
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Numeric values outside ±1,000,000,000,000 range rejected
- Empty rows array rejected (minItems: 1)
- Field selector not one of 'valid_records' or 'checked_records' causes enum validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| window | integer |
Tags
x402
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