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Dataset Partition Sizes — Duplicate Key Report + Keyed Dataset Comparison
x402
Dataset Partition Sizes — Duplicate Key Report + Keyed Dataset Comparison 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 two analytical reports on dataset partition size records: a duplicate key report and a keyed dataset comparison between two supplied datasets (up to 200 rows each).
Price / call$0.01
Success—
StatusUnknown
How this service works
Dataset partition sizes — Duplicate key report + Keyed dataset comparison: Duplicate key report + Keyed dataset comparison for supplied dataset partition sizes records (row_count, file_mb). 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 independent analytical reports: (1) a duplicate key report identifying any row_ids or key combinations that appear more than once in the primary dataset, and (2) a keyed dataset comparison showing differences in row_count and file_mb values between the primary and secondary datasets, matched by shared keys. Both reports are computed locally with no external lookups.
Example use cases
Auditing partition logs for duplicate keys
“I have a list of dataset partition snapshots with row_id, dataset_group, date, row_count, and file_mb fields, and I need to know if any row_ids are duplicated across the records. Can you run a duplicate key report on these entries?”
Comparing yesterday vs today partition sizes
“I have yesterday's dataset partition records and today's partition records — both with row_id, dataset_group, date, row_count, and file_mb — and I want to see which partitions grew, shrank, or went missing. Can you do a keyed comparison between the two?”
Data pipeline QA before ingestion
“Before I ingest these partition size records into our warehouse, I want to make sure there are no duplicate keys and that the counts match our reference dataset. Can you run a duplicate key check on my main set and compare it against the reference set?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-07-069?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to simultaneously check a set of dataset partition size records for duplicate keys AND compare two versions of those records side by side, all in a single $0.01 call. It is ideal for data pipeline QA, partition log auditing, and snapshot diffing where both deduplication and change detection are needed at once. Prefer this over single-report endpoints when both analyses are required to avoid paying twice.
Side effects
- Input array exceeds 200 rows — request will be rejected or truncated
- Missing required fields (row_id, dataset_group, date, row_count, file_mb) cause validation errors
- Malformed date strings not matching YYYY-MM-DD pattern fail schema validation
- Empty primary rows array (minItems:1) causes rejection
- Numeric values outside the allowed range cause validation errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| other | array |
Tags
x402
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