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Data Ingestion Batches — Grouped Numeric Summary + Adjacent Row Changes
x402
Data Ingestion Batches — Grouped Numeric Summary + Adjacent Row Changes is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-18).
Analyzes data ingestion batch records to produce a grouped numeric summary and adjacent row change report for received_rows or accepted_rows fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data ingestion batches — Grouped numeric summary + Adjacent row changes: Grouped numeric summary + Adjacent row changes 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 grouped numeric summary aggregating received_rows or accepted_rows by dataset_group (e.g. count, min, max, mean, sum per group), and (2) an adjacent row changes report showing the delta between consecutive rows for the chosen metric. Covers up to 200 input rows. No external lookups or predictions are made.
Example use cases
Daily pipeline quality audit
“I have a list of up to 80 ingestion batch records with row_id, dataset_group, date, received_rows, and accepted_rows — can you give me a grouped numeric summary and adjacent row changes report on the accepted_rows field so I can spot which groups are dropping data?”
Dataset group throughput comparison
“Run a grouped summary and row-change analysis on these ingestion batch records for received_rows — I want to see the numeric breakdown by dataset_group and how each consecutive row shifted, I have about 50 entries covering November 2025.”
Ingestion anomaly detection prep
“Here are my data ingestion batch logs for the past two weeks across 4 dataset groups — can you produce both a grouped numeric summary and an adjacent row changes report for accepted_rows so I can identify any sudden drops between batches?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-01-091?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 data ingestion batch records and need both a grouped statistical summary by dataset_group and a consecutive-row change analysis on either received_rows or accepted_rows — all in a single low-cost call. It is ideal for lightweight, offline analytics on supplied data without requiring an external database or live data source. Prefer it over general-purpose analytics tools when cost predictability ($0.01 USDC flat for both reports) and simplicity matter.
Side effects
- Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) causes validation error
- More than 200 rows submitted exceeds the maxItems limit and will be rejected
- Invalid date format (not YYYY-MM-DD) fails pattern validation
- Numeric values outside ±1,000,000,000,000 are rejected
- Empty rows array (minItems: 1 not met) returns an error
- Invalid field enum value (anything other than 'received_rows' or 'accepted_rows') causes failure
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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