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Duplicate Observations — Record Quality Audit + Secondary-Measure Weighted Mean
x402
Duplicate Observations — Record Quality Audit + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-10).
Runs two local analytical reports on supplied duplicate-observation records: a record quality audit and a secondary-measure weighted mean, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Duplicate observations — Record quality audit + Secondary-measure weighted mean: Record quality audit + Secondary-measure weighted mean 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
Two analytical reports generated locally: (1) a record quality audit assessing the supplied duplicate observation rows for quality issues such as anomalous ratios or missing values, and (2) a weighted mean computation on the selected field (duplicate_rows or total_rows) across the supplied rows, grouped as appropriate. No external data is fetched; all analysis is performed on the provided input rows.
Example use cases
ETL pipeline data quality check
“I just ran an ETL job and ended up with these duplicate row counts across 5 dataset groups. Can you audit the record quality and give me a weighted mean of duplicate_rows for these observations: row-1 (group-sales, 2026-11-01, 50 duplicate_rows, 200 total), row-2 (group-finance, 2026-11-02, 30 duplicate_rows, 150 total), row-3 (group-sales, 2026-11-03, 20 duplicate_rows, 100 total)?”
Weekly deduplication summary report
“Every week I track duplicates across my datasets. Here are this week's records — row-A (team-alpha, 2026-10-07, 5 duplicate_rows, 500 total), row-B (team-beta, 2026-10-08, 12 duplicate_rows, 300 total), row-C (team-alpha, 2026-10-09, 8 duplicate_rows, 400 total) — please run a quality audit and weighted mean on the total_rows field.”
Multi-group dataset integrity audit
“I need to audit the integrity of duplicate records across three dataset groups before a data migration. Can you give me a record quality audit and a weighted mean report on these rows using the duplicate_rows field: row-1 (group-x, 2026-09-15, 100 duplicate_rows, 1000 total), row-2 (group-y, 2026-09-16, 50 duplicate_rows, 500 total), row-3 (group-z, 2026-09-17, 200 duplicate_rows, 2000 total)?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-04-016?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two simultaneous analytical reports — a record quality audit and a weighted mean — on a batch of up to 200 duplicate-observation records, entirely from supplied data with no external lookups. It is ideal for data quality pipelines, deduplication monitoring workflows, and dataset integrity audits where you already have the duplicate_rows and total_rows counts and want structured statistical summaries at low cost ($0.01 USDC for both reports).
Side effects
- Input array is empty or exceeds 200 rows — rejected with validation error
- Required fields (row_id, dataset_group, date, duplicate_rows, total_rows) missing from any row — schema validation failure
- Date field does not match YYYY-MM-DD format — pattern validation error
- Numeric fields out of supported range (±1,000,000,000,000) — validation rejection
- Invalid field enum value (not 'duplicate_rows' or 'total_rows') — rejected
- Payment not provided or insufficient — x402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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