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Schema Conformity Analytics — String Normalisation & Grouped Numeric Summary
x402
Schema Conformity Analytics — String Normalisation & Grouped Numeric Summary 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 on schema conformity records: string normalisation of row/group identifiers and a grouped numeric summary of valid_records or checked_records values across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — String normalisation + Grouped numeric summary: String normalisation + Grouped numeric summary 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 independent analytical reports: (1) a string normalisation report covering row_id and dataset_group fields, cleaning and standardising label formats; and (2) a grouped numeric summary aggregating the selected field (valid_records or checked_records) across dataset_group values, including counts, totals, and descriptive statistics — all computed locally with no external data lookups.
Example use cases
Daily data quality pipeline review
“I have 50 rows of schema conformity results from today's pipeline run — each row has a row_id, dataset_group, date, valid_records, and checked_records. Can you run the string normalisation and grouped numeric summary on them, focusing the numeric summary on valid_records?”
Comparing checked records across groups
“I need a grouped numeric summary comparing checked_records across my dataset groups for this week's conformity scan — I'll supply about 120 rows with row IDs, group names, and dates. Can you normalise the group names and give me the summary report?”
Audit report for data governance team
“For our monthly data governance audit, can you take these 80 schema conformity records with valid_records and checked_records counts, run the string normalisation on the identifiers, and produce a grouped numeric summary by dataset_group so we can spot which groups are underperforming?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-023?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalisation of dataset identifiers and grouped numeric aggregation of schema conformity metrics (valid_records or checked_records) in a single API call for up to 200 rows. It is ideal for data quality pipelines, governance audits, or batch analytics on conformity scan outputs where no external lookup, prediction, or live data is required. Prefer it over generic analytics tools when your data already follows the schema conformity record structure with row_id, dataset_group, date, valid_records, and checked_records fields.
Side effects
- More than 200 rows submitted — request rejected or truncated
- Missing required fields (row_id, date, valid_records, checked_records) on any row — validation error
- date field does not match YYYY-MM-DD pattern — schema validation failure
- field enum value not one of valid_records or checked_records — rejected
- All numeric values are null — summary may return empty or degenerate statistics
- row_id exceeds 80 characters — schema validation error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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