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Duplicate Observations Analytics — Daily Sum Series + Equal-Width Histogram
x402
Duplicate Observations Analytics — Daily Sum Series + 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).
Generates two local analytical reports (daily sum time series and equal-width histogram) for supplied duplicate-observation records with duplicate_rows and total_rows fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Duplicate observations — Daily sum series + Equal-width histogram: Daily sum series + 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 computed locally on the supplied data: (1) a daily sum time series aggregating the chosen field (duplicate_rows or total_rows) by date, and (2) an equal-width histogram with the specified number of bins (1–30) showing the distribution of values across all supplied rows. No external data is fetched; all computation is performed on the provided records.
Example use cases
Daily duplicate trend for data pipeline audit
“I have 120 records from my ETL pipeline audit, each with a date, dataset_group, duplicate_rows, and total_rows. Can you generate a daily sum series and a 5-bin histogram on the duplicate_rows field so I can see where duplicates are spiking over time?”
Data quality report for multiple dataset groups
“Here are 80 data quality log entries across two groups — group-alpha and group-beta — with dates ranging over the last quarter. Give me the daily sum series and an equal-width histogram with 8 bins on total_rows so I can compare duplicate rates.”
Histogram distribution of duplicate rows for QA review
“I need to understand the distribution of duplicate_rows across our ingestion records for October. I have 60 entries with row_id, date, dataset_group, duplicate_rows, and total_rows — please run a daily sum series and a 10-bin equal-width histogram on duplicate_rows.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-04-139?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular duplicate-observation data (with duplicate_rows and total_rows per dated record) and need both a time-series daily sum and a histogram distribution computed offline without any external lookups. It is ideal for data quality audits, ETL pipeline monitoring, or QA reviews where you want two complementary statistical views in a single cheap call ($0.01 USDC for up to 200 rows).
Side effects
- Missing required fields (row_id, date, duplicate_rows, total_rows) causes validation error
- Date values not matching YYYY-MM-DD pattern are rejected
- Exceeding 200 rows in the rows array returns an error
- Invalid bins value outside 1–30 range is rejected
- Null numeric values in duplicate_rows or total_rows may affect aggregation output
- Empty rows array (minItems: 1 not met) returns validation failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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