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Data Ingestion Batches — Numeric Interval Filter + Keyed Dataset Comparison
x402
Data Ingestion Batches — Numeric Interval Filter + 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).
Analyzes up to 200 data ingestion batch records by applying a numeric interval filter and comparing two keyed datasets on received_rows or accepted_rows fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data ingestion batches — Numeric interval filter + Keyed dataset comparison: Numeric interval filter + 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 independent analytical reports: (1) a numeric interval filter report identifying which rows fall within specified ranges for the chosen field (received_rows or accepted_rows), and (2) a keyed dataset comparison report matching rows by row_id across the primary and comparison datasets to surface differences — all computed locally without external lookups.
Example use cases
Pipeline acceptance rate anomaly detection
“I have two weeks of ingestion batch records with received_rows and accepted_rows per dataset_group and date — run an interval filter on accepted_rows and compare the two datasets side by side so I can spot which groups have unusual acceptance rates.”
Cross-period ingestion batch comparison
“Compare these two ingestion batch datasets from October and November — both have row_id, dataset_group, date, received_rows, and accepted_rows — and filter by received_rows so I can see where the numbers diverged between periods.”
Dataset group performance audit
“I want to audit my data ingestion pipeline: here are up to 200 batch records split into a baseline and a current snapshot, both with dataset_group and accepted_rows — run the interval filter and keyed comparison on accepted_rows to flag any groups that changed significantly.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-01-134?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need both interval-based filtering and keyed cross-dataset comparison on data ingestion batch metrics (received_rows / accepted_rows) in a single $0.01 call for up to 200 rows. Prefer it over generic analytics tools when working specifically with ingestion pipeline batch records structured by dataset_group and date, and when you need two distinct analytical perspectives (interval filter + comparison) without any external data lookups or live API calls.
Side effects
- Fewer than 1 row or more than 200 rows submitted returns a validation error
- Invalid date format (not YYYY-MM-DD) causes schema rejection
- Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) causes row-level rejection
- Field enum value outside 'received_rows' or 'accepted_rows' causes invalid input error
- Numeric values outside ±1,000,000,000,000 range rejected
- Payment not provided or insufficient USDC causes 402 error
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| other | array | |
| maximum | number | |
| minimum | number |
Tags
x402
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