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Schema Conformity Analytics — String Normalisation & Trailing Mean Series
x402
Schema Conformity Analytics — String Normalisation & Trailing Mean Series 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).
Runs two local analytical reports (string normalisation and trailing mean series) on schema conformity data (valid_records, checked_records) for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — String normalisation + Trailing mean series: String normalisation + Trailing mean series 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 string-normalised view of the supplied schema conformity rows, and (2) a trailing mean series computed over the chosen field (valid_records or checked_records) with the specified window size, covering up to 200 rows across all submitted dataset groups and dates.
Example use cases
Daily data quality trend monitoring
“Run the trailing mean series on my schema conformity records for the past week — I've got 7 rows for group-alpha with valid_records ranging from 80 to 150 and checked_records around 200 each day, using a window of 3 and tracking valid_records.”
Multi-group conformity normalisation audit
“I need the string normalisation report on my schema conformity data — I have 10 rows across dataset groups 'prod', 'staging', and 'dev' from 2025-01-01 to 2025-01-10, with valid_records and checked_records filled in, field set to checked_records and window of 2.”
Batch QA pipeline conformity analysis
“Analyze these 50 schema conformity records from our QA pipeline — groups are 'ingest' and 'transform', dates run from 2025-06-01 to 2025-07-20, valid_records and checked_records are both populated, please use valid_records as the field and window size 5 for the trailing mean.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-028?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two lightweight, local analytical passes — string normalisation and trailing mean series — on schema conformity data (valid/checked record counts) for up to 200 rows, without any live lookup or external data enrichment. Ideal for batch data quality pipelines, recurring conformity audits, and time-series trend detection on already-collected metrics at very low cost ($0.01 per call for both reports).
Side effects
- More than 200 rows submitted — request rejected or truncated
- Invalid date format (not YYYY-MM-DD) — validation error
- Missing required fields (row_id, date, valid_records, checked_records) — schema rejection
- Window size outside range 2–200 — validation error
- All numeric values null — trailing mean series may be empty or undefined
- Payment not included or insufficient — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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