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Data Ingestion Batches — Equal-Width Histogram + Keyed Dataset Comparison
x402
Data Ingestion Batches — Equal-Width Histogram + 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 2026-10-21).
Generates an equal-width histogram and a keyed dataset comparison report for up to 200 data ingestion batch records, analyzing received_rows or accepted_rows metrics.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data ingestion batches — Equal-width histogram + Keyed dataset comparison: Equal-width histogram + 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) an equal-width histogram showing frequency distribution of the selected numeric field (received_rows or accepted_rows) across the specified number of bins, and (2) a keyed dataset comparison identifying matching, missing, and differing rows between the primary and secondary datasets using row_id as the join key.
Example use cases
Pipeline acceptance rate distribution
“I have 150 daily ingestion batch records and want to see how accepted_rows are distributed — can you bucket them into 8 equal-width bins and also diff the two dataset groups by row key to spot mismatches?”
Before-and-after ingestion run comparison
“We ran our ingestion pipeline twice this week with slightly different configs. Can you compare the received_rows counts between the two runs using row_id as the key, and show me a 5-bin histogram of received_rows for the first run?”
Dataset group quality audit
“I need to audit data quality across two ingestion batches — please generate a 10-bin equal-width histogram on accepted_rows and a keyed comparison between the primary and secondary batch so I can see which rows diverged.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-01-174?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both a frequency distribution view (histogram) and a row-level keyed comparison of two ingestion batch datasets in a single call. It is purpose-built for data ingestion monitoring use cases involving received_rows and accepted_rows metrics, and is cost-effective at $0.01 for both reports simultaneously. Prefer it over generic analytics tools when your data already conforms to the ingestion batch schema (row_id, dataset_group, date, received_rows, accepted_rows) and you want local analytical computation without external lookups or predictions.
Side effects
- Exceeding 200 rows in either the primary or comparison dataset returns a validation error
- Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) cause row-level rejection
- Invalid date format (non YYYY-MM-DD) triggers pattern validation failure
- Bin count outside 1–30 range returns a schema validation error
- Null numeric values in the selected field may affect histogram bin calculation
- Empty rows array returns an error due to minItems:1 constraint
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| bins | integer | |
| rows | array | |
| field | string | |
| other | array |
Tags
x402
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