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Duplicate Observations — Record Quality Audit + Keyed Dataset Comparison
x402
Duplicate Observations — Record Quality Audit + Keyed Dataset Comparison is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).
Analyzes up to 200 duplicate-observation records to produce two independent reports: a record quality audit and a keyed dataset comparison of duplicate/total row counts across dataset groups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Duplicate observations — Record quality audit + Keyed dataset comparison: Record quality audit + Keyed dataset comparison 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 rates, anomalies, and quality flags across the supplied rows; and (2) a keyed dataset comparison showing differences in duplicate_rows and total_rows between the primary and secondary datasets, broken down by row_id, dataset_group, and date. No external lookups or live data are used — all analysis is performed locally on the supplied data.
Example use cases
ETL pipeline duplicate rate audit
“I just ran an ETL job and want to audit duplicate rows. Can you check these 50 records — each has a row_id, dataset_group, date, duplicate_rows, and total_rows — and give me a quality report flagging any groups with unusually high duplicate rates?”
Pre/post dedup dataset comparison
“I have two versions of my dataset — before and after deduplication — both with up to 200 rows keyed by row_id, dataset_group, and date. Can you compare them side by side and tell me where the duplicate counts changed most significantly?”
Multi-group duplicate trend review
“We have daily duplicate observation data across four dataset groups from October 2026. Can you analyze both our primary and reference datasets and produce a quality audit showing which groups and dates have the worst duplicate ratios?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-04-018?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need offline, locally-computed quality analysis of duplicate observation records without any live data lookup or external enrichment. It is ideal when you have two parallel datasets keyed by row_id and dataset_group and want both a standalone quality audit and a side-by-side keyed comparison in a single $0.01 call. Prefer this over manual analysis or heavier data pipeline tools when you have ≤200 rows and want a fast, cheap, reproducible report on duplicate row metrics.
Side effects
- Input array exceeds 200 rows — request rejected
- Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) — validation error
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- duplicate_rows or total_rows out of allowed numeric range — rejected
- Empty rows array — minimum 1 item required
- Payment not included or insufficient — x402 payment required error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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