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Data Ingestion Batches — Base-100 Series + Keyed Dataset Comparison
x402
Data Ingestion Batches — Base-100 Series + 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 2026-10-16).
Generates two analytical reports for data ingestion batch records: a Base-100 index series and a keyed dataset comparison, using received_rows and accepted_rows metrics for up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data ingestion batches — Base-100 series + Keyed dataset comparison: Base-100 series + Keyed dataset comparison for supplied data ingestion batches records (received_rows, accepted_rows). 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 analytical reports: (1) a Base-100 rebase series showing how the selected metric (received_rows or accepted_rows) moves relative to a baseline of 100, and (2) a keyed dataset comparison report that matches rows between the primary and secondary dataset by key and highlights differences — all computed locally using supplied data only, with no external lookups.
Example use cases
Ingestion pipeline acceptance rate trending
“I have daily ingestion logs for October 2026 across two dataset groups — can you rebase the accepted_rows values to a Base-100 series so I can see how acceptance rates trend over time? Here are the rows with row_id, dataset_group, date, received_rows, and accepted_rows.”
Cross-batch ingestion discrepancy check
“I ran two ingestion jobs on the same dataset and got slightly different row counts — can you do a keyed comparison between the two batches using received_rows so I can spot which row_ids diverged between the runs?”
Multi-group ingestion volume benchmark
“Can you generate a Base-100 index and keyed comparison for my ingestion data across group-a and group-b for the past week? I want to compare received_rows between my baseline batch and a second batch where some groups had higher volumes.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-01-168?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need two simultaneous analytical views — a Base-100 normalized trend and a keyed cross-dataset comparison — on data ingestion batch records within a single low-cost call. Ideal for data engineers monitoring pipeline acceptance rates or comparing ingestion runs across time periods or environments, without needing any external data enrichment or live prediction.
Side effects
- Missing required fields (row_id, dataset_group, date, received_rows, or accepted_rows) cause validation errors
- Date values not matching YYYY-MM-DD pattern are rejected
- Submitting more than 200 rows returns an error due to maxItems constraint
- Null numeric values in the selected field may affect index computation
- Mismatched keys between primary and comparison dataset reduce the keyed comparison coverage
- Payment failure or insufficient USDC balance blocks the request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| base_index | integer |
Tags
x402
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