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Schema Conformity Analytics — Record Quality Audit, Exact Row Deduplication & Category Frequencies
x402
Schema Conformity Analytics — Record Quality Audit, Exact Row Deduplication & Category Frequencies 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 three local analytical reports on schema conformity data (valid_records, checked_records): a record quality audit, exact row deduplication, and category frequency breakdown — all for up to 200 rows in a single call.
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — Record quality audit + Exact row deduplication + Category frequencies: Record quality audit + Exact row deduplication + Category frequencies for supplied schema conformity records (valid_records, checked_records). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Returns three independent analytical reports: (1) a record quality audit summarizing completeness and validity of each row's fields, (2) an exact row deduplication report identifying identical rows, and (3) category frequency counts broken down by dataset_group — all computed locally without external lookups.
Example use cases
Pipeline data quality audit
“I have 120 rows of schema conformity data from our ETL pipeline — each row has a row_id, dataset_group, date, valid_records, and checked_records. Can you audit the record quality, flag any exact duplicate rows, and show me frequency counts per dataset_group?”
Deduplication check before reporting
“Before I send this conformity report to my team, can you check these 80 rows for exact duplicates and also give me a quality audit? The rows have fields for row_id, dataset_group, date, valid_records, and checked_records.”
Category frequency analysis for schema groups
“I want to understand how my schema validation records are distributed across dataset groups. Can you take these 200 rows — with row_id, dataset_group, date, valid_records, and checked_records — and give me the category frequencies along with a quality audit and duplicate check?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-212?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three bundled analytical reports — quality audit, deduplication, and frequency analysis — on schema conformity tracking data (valid_records and checked_records fields) in a single low-cost call. It is ideal for data pipeline QA workflows, pre-report data hygiene checks, and governance dashboards where you want offline, deterministic analysis with no external data access. Prefer it over separate single-report endpoints when all three report types are needed simultaneously to save cost and latency.
Side effects
- Exceeding 200 rows returns an error — input must be trimmed to the limit
- Missing required fields (row_id, dataset_group, date, valid_records, checked_records) on any row may cause validation failure
- Malformed date strings not matching YYYY-MM-DD pattern will be flagged or rejected
- Null numeric values are accepted but may affect quality audit scoring
- Empty row array (minItems: 1 violated) will return an error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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