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Duplicate Observations Record Quality Audit and Daily Sum Series
x402
Duplicate Observations Record Quality Audit and 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).
Runs two local analytical reports on supplied duplicate-observation records: a record quality audit and a daily sum series, across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Duplicate observations — Record quality audit + Daily sum series: Record quality audit + Daily sum series for supplied duplicate observations records (duplicate_rows, total_rows). 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 record quality audit summarizing the integrity and patterns in the supplied duplicate observation records, and (2) a daily sum series aggregating the chosen numeric field (duplicate_rows or total_rows) by date, both computed locally without external lookups.
Example use cases
Daily duplicate spike detection
“I have a week of observation records for two dataset groups and I want to know if any days had abnormal spikes in duplicate rows — can you run a record quality audit and daily sum series on these 7 rows using the duplicate_rows field?”
Total row volume trend analysis
“Run a daily sum series on my observation dataset — I have 50 rows across three dataset groups with dates from 2025-01-01 to 2025-02-19, and I want to analyze the total_rows field to see volume trends over time.”
Multi-group data quality review
“Our data team needs a quality audit on duplicate observation records across our three reporting groups — can you analyze these 120 rows for both a record quality audit and a daily sum, focused on duplicate_rows?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-04-009?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two simultaneous local analytical reports — a record quality audit and a daily sum series — on duplicate observation data without any external data lookups or live predictions. Ideal for data governance workflows, ETL pipeline auditing, or batch quality checks on up to 200 records at $0.01 USDC per call.
Side effects
- More than 200 rows submitted — request exceeds maxItems limit and will be rejected
- Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) cause validation errors
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- Numeric values outside allowed range cause rejection
- Empty rows array (minItems: 1 violated) returns an error
- Invalid field enum value (not 'duplicate_rows' or 'total_rows') causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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