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Dataset Partition Sizes — Duplicate Key Report + Base-100 Series
x402
Dataset Partition Sizes — Duplicate Key Report + Base-100 Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-20).
Analyzes up to 200 dataset partition size records (row_count, file_mb) and returns both a duplicate key report and a base-100 index series for a chosen metric field.
Price / call$0.01
Success—
StatusUnknown
How this service works
Dataset partition sizes — Duplicate key report + Base-100 series: Duplicate key report + Base-100 series 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 repeated row_id values across the submitted records, and (2) a base-100 index series for the chosen metric field (row_count or file_mb), rebased from the specified base_index row. Both reports are computed locally on the supplied data with no external lookups.
Example use cases
Data pipeline duplicate key audit
“Here are my dataset partition logs for October — each record has a row_id, dataset_group, date, row_count, and file_mb. Can you run a duplicate key report so I can see if any row IDs are repeated across the 120 records?”
Baseline-indexed file size trend
“I have 80 partition size snapshots with row_count and file_mb fields. Can you index the file_mb values to base 100 starting from record index 0 so I can see how file sizes have grown relative to the first snapshot?”
Row count normalization for multi-group comparison
“I want to compare row_count growth across my dataset groups — I have 200 partition records across groups A and B. Can you produce a base-100 series for row_count anchored at index 0 and also flag any duplicate row IDs in the data?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-07-063?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a duplicate key integrity check and a base-100 normalization series computed together on the same set of dataset partition size records (up to 200 rows) in a single $0.01 call. It is ideal for data engineers auditing partition logs for key collisions while simultaneously wanting to track relative growth of row counts or file sizes from a chosen baseline. Prefer it over single-report alternatives when both analyses are needed simultaneously on the same dataset.
Side effects
- Empty or missing rows array returns an error
- More than 200 rows submitted exceeds the maxItems limit
- Invalid date format (not YYYY-MM-DD) causes schema validation failure
- base_index value out of range (>= number of submitted rows) causes indexing failure
- Non-numeric values in row_count or file_mb fields may cause computation errors
- Missing required fields (row_id, dataset_group, date) per row causes rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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