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Dataset Partition Sizes — Record Quality Audit, Exact Row Deduplication & Category Frequencies
x402
Dataset Partition Sizes — Record Quality Audit, Exact Row Deduplication & Category Frequencies is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-19).
Runs three independent analytical reports (record quality audit, exact row deduplication, and category frequency analysis) on up to 200 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 + Category frequencies: Record quality audit + Exact row deduplication + Category frequencies 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 issues such as nulls, invalid values, or format violations per row; (2) an exact row deduplication report identifying identical rows across the submitted records; (3) a category frequency report showing how often each dataset_group value appears. All three are computed locally without external lookups.
Example use cases
Data pipeline partition quality check
“I have 80 partition size records from our nightly ETL pipeline, each with a row_id, dataset_group, date, row_count, and file_mb. Can you audit them for data quality issues, find any exact duplicates, and tell me the frequency breakdown by dataset group?”
Storage log deduplication audit
“We collected 120 partition log entries across several dataset groups over the past month and I need to know if there are any duplicate rows, which groups appear most often, and whether there are quality issues like nulls or invalid values in the row_count or file_mb fields.”
Dataset inventory completeness review
“I've got 45 dataset partition records with fields for row_id, dataset_group, date, row_count, and file_mb — can you check for record quality problems, deduplicate them exactly, and give me a frequency count of how many records belong to each dataset_group?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-07-212?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three simultaneous analytical views (quality, deduplication, category frequencies) on a batch of dataset partition size records in a single call at low cost. It is ideal for offline batch profiling of up to 200 rows where no external lookups, predictions, or live data are needed. Prefer alternatives if you need statistical summaries beyond frequency counts, time-series analysis, or more than 200 rows per call.
Side effects
- Submitting more than 200 rows returns an error or truncated results
- Rows missing required fields (row_id, dataset_group, date, row_count, file_mb) may cause validation errors
- Dates not matching YYYY-MM-DD pattern may be flagged or rejected
- row_id or dataset_group exceeding 80 characters may be rejected
- Empty rows array is not permitted (minItems: 1)
- Payment of 0.01 USDC must succeed via x402 protocol or the call is rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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