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Duplicate Observations — Grouped Numeric Summary + Adjacent Row Changes
x402
Duplicate Observations — Grouped Numeric Summary + Adjacent Row Changes is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).
Analyzes supplied duplicate-observation records to produce two local analytical reports: a grouped numeric summary and an adjacent row changes report, for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Duplicate observations — Grouped numeric summary + Adjacent row changes: Grouped numeric summary + Adjacent row changes 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 computed locally on the supplied rows: (1) a grouped numeric summary — aggregated statistics (e.g. count, mean, min, max) for the chosen field (duplicate_rows or total_rows) broken down by dataset_group; and (2) an adjacent row changes report — row-over-row delta values for the chosen field, showing how the metric changes between consecutive records. No external lookups or predictions are made.
Example use cases
Data quality audit by category
“I have 150 records with dataset groups like 'group-a' and 'group-b', each with a date, duplicate_rows, and total_rows — can you give me a grouped numeric summary and show how duplicate_rows changes between adjacent rows so I can spot where quality is degrading?”
Time-series duplicate spike detection
“Here are my daily duplicate observation records across two dataset groups from October 2026 — run the adjacent row changes report on duplicate_rows so I can see exactly which dates had the biggest jumps or drops in duplicates.”
Comparing duplicate rates across dataset groups
“I want to compare how duplicate_rows is distributed across my dataset groups — can you produce a grouped numeric summary of the total_rows field across all groups from my supplied 80-row dataset?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-04-091?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected duplicate observation records (up to 200 rows) and need both a grouped aggregate summary and a row-over-row change analysis in a single low-cost call ($0.01 USDC). It is ideal for offline/batch data quality audits where no live data retrieval, external prediction, or professional assessment is needed — just local statistical computation on supplied data.
Side effects
- Fewer than 1 or more than 200 rows submitted — request rejected
- Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) — validation error
- Invalid date format (not YYYY-MM-DD) — schema validation failure
- Null or out-of-range numeric values may produce incomplete aggregates
- Unrecognized field enum value other than 'duplicate_rows' or 'total_rows' — error
- Payment of 0.01 USDC not completed — 402 Payment Required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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