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Schema Conformity Analytics: Exact Row Deduplication + Daily Sum Series
x402
Schema Conformity Analytics: Exact Row Deduplication + Daily Sum Series 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 exact rows and computes daily sum time series for schema conformity records (valid_records, checked_records) across up to 200 input rows, returning two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Schema conformity — Exact row deduplication + Daily sum series: Exact row deduplication + Daily sum series 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 for the supplied schema conformity rows: (1) an exact row deduplication report identifying and removing fully duplicate rows, and (2) a daily sum time series for the selected metric field (valid_records or checked_records), aggregated by date across all dataset groups. Both reports are computed locally without external lookups or predictions.
Example use cases
Daily data quality trend analysis
“I have a week of schema conformity logs across two dataset groups with valid_records and checked_records per day — please deduplicate any exact duplicate rows and then give me a daily sum series for valid_records so I can see the trend.”
Deduplicating conformity audit exports
“My data pipeline is producing duplicate entries in the conformity audit — can you take these rows (each with a row_id, date, dataset_group, valid_records, and checked_records) and deduplicate them exactly, then show me the daily sum of checked_records?”
Comparing valid vs checked records over time
“I've got about 150 schema conformity records spanning October, and I want to deduplicate exact rows and get a daily aggregated sum for checked_records grouped by day — can you run both reports at once?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-02-044?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have schema conformity tracking data (valid_records, checked_records per date and dataset group) and need both exact deduplication and a daily sum time series in a single low-cost call. It is ideal for data quality pipelines that accumulate duplicate log entries and require per-day aggregation without needing external enrichment, predictions, or live data. At $0.01 for two reports on up to 200 rows, it is cost-effective for routine data hygiene and trend reporting tasks.
Side effects
- Missing required fields (row_id, date, valid_records, checked_records) cause validation errors
- Date strings not matching YYYY-MM-DD pattern are rejected
- Exceeding 200 rows returns an error or truncation
- Null numeric values are handled but may affect aggregation results
- Invalid field selector (not 'valid_records' or 'checked_records') causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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