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Dataset Storage Record Quality Audit, Exact Row Deduplication, and Duplicate Key Report
x402
Dataset Storage Record Quality Audit, Exact Row Deduplication, and Duplicate Key Report 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).
Runs three analytical reports on up to 200 dataset storage records: a record quality audit, exact row deduplication, and a duplicate key report, using local engines with no external lookups.
Price / call$0.01
Success—
StatusUnknown
How this service works
Dataset storage — Record quality audit + Exact row deduplication + Duplicate key report: Record quality audit + Exact row deduplication + Duplicate key report for supplied dataset storage records (used_mb, row_count). 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 reports: (1) a record quality audit highlighting data issues across the supplied rows, (2) an exact row deduplication result identifying and removing fully identical rows, and (3) a duplicate key report flagging rows sharing the same key fields — all computed locally from the supplied data without any external lookups.
Example use cases
Storage log deduplication before ETL pipeline
“I have a batch of up to 200 storage log entries — each with a row_id, dataset_group, date, used_mb, and row_count — that I need deduplicated and quality-checked before loading them into our data warehouse. Can you run the exact row deduplication and duplicate key report on them?”
Monthly dataset storage quality review
“Can you audit the quality of our dataset storage records for October 2026? I have rows tagged with groups like 'group-a' and 'group-b' with used_mb and row_count values — I want to see any quality issues and which rows are exact duplicates.”
Debugging unexpected row count inflation
“Our row_count totals look inflated and I suspect there are duplicate records in our dataset storage logs. Can you run an exact deduplication and duplicate key report on these records so I can find which entries are causing the inflation?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-18-209?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 dataset storage records (with used_mb and row_count metrics) that need quality auditing, exact deduplication, and duplicate key analysis in a single low-cost call. It is ideal for pre-ETL data cleaning, storage log validation, or lightweight offline analytics where no live data lookups or external services are needed. At $0.01 USDC for three reports, it is cost-effective for routine batch quality checks on small-to-medium record sets.
Side effects
- Submitting more than 200 rows will be rejected or truncated
- Missing required fields (row_id, dataset_group, date, used_mb, row_count) will cause validation errors
- Malformed date strings not matching YYYY-MM-DD pattern will fail validation
- Empty rows array will not be accepted (minItems: 1)
- null values for used_mb or row_count are allowed but may affect quality audit completeness
- row_id or dataset_group values exceeding 80 characters will be rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array |
Tags
x402
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