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Schema Conformity Record Quality Audit + Base-100 Series
x402
Schema Conformity Record Quality Audit + Base-100 Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-13).
Runs a record quality audit and a Base-100 index series on up to 200 rows of schema conformity data (valid_records, checked_records), returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — Record quality audit + Base-100 series: Record quality audit + Base-100 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 independent reports: (1) a record quality audit summarizing conformity metrics (e.g. validity rates, counts, distributions) across the supplied rows, and (2) a Base-100 indexed series for the selected field (valid_records or checked_records) normalized relative to the specified base row. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Weekly conformity audit across pipeline stages
“I have a week's worth of schema conformity records across two pipeline groups with daily valid_records and checked_records counts — can you run a record quality audit and Base-100 series on all 7 rows using valid_records as the field, starting the base at index 0?”
Comparing checked_records trends across groups
“Run a quality audit and Base-100 index analysis on my 20 rows of schema conformity data using checked_records as the field and row index 5 as the base, so I can see how checking volume has trended relative to that day.”
One-off data quality snapshot for reporting
“I need two analytical reports — a record quality audit and a Base-100 series — for 50 schema conformity rows I have from October, using valid_records and baseline at index 0, so I can include the stats in my monthly data quality report.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-012?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 rows of schema conformity data with valid_records and checked_records counts and need both a record quality audit and a Base-100 normalized time series in a single low-cost call ($0.01 USDC). It is ideal for offline/batch analytical reporting where no live data lookup, prediction, or external enrichment is needed — just local computation on your supplied data.
Side effects
- Rows array is empty or missing — API returns validation error
- More than 200 rows supplied — rejected with maxItems error
- base_index out of range (0–199) — returns validation error
- valid_records or checked_records contain non-numeric values — may cause computation errors
- date fields not in YYYY-MM-DD format — schema validation failure
- Missing required fields (row_id, date, valid_records, checked_records) on any row — rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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