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Remove Duplicates → Filter Non-Null → Numeric Summary Pipeline
x402
Remove Duplicates → Filter Non-Null → Numeric Summary Pipeline 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).
Processes a batch of records through three sequential steps: deduplication, filtering rows with a value in a specified field, and computing a numeric summary — returning processed output and row counts per step.
Price / call$0.01
Success—
StatusUnknown
How this service works
Remove duplicate rows → Keep rows with a value → Numeric summary: Process customer-supplied records: Remove duplicate rows → Keep rows with a value → Numeric summary. Returns the processed output and row counts per step. No external data lookup. 0.01 USDC includes up to 300 flat records.
Output
Returns the processed records after each pipeline stage (deduplicated, then filtered, then summarized), along with row counts showing how many records remained after each step and numeric summary statistics (such as count, sum, min, max, mean) for the specified numeric field.
Example use cases
Sales data dedup and summary
“I've got up to 300 sales transaction records with a 'revenue' field. Can you strip out duplicate rows, keep only the ones that actually have a revenue value, and give me a numeric summary of the revenue figures?”
Survey response cleanup
“Here are my survey responses — each row has a 'score' field. Please deduplicate the rows, drop any that are missing a score, and summarize the score distribution numerically.”
Inventory record aggregation
“I have an inventory list with a 'quantity' field and there are duplicate entries. Run it through deduplication, filter to rows with a quantity value, and return the numeric summary along with how many rows survived each step.”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-cap-d209400e5f06b6f1531b?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a quick, all-in-one data cleaning and summarization pipeline on up to 300 flat records — specifically when you want to deduplicate, filter non-null rows by field, and get numeric statistics in a single API call without setting up your own ETL. It's ideal for lightweight data-prep tasks where the records fit within the 300-row flat limit and you need row-count transparency per step.
Side effects
- Empty records array (violates minItems:1 constraint)
- More than 300 records submitted (exceeds maxItems:300)
- Field name does not match pattern ^[a-zA-Z][a-zA-Z0-9_]{0,39}$ (invalid field name)
- Records contain objects with more than 30 properties (violates maxProperties:30)
- Specified field does not exist in any records, resulting in empty filtered output
- Non-numeric values in field preventing numeric summary computation
- Payment of 0.01 USDC not provided, resulting in 402 Payment Required
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| field | string | |
| records | array |
Tags
x402
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