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Duplicate Observations Analytics: Quality Audit + Deduplication + Numeric Interval Filter
x402
Duplicate Observations Analytics: Quality Audit + Deduplication + Numeric Interval Filter is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-20).
Runs three local analytical reports on supplied duplicate-observation records: a record quality audit, exact row deduplication, and a numeric interval filter on duplicate_rows or total_rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Duplicate observations — Record quality audit + Exact row deduplication + Numeric interval filter: Record quality audit + Exact row deduplication + Numeric interval filter for supplied duplicate observations records (duplicate_rows, total_rows). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Returns three independent analytical reports for the supplied rows: (1) a record quality audit flagging missing, malformed, or anomalous values; (2) an exact row deduplication report identifying and removing identical rows; and (3) a numeric interval filter report listing rows where the chosen field (duplicate_rows or total_rows) falls within the specified minimum–maximum range. All computed locally with no external lookups.
Example use cases
Dataset deduplication audit for data pipeline
“I have a batch of 8 observation records from two dataset groups tracking duplicate and total row counts — can you run all three reports (quality audit, exact deduplication, and numeric interval filter) on them, filtering the duplicate_rows field between 5 and 50?”
Data quality check for ETL output
“After our nightly ETL run I've got records with dataset_group, date, duplicate_rows, and total_rows for each batch — please audit the record quality, deduplicate exact rows, and filter total_rows between 100 and 10000 for these 15 records.”
Monthly duplicate trend analysis by group
“I want to analyze duplicate observation counts across group-a and group-b for October 2026 — run the quality audit, deduplication, and interval filter on the 20 rows I'll supply, filtering duplicate_rows between 0 and 200.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-04-214?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a combined, lightweight, local-only analytical pass over a small-to-medium dataset (up to 200 rows) tracking duplicate and total row counts — specifically when you want all three capabilities (quality audit, deduplication, numeric filter) in a single low-cost call without any external API lookups or live data dependencies.
Side effects
- More than 200 rows supplied — request is rejected; split into batches of ≤200
- Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) cause validation errors
- Date fields not matching YYYY-MM-DD pattern are rejected
- minimum greater than maximum causes an invalid interval filter
- Null values for duplicate_rows or total_rows may be excluded from numeric filter report
- Payment of 0.01 USDC not completed causes request rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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