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Data Ingestion Batches — Exact Row Deduplication + Explicit Missing-Value Fill
x402
Data Ingestion Batches — Exact Row Deduplication + Explicit Missing-Value Fill is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-18).
Deduplicates exact rows and fills missing values in data ingestion batch records (received_rows, accepted_rows) for up to 200 rows, returning two analytical reports.
Price / call$0.01
Success—
StatusUnknown
How this service works
Data ingestion batches — Exact row deduplication + Explicit missing-value fill: Exact row deduplication + Explicit missing-value fill 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) an exact row deduplication report identifying and removing fully duplicate rows from the submitted batch, and (2) a missing-value fill report replacing nulls in the specified field (received_rows or accepted_rows) using the chosen method (zero, mean, or median). No external lookups or predictions are performed — all analysis uses local engines on the supplied data only.
Example use cases
Clean ETL pipeline ingestion logs
“I have a batch of 50 data ingestion records with some duplicate rows and some null accepted_rows values — can you deduplicate them exactly and fill the missing accepted_rows using mean imputation?”
Audit dataset group batch for nulls
“My ingestion batch for 'dataset-sales' has 120 rows dated throughout October 2026, and I suspect some received_rows are missing. Can you fill the nulls with zero and also flag any exact duplicate rows?”
Pre-processing check before pipeline load
“Before I load these 80 ingestion batch records into our warehouse, can you run exact row deduplication and fill any missing received_rows using median so I know the data is clean?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-analytics-01-054?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need lightweight, local, offline-safe deduplication and missing-value imputation on small-to-medium ingestion batch records (up to 200 rows) without requiring external data access or predictions. Ideal for pre-load data quality checks in ETL pipelines dealing with received_rows and accepted_rows metrics. Prefer this over heavier ML-based imputation or cloud data-quality services when your dataset fits within 200 rows and you want fast, deterministic, cost-effective cleaning at $0.01 per call covering both reports.
Side effects
- More than 200 rows submitted — request exceeds maxItems limit
- Missing required fields (row_id, dataset_group, date, received_rows, accepted_rows) — validation error
- Date string not matching YYYY-MM-DD pattern — schema validation failure
- Numeric values outside allowed range (±1,000,000,000,000) — validation rejection
- Invalid enum value for field or method — schema error
- Empty rows array — minItems constraint violated
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| method | string |
Tags
x402
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