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Duplicate Observations — Adjacent Row Changes + Equal-Width Histogram
x402
Duplicate Observations — Adjacent Row Changes + Equal-Width Histogram 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).
Analyzes duplicate observation records by generating two local reports: an adjacent row change analysis and an equal-width histogram, for up to 200 rows of duplicate_rows/total_rows data.
Price / call$0.01
Success—
StatusUnknown
How this service works
Duplicate observations — Adjacent row changes + Equal-width histogram: Adjacent row changes + Equal-width histogram 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 analytical reports: (1) an adjacent row changes analysis showing how duplicate_rows or total_rows values shift between consecutive records, and (2) an equal-width histogram distributing the selected field's values across the configured number of bins — all computed locally with no external lookups.
Example use cases
Data quality audit over time
“I have a week of daily duplicate row counts across two dataset groups and want to see how the duplicates changed between consecutive days and how they're distributed — run the adjacent row changes and histogram analysis on my duplicate_rows field with 5 bins.”
Histogram spike detection in ETL pipeline
“My ETL pipeline logs duplicate_rows and total_rows for each batch — can you bin those duplicate_rows values into 10 equal-width buckets and also show me where the biggest jumps happened between adjacent records? I have about 50 rows to analyze.”
Comparing duplicate trends across dataset groups
“I've got 200 records tracking duplicate_rows and total_rows across several dataset groups and dates — generate both the adjacent row change report and a 7-bin equal-width histogram so I can spot which groups have the worst duplicate patterns.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-04-156?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two simultaneous analytical views — sequential change detection and distribution binning — on duplicate observation records without any external data dependencies. It is ideal for lightweight data quality monitoring workflows where you want both trend and distribution insights in a single $0.01 call on up to 200 rows.
Side effects
- Fewer than 1 row or more than 200 rows submitted — request rejected
- Invalid date format (not YYYY-MM-DD) — validation error
- bins value outside 1–30 range — rejected
- Null values in duplicate_rows or total_rows may affect computation accuracy
- Unsupported field name not in enum [duplicate_rows, total_rows] — schema validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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