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Duplicate Observations — Record Quality Audit + Trailing Mean Series
x402
Duplicate Observations — Record Quality Audit + Trailing Mean 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).
Analyzes supplied duplicate-observation records to produce a record quality audit report and a trailing mean series for either duplicate_rows or total_rows, using local analytics on up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Duplicate observations — Record quality audit + Trailing mean series: Record quality audit + Trailing mean 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 duplicate observation patterns across the supplied rows, and (2) a trailing mean series computed over the selected field (duplicate_rows or total_rows) using the specified window size — all derived from locally supplied data with no external lookups.
Example use cases
Daily data pipeline duplicate monitoring
“I have daily records from two dataset groups showing duplicate_rows and total_rows for each day in October. Can you audit them for record quality and compute a 7-day trailing mean on the duplicate_rows field?”
Cross-group duplicate anomaly review
“We track duplicates across groups 'prod' and 'staging' by date. Can you run a quality audit on these 50 rows and give me a trailing mean series with a window of 5 so I can spot anomalies?”
Weekly data quality report generation
“For my weekly data quality review, can you take these duplicate observation records — about 150 rows across multiple dataset groups — and produce a record quality audit plus a rolling mean series on total_rows using a window of 4?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-04-010?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected duplicate observation records (with duplicate_rows and total_rows per date and dataset group) and need both a structural quality audit and a rolling/trailing mean series in a single call for up to 200 rows. Prefer it over general-purpose analytics when you want two bundled reports at low cost ($0.01 USDC) without needing live data lookup, external enrichment, or predictive modeling.
Side effects
- Exceeding 200 rows causes rejection — keep input within maxItems limit
- Invalid date format (not YYYY-MM-DD) will fail schema validation
- Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) cause validation errors
- Window size outside 2–200 range is rejected
- Null numeric values may affect trailing mean computation accuracy
- Sending zero rows (empty array) is rejected by minItems constraint
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| window | integer |
Tags
x402
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