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Data Ingestion Batch Analytics: Quality Audit + Deduplication + Base-100 Series
x402
Data Ingestion Batch Analytics: Quality Audit + Deduplication + Base-100 Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-16).
Runs three local analytical reports on up to 200 data ingestion batch records: record quality audit, exact row deduplication, and base-100 index series for received_rows or accepted_rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data ingestion batches — Record quality audit + Exact row deduplication + Base-100 series: Record quality audit + Exact row deduplication + Base-100 series 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
Three independent analytical reports: (1) a record quality audit flagging anomalies, nulls, or suspect values in the ingestion metrics; (2) an exact row deduplication report identifying identical records; (3) a base-100 index series normalizing either received_rows or accepted_rows relative to the chosen base row. All computed locally with no external data fetched.
Example use cases
ETL pipeline acceptance rate audit
“I have a week of ingestion batch logs across two dataset groups — can you run a quality audit plus exact deduplication check on these records and show me where accepted_rows diverges badly from received_rows? Here are the rows: group-a 2026-10-01 received 500 accepted 480, group-a 2026-10-02 received 600 accepted 200, group-b 2026-10-01 received 300 accepted 295, group-b 2026-10-02 received 400 accepted 0.”
Base-100 trend indexing for ingestion volume
“Index my ingestion received_rows counts to a base-100 series starting at row 0 and also run the quality and dedup reports on the same data — the records are: dataset-x on 2026-09-01 received 1000 accepted 980, 2026-09-02 received 1100 accepted 1050, 2026-09-03 received 900 accepted 870, 2026-09-04 received 1200 accepted 1180.”
Duplicate row detection in batch logs
“Can you run the exact deduplication report plus quality audit on these ingestion batch records to find any repeated rows? Groups are: alpha 2026-11-01 received 50 accepted 48, beta 2026-11-01 received 50 accepted 48, alpha 2026-11-01 received 50 accepted 48, gamma 2026-11-02 received 75 accepted 70 — index the base-100 series on accepted_rows from position 0.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-01-218?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need three complementary analytical passes — quality audit, deduplication, and base-100 indexing — on a batch of up to 200 ingestion records in a single low-cost call ($0.01 USDC). It is ideal for data engineers validating ETL pipeline outputs, monitoring acceptance rates, or normalizing ingestion volume trends without needing external lookups or live data connections. Prefer it over general-purpose analytics when your data is already structured as ingestion batch records with received_rows and accepted_rows fields.
Side effects
- More than 200 rows submitted — request will be rejected or truncated
- Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) cause validation errors
- Invalid date format (not YYYY-MM-DD) triggers schema validation failure
- base_index out of range (0–199) relative to submitted row count causes indexing error
- received_rows or accepted_rows values outside ±1,000,000,000,000 are rejected
- Payment not attached or insufficient USDC balance blocks the request
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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