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Duplicate Observations Numeric Distribution and Adjacent Row Changes Analyzer
x402
Duplicate Observations Numeric Distribution and Adjacent Row Changes Analyzer 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 supplied duplicate-observation records, producing two independent reports: a numeric distribution analysis and an adjacent row change analysis for duplicate_rows or total_rows fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Duplicate observations — Numeric distribution + Adjacent row changes: Numeric distribution + 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 for the submitted rows: (1) a numeric distribution report showing statistical spread, min, max, mean, and distribution characteristics of the selected field (duplicate_rows or total_rows), and (2) an adjacent row changes report quantifying the delta between consecutive rows in the ordered dataset. All analysis is performed locally on the supplied data with no external lookups.
Example use cases
Data pipeline duplicate spike detection
“I have a list of daily pipeline run records with duplicate_rows and total_rows counts per dataset group. Can you analyze the numeric distribution and flag where duplicate_rows changes significantly between adjacent rows? Here are 80 records, analyze the duplicate_rows field.”
Dataset group quality audit
“I want to audit duplicate row counts across my dataset groups over the past quarter. Run a numeric distribution report and an adjacent row changes report on these 150 records, focusing on the total_rows field so I can see how dataset size shifts day to day.”
Anomaly triage for data ingestion logs
“We've been tracking duplicate_rows and total_rows in our ingestion logs and I suspect there are some anomalous jumps. Can you analyze these 60 records — numeric distribution plus adjacent row changes — for the duplicate_rows field so I can see where things went off?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-04-077?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have pre-collected duplicate observation records and need two complementary offline analytical views — numeric distribution and adjacent row changes — in a single low-cost call. It is ideal for data quality pipelines, ingestion monitoring, and audit workflows where the data is already available locally and no live lookup or prediction is required. At $0.01 USDC for both reports on up to 200 rows, it is cost-effective for batch profiling tasks.
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) cause validation errors
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Field selector not one of 'duplicate_rows' or 'total_rows' causes enum validation failure
- Null values in the selected numeric field may affect distribution completeness
- Values outside the min/max numeric bounds cause schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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