Schema Conformity Analytics: Record Quality Audit + Deduplication + Equal-Width Histogram 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 — a record quality audit, exact row deduplication, and equal-width histogram — for up to 200 rows of valid_records/checked_records data.
Schema conformity — Record quality audit + Exact row deduplication + Equal-width histogram: Record quality audit + Exact row deduplication + Equal-width histogram 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.
Three independent analytical reports returned together: (1) a record quality audit summarizing completeness and validity of the supplied rows, (2) an exact row deduplication report identifying and flagging duplicate rows, and (3) an equal-width histogram of either the valid_records or checked_records field across the specified number of bins — all computed locally against the supplied data with no external lookups.
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-219?utm_source=zero.xyzChoose this endpoint when you need three complementary data quality reports (audit, dedup, histogram) in a single low-cost call against locally supplied schema conformity data (valid_records, checked_records). It is ideal for pipelines that periodically validate conformity metrics before reporting, where no external data enrichment or live lookup is needed and cost-efficiency matters (all three reports for $0.01 USDC). Prefer alternatives if you need fuzzy deduplication, statistical inference, or analysis of fields beyond valid_records and checked_records.
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
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