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Duplicate Observations — Record Quality Audit + Base-100 Series
x402
Duplicate Observations — Record Quality Audit + Base-100 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 Base-100 indexed series, covering up to 200 rows in two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Duplicate observations — Record quality audit + Base-100 series: Record quality audit + Base-100 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 duplication rates, anomalies, and group-level statistics across the supplied rows; and (2) a Base-100 indexed series for the chosen field (duplicate_rows or total_rows), normalized relative to the specified base row. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
Monthly duplicate rate quality audit
“I have 50 rows of dataset quality records spanning October 2026 — each row has a dataset group, a date, and counts of duplicate_rows and total_rows. Can you run a record quality audit and produce a Base-100 index on the duplicate_rows field, using row 0 as the base?”
Cross-group duplication trend comparison
“I want to compare duplication trends across group-a and group-b over the last quarter. I have 120 records with duplicate_rows and total_rows — can you run both the quality audit and the Base-100 series on total_rows, starting the index from row 0?”
Baseline-relative duplicate index for reporting
“For my weekly data quality report, can you take these 80 duplicate observation records across three dataset groups and generate the record quality audit plus a Base-100 series for duplicate_rows anchored to base index 0, so I can show normalized duplication trends over time?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-04-012?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected duplicate observation records (with duplicate_rows and total_rows columns) and need both a structured data quality audit AND a Base-100 normalized trend series in a single low-cost call. It is ideal for offline/batch analytical workflows where no live data lookup or external prediction is required, and when you want two complementary views (absolute quality audit + relative index) from the same dataset in one round trip.
Side effects
- Fewer than 1 or more than 200 rows submitted — request rejected
- Invalid date format (not YYYY-MM-DD) on any row — validation error
- base_index out of range (0–199) or beyond submitted row count — error
- null values in duplicate_rows or total_rows may affect index computation
- Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) — validation error
- Payment failure via x402 protocol — endpoint inaccessible
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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