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Data Ingestion Batches — String Normalisation + Grouped Numeric Summary
x402
Data Ingestion Batches — String Normalisation + Grouped Numeric Summary is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-14).
Normalises string fields and produces a grouped numeric summary for up to 200 data ingestion batch records (received_rows, accepted_rows) in two independent analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data ingestion batches — String normalisation + Grouped numeric summary: String normalisation + Grouped numeric summary 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 independent analytical reports: (1) a string normalisation report for the dataset_group and related text fields, and (2) a grouped numeric summary (e.g. count, sum, mean, min, max) of the selected numeric field (received_rows or accepted_rows) broken down by dataset_group — all computed locally from the supplied rows, with no external lookups.
Example use cases
Daily pipeline acceptance rate audit
“Here are yesterday's ingestion batch records across four dataset groups — can you normalise the group names and give me a grouped summary of how many rows were received vs accepted for each group? I want to analyse the accepted_rows field. Rows: row-1, 2026-10-01, group-a, received=500, accepted=480; row-2, 2026-10-01, group-b, received=300, accepted=210; row-3, 2026-10-02, group-a, received=400, accepted=395; row-4, 2026-10-02, group-b, received=250, accepted=200.”
Weekly ingestion volume comparison
“I have a week's worth of ingestion batch data across two dataset groups and I want a grouped numeric summary of received_rows so I can see which group is processing the most volume. Can you also normalise the group name strings? Here are the rows: row-1 through row-7 dated 2026-10-01 to 2026-10-07, alternating between group-alpha and group-beta, with received_rows ranging from 1000 to 5000 and accepted_rows around 90% of received.”
Data quality monitoring by group
“Can you run string normalisation and a grouped numeric summary on these 6 ingestion batch records so I can spot which dataset groups have the worst acceptance rates? I want to focus on the accepted_rows field. Records span 2026-10-01 to 2026-10-06, groups are dataset-A, Dataset-A, and dataset-B with varying received and accepted counts.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-01-023?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both string normalisation and grouped numeric aggregation on data ingestion batch records in a single low-cost call. It is ideal for pipeline monitoring, acceptance rate audits, and quick data-quality checks on batches of up to 200 rows, without requiring any external database, live lookup, or prediction service. The flat $0.01 USDC price covers both reports simultaneously, making it cost-effective compared to calling two separate analytical services.
Side effects
- More than 200 rows supplied — request rejected due to maxItems constraint
- Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) — validation error
- Date field does not match YYYY-MM-DD pattern — schema validation failure
- Numeric values outside the allowed range (±1,000,000,000,000) — validation error
- Empty rows array (minItems: 1 not met) — request rejected
- Invalid field enum value (must be 'received_rows' or 'accepted_rows') — schema error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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