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Data Ingestion Batches — Record Quality Audit + String Normalisation + Secondary-Measure Weighted Mean
x402
Data Ingestion Batches — Record Quality Audit + String Normalisation + Secondary-Measure Weighted Mean is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-17).
Runs three local analytical reports on data ingestion batch records: a record quality audit, string normalisation, and a secondary-measure weighted mean for received_rows or accepted_rows fields.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data ingestion batches — Record quality audit + String normalisation + Secondary-measure weighted mean: Record quality audit + String normalisation + Secondary-measure weighted mean for supplied data ingestion batches records (received_rows, accepted_rows). Up to 200 rows; 3 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 3 supplied-data reports for up to 200 rows.
Output
Returns three independent analytical reports computed locally from the supplied rows: (1) a record quality audit flagging issues in the ingestion batch records, (2) a string normalisation report on dataset_group and other string fields, and (3) a secondary-measure weighted mean computed over either received_rows or accepted_rows as specified. No external lookups or predictions are made.
Example use cases
Daily ingestion pipeline quality check
“I have 50 rows of daily ingestion batch data with received_rows and accepted_rows per dataset_group — can you audit the record quality, normalise the dataset group strings, and compute the weighted mean of accepted_rows across all of them?”
Acceptance rate anomaly investigation
“My ingestion pipeline had some weird numbers last week — can you run all three reports (quality audit, string normalisation, weighted mean) on these batch records so I can see which groups had poor acceptance rates?”
Multi-group dataset summary for stakeholders
“I need a quick analytical summary of these ingestion batch records across group-a and group-b for the past month — run the quality audit, normalise the group name strings, and give me the weighted mean for received_rows.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-01-205?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have up to 200 data ingestion batch records and need three bundled analytical reports — quality audit, string normalisation, and weighted mean — in a single low-cost call without any external data lookups, predictions, or live enrichment. It is ideal for ETL pipeline monitoring, ingestion acceptance rate analysis, and data hygiene checks on received_rows/accepted_rows metrics.
Side effects
- Rows array exceeds 200 items — request rejected
- Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) — validation error
- Date field does not match YYYY-MM-DD format — schema validation failure
- Numeric values outside allowed range (±1,000,000,000,000) — rejection
- Invalid field enum value (not received_rows or accepted_rows) — error
- Empty rows array — minimum items constraint violation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string |
Tags
x402
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