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Schema Conformity Analytics — Base-100 Series + Keyed Dataset Comparison
x402
Schema Conformity Analytics — Base-100 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 2026-10-18).
Computes a Base-100 index series and a keyed dataset comparison for schema conformity metrics (valid_records vs checked_records) across up to 200 rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — Base-100 series + Keyed dataset comparison: Base-100 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 independent analytical reports: (1) a Base-100 index series showing relative movement of the selected field (valid_records or checked_records) across rows/groups, normalized to 100; and (2) a keyed dataset comparison report contrasting the primary dataset against the supplied comparison dataset row-by-row or group-by-group. All computation is local with no external lookups.
Example use cases
Monthly data quality trend indexing
“I have my schema conformity logs for Q3 and Q4 with valid_records and checked_records per dataset group — can you produce a base-100 indexed series and compare the two quarters side by side using valid_records as the target field?”
Cross-team dataset conformity benchmarking
“We have schema validation results from two different engineering teams, each with row_id, dataset_group, date, valid_records, and checked_records — run a base-100 series plus a keyed comparison on checked_records to see where the teams diverge.”
Pre- and post-migration schema health check
“Can you analyze our schema conformity data before and after last month's migration? I'll give you two sets of records with valid_records and checked_records by group — I want a base-100 index series and a keyed comparison on valid_records to spot regressions.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-168?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need dual analytical outputs — a Base-100 trend series AND a keyed comparison — on schema conformity metrics (valid_records, checked_records) in a single $0.01 call. Ideal for data quality engineers who want to benchmark two time periods or dataset groups without spinning up their own analytics infrastructure. Prefer this over single-report endpoints when both a normalized index view and a direct dataset comparison are needed simultaneously.
Side effects
- Missing required fields (row_id, dataset_group, date, valid_records, checked_records) cause validation errors
- Exceeding 200 rows returns an error — split into smaller batches
- Invalid date format (must be YYYY-MM-DD) causes rejection
- Null values in both valid_records and checked_records may produce incomplete index calculations
- Mismatched row_ids between primary and comparison datasets may result in unmatched keyed comparisons
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| base_index | integer |
Tags
x402
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