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Data Ingestion Batches — Numeric Interval Filter + Daily Sum Series
x402
Data Ingestion Batches — Numeric Interval Filter + Daily Sum Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-21).
Runs two analytics reports on supplied data ingestion batch records: filters rows by a numeric interval and computes a daily sum time series for received_rows or accepted_rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data ingestion batches — Numeric interval filter + Daily sum series: Numeric interval filter + Daily sum series 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 reports: (1) a numeric interval filter result showing which rows fall within the specified minimum/maximum range for the selected field, and (2) a daily sum time series showing the total of the selected field (received_rows or accepted_rows) aggregated by date. Both reports are computed locally from the supplied data without external lookups.
Example use cases
ETL pipeline acceptance rate by day
“Here are my ingestion batch records for October — each row has a date, dataset_group, received_rows, and accepted_rows. Can you filter to only batches where accepted_rows is between 1 and 50, and also show me the daily total of accepted_rows across all groups?”
Detecting low-throughput ingestion days
“I want to spot days where my pipeline was underperforming. Here are 150 ingestion batch rows — filter them to received_rows between 5 and 200, and give me a daily sum series for received_rows so I can see which days had the lowest intake.”
Comparing dataset group volumes over time
“I have ingestion records across two dataset groups for the past month. Can you run interval filtering on received_rows from 0 to 1000 and produce a daily sum time series so I can compare how data volumes changed day by day?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-01-125?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 data ingestion batch records and need both a numeric range filter and a daily aggregated sum series in a single low-cost call ($0.01 USDC). It is ideal for ETL monitoring, data pipeline QA, and time-series summarization of ingestion volumes without requiring an external database or live data connection. Prefer it over general analytics tools when your data is already structured with row_id, dataset_group, date, received_rows, and accepted_rows fields.
Side effects
- Fewer than 1 row supplied — request rejected due to minItems:1 constraint
- More than 200 rows supplied — request rejected due to maxItems:200 constraint
- Invalid date format (not YYYY-MM-DD) — schema validation error
- Numeric values outside allowed range (±1,000,000,000,000) — schema validation error
- Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) — validation failure
- Field enum value not 'received_rows' or 'accepted_rows' — schema rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| maximum | number | |
| minimum | number |
Tags
x402
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