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Dataset Partition Sizes Analytics — Record Quality Audit, Exact Row Deduplication & Equal-Width Histogram
x402
Dataset Partition Sizes Analytics — Record Quality Audit, Exact Row Deduplication & 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 2026-10-23).
Runs three independent analytical reports (record quality audit, exact row deduplication, and equal-width histogram) on user-supplied dataset partition size records containing row counts and file sizes.
Price / call$0.01
Success—
StatusUnknown
How this service works
Dataset partition sizes — Record quality audit + Exact row deduplication + Equal-width histogram: Record quality audit + Exact row deduplication + Equal-width histogram for supplied dataset partition sizes records (row_count, file_mb). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Returns three independent analytical reports: (1) a record quality audit flagging nulls, out-of-range values, and format issues in the supplied rows; (2) an exact row deduplication report identifying identical records; and (3) an equal-width histogram over the selected numeric field (row_count or file_mb) with the specified number of bins, all computed locally without any external lookups.
Example use cases
Data pipeline partition quality check
“I have 80 dataset partition records from our nightly ETL — each has a row_id, dataset_group, date, row_count, and file_mb. Can you run the quality audit, deduplication check, and a 5-bin histogram on file_mb to see if anything looks off?”
Duplicate partition detection before merge
“Before I merge these 150 partition size records into our data catalog, can you run the exact row deduplication report and quality audit on them, using row_count as the histogram field with 8 bins? I want to catch any exact duplicates or nulls first.”
Distribution analysis of dataset sizes
“I'd like a 15-bin equal-width histogram on the row_count field for my 200 dataset partition records grouped across three teams — along with the quality audit and dedup report — so I can understand the size distribution before archiving.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-07-219?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three simultaneous analytical reports (quality audit, deduplication, histogram) on dataset partition size records without any external data lookups or ML inference. It is purpose-built for row_count and file_mb fields with a structured schema, making it ideal for data engineering pipelines that need lightweight, reproducible, local-only analytics on up to 200 partition records in a single cheap call.
Side effects
- Exceeds 200-row limit — request rejected with validation error
- Invalid date format (not YYYY-MM-DD) causes row-level validation failure
- bins parameter outside 1–30 range returns schema validation error
- Missing required fields (row_id, dataset_group, date, row_count, file_mb) causes item-level rejection
- Null values in the histogram target field may reduce histogram coverage
- Payment of 0.01 USDC not fulfilled — 402 response returned before processing
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string |
Tags
x402
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