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Transformation Throughput — Duplicate Key Report + Base-100 Series
x402
Transformation Throughput — 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 2026-10-28).
Analyzes user-supplied transformation throughput records to produce a duplicate key report and a Base-100 indexed series for processed_rows or duration_seconds metrics.
Price / call$0.01
Success—
StatusUnknown
How this service works
Transformation throughput — Duplicate key report + Base-100 series: Duplicate key report + Base-100 series for supplied transformation throughput records (processed_rows, duration_seconds). 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 listing any row_id values that appear more than once across the submitted records, and (2) a Base-100 series that normalizes the selected metric (processed_rows or duration_seconds) relative to the record at the specified base_index, showing indexed values for each row. Both reports are computed locally from the supplied data with no external lookups.
Example use cases
ETL pipeline duplicate key audit
“I have a list of daily transformation job records and I want to know if any row IDs are duplicated — can you run a duplicate key report on these records and also index the processed_rows as a Base-100 series using the first row as the base? Here are the rows: row-1, 2026-10-01, group-a, 5000 rows, 10 seconds; row-2, 2026-10-02, group-b, 7500 rows, 12 seconds; row-1, 2026-10-03, group-a, 6000 rows, 11 seconds.”
Throughput duration baseline indexing
“Can you take these transformation job records and produce a Base-100 index for duration_seconds starting from row index 0, and also flag any duplicate row IDs? Records: row-A on 2026-11-01 dataset-X 20000 rows 30 seconds, row-B on 2026-11-02 dataset-X 22000 rows 28 seconds, row-C on 2026-11-03 dataset-Y 18000 rows 35 seconds.”
Multi-group throughput anomaly detection
“I've got throughput logs across two dataset groups and I want to spot any repeated row IDs plus see how processed_rows evolved relative to the very first entry — please run both the duplicate key report and Base-100 series on these 6 records: row-1 2026-09-01 group-alpha 1000 rows 2s, row-2 2026-09-02 group-beta 1200 rows 3s, row-3 2026-09-03 group-alpha 900 rows 2.5s, row-2 2026-09-04 group-beta 1100 rows 3.2s, row-5 2026-09-05 group-alpha 1300 rows 2.8s, row-6 2026-09-06 group-beta 1400 rows 3s.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-13-063?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 transformation throughput records and need both a duplicate key audit and a relative Base-100 index in a single call. It is ideal for data engineers who want to quickly validate row ID uniqueness and normalize processed_rows or duration_seconds metrics against a baseline row without setting up a local analytics environment. Prefer it over general-purpose analytics tools when you need a lightweight, pay-per-use report with no external data dependencies.
Side effects
- Fewer than 1 row submitted — validation error
- More than 200 rows submitted — exceeds maxItems limit
- Missing required fields (row_id, date, dataset_group, processed_rows, duration_seconds) — schema validation failure
- Invalid date format (not YYYY-MM-DD) — pattern validation error
- base_index out of range (>= number of submitted rows) — index error
- Payment of 0.01 USDC not provided — x402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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