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Schema Conformity — Duplicate Key Report + Category Frequencies
x402
Schema Conformity — Duplicate Key Report + 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 2026-10-15).
Analyzes up to 200 schema conformity records to produce two reports: a duplicate key report and category frequency breakdown for valid_records and checked_records fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — Duplicate key report + Category frequencies: Duplicate key report + Category frequencies 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 duplicate key report identifying any row_id values that appear more than once across the submitted rows, and (2) a category frequency table showing how often each dataset_group value appears, along with aggregate counts related to valid_records and checked_records. Results cover up to 200 input rows with no external lookups performed.
Example use cases
Duplicate key audit for validation pipeline
“I have a batch of 150 schema conformity records from our validation pipeline, each with a row_id, dataset_group, date, valid_records, and checked_records. Can you run a duplicate key report to find any repeated row_ids and also show me how frequently each dataset_group appears?”
Category frequency analysis for multi-group dataset
“We have conformity tracking data across four dataset groups logged daily for the past month — about 120 rows total with valid_records and checked_records counts. Can you produce category frequency counts for each group and flag any duplicate row IDs?”
Data quality spot-check before pipeline merge
“Before we merge our schema conformity logs, I want to check for duplicate keys and see the breakdown of how many records fall into each dataset_group category. Here are 80 rows with row_id, dataset_group, date, valid_records, and checked_records — can you run both reports?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-057?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have structured schema conformity records with valid_records and checked_records fields and need both a duplicate key audit and a category frequency breakdown in a single call. It is purpose-built for local analytical computation on supplied data — no external data sources, predictions, or live lookups are involved. Prefer it over general analytics tools when you need these two specific reports together cost-effectively for batches up to 200 rows.
Side effects
- Input array exceeds 200 rows — request rejected or truncated
- Missing required fields (row_id, dataset_group, date, valid_records, checked_records) cause row-level errors
- Invalid date format (not YYYY-MM-DD) triggers validation failure
- Numeric values outside allowed range (-1T to +1T) rejected
- Empty rows array returns no results
- Malformed JSON body causes parse error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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