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Schema Conformity — Exact Row Deduplication + Keyed Dataset Comparison
x402
Schema Conformity — Exact Row Deduplication + 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).
Deduplicates rows and compares two schema-conformity datasets (valid_records vs checked_records) to produce two independent analytical reports for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — Exact row deduplication + Keyed dataset comparison: Exact row deduplication + 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
Two independent analytical reports: (1) an exact-row deduplication report identifying which rows in each dataset are duplicates, and (2) a keyed dataset comparison report highlighting rows present in one dataset but not the other, or rows with differing valid_records/checked_records values for the same key. Both reports are computed locally with no external lookups.
Example use cases
Deduplicating daily conformity logs
“I have a daily schema conformity log for October 2026 with groups 'group-a' and 'group-b', and I suspect some rows got inserted twice. Can you deduplicate the dataset and show me which rows were exact duplicates? Here's the data with row_id, date, dataset_group, valid_records, and checked_records fields.”
Spotting drift between two pipeline runs
“We ran our schema validation pipeline twice this week and got slightly different counts in valid_records and checked_records across the same row_ids and dataset_groups. Can you do a keyed comparison of the two result sets and tell me exactly which rows differ and by how much?”
Reconciling conformity reports across teams
“Two teams submitted schema conformity reports for the same date range — same row_id and dataset_group keys but potentially different valid_records and checked_records values. Can you compare the two datasets key-by-key and flag any mismatches, plus deduplicate both sides first?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-053?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both exact-row deduplication and a keyed diff comparison on schema conformity data (valid_records, checked_records) in a single call at very low cost ($0.01 USDC for both reports, up to 200 rows). It is purpose-built for schema conformity tracking fields specifically, rather than general-purpose data diffing tools. Prefer it when you have structured conformity logs keyed by row_id, dataset_group, and date and want offline/local analytical processing with no external data access.
Side effects
- Input arrays exceed 200 rows — request rejected or truncated
- Missing required fields (row_id, dataset_group, date, valid_records, checked_records) cause validation errors
- Malformed date strings not matching YYYY-MM-DD pattern are rejected
- Numeric values outside ±1,000,000,000,000 range fail schema validation
- Empty rows array (minItems:1 violated) causes error
- Payment not completed via x402 protocol results in 402 response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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