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Duplicate Observations — Grouped Numeric Summary + Equal-Width Histogram
x402
Duplicate Observations — Grouped Numeric Summary + 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 2026-10-15).
Analyzes duplicate observation records by producing a grouped numeric summary and an equal-width histogram for either the duplicate_rows or total_rows field, across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Duplicate observations — Grouped numeric summary + Equal-width histogram: Grouped numeric summary + 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) a grouped numeric summary breaking down statistics for the chosen field (duplicate_rows or total_rows) segmented by dataset_group, and (2) an equal-width histogram with the specified number of bins showing the frequency distribution of values across all supplied rows.
Example use cases
Data quality audit by dataset group
“I have 150 records from our nightly data quality check, each with a dataset_group, date, duplicate_rows, and total_rows. Can you group them and give me a numeric summary plus a 10-bin histogram of the duplicate_rows field so I can see which groups have the worst duplication?”
Monitoring duplicate trends over time
“Here are 80 daily duplicate observation records across three dataset groups from last quarter. Run a grouped numeric summary and a 7-bin equal-width histogram on the total_rows field so I can spot any anomalies.”
Comparing duplication rates before and after dedup pipeline
“I've got two batches of duplicate observation rows — before and after running our deduplication pipeline — labeled as group-a and group-b respectively. Give me a grouped summary and a 5-bin histogram on duplicate_rows so I can see how much the pipeline helped.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-04-093?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a grouped breakdown and a histogram view of duplicate observation metrics in a single call, especially when working with up to 200 rows of pre-collected data quality records that include group labels and dates. It is ideal for data quality workflows where you want descriptive statistics segmented by dataset group alongside a distribution view — without needing external lookups or predictions.
Side effects
- Missing required fields (row_id, dataset_group, date, duplicate_rows, total_rows) cause validation errors
- Rows array exceeding 200 items is rejected
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- bins value outside 1–30 range is rejected
- Null values in numeric fields may affect summary statistics
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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