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Validation Rule Results — Duplicate Key Report + Daily Sum Series
x402
Validation Rule Results — Duplicate Key Report + 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 2026-10-14).
Detects duplicate row keys and computes a daily sum time series for passed_rules or total_rules fields in validation rule result records.
Price / call$0.01
Success—
StatusUnknown
How this service works
Validation rule results — Duplicate key report + Daily sum series: Duplicate key report + Daily sum series for supplied validation rule results records (passed_rules, total_rules). 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 a duplicate key report identifying any row_ids that appear more than once across the input records, plus a daily sum time series showing the aggregated value of the selected field (passed_rules or total_rules) for each date present in the input, up to 200 rows of input processed.
Example use cases
Daily passed-rules trend for data pipeline
“I have validation results from my ETL pipeline — can you check for any duplicate row IDs and show me the daily sum of passed_rules for each date? I'll give you the rows: row-1 on 2026-10-01 passed_rules=10 total_rules=1 group-a, row-2 on 2026-10-02 passed_rules=20 total_rules=2 group-b, row-3 on 2026-10-03 passed_rules=15 total_rules=3 group-a.”
Duplicate key audit for data quality records
“Run a duplicate key check on these validation rule result records and also give me a daily sum of total_rules over time — rows: row-4 on 2026-10-01 total_rules=5 passed_rules=3 group-x, row-4 on 2026-10-02 total_rules=8 passed_rules=6 group-x (note the repeated row-4 ID), and row-5 on 2026-10-03 total_rules=10 passed_rules=9 group-y.”
Multi-group rule compliance summary by day
“For these dataset groups' validation records, spot any duplicate row IDs and give me a daily sum series for passed_rules: row-10 on 2026-11-01 passed_rules=50 total_rules=60 group-finance, row-11 on 2026-11-01 passed_rules=30 total_rules=40 group-ops, row-12 on 2026-11-02 passed_rules=45 total_rules=55 group-finance.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-08-060?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to simultaneously detect duplicate row identifiers and compute a daily sum time series from validation rule result records (passed_rules or total_rules). It is purpose-built for data quality monitoring workflows where you want both a data integrity check and a time-aggregated view in one call, specifically for datasets that track how many rules passed versus how many were applied per day.
Side effects
- Input array is empty or missing — returns validation error
- row_id or date fields missing or malformed (date not matching YYYY-MM-DD) — schema rejection
- More than 200 rows submitted — request rejected due to maxItems constraint
- Invalid field enum value (not passed_rules or total_rules) — schema rejection
- Numeric values outside allowed range (-1e12 to 1e12) — schema rejection
- Network or payment failure — HTTP 402 or timeout
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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