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CSV/JSON Data Cleaner – Normalize, Deduplicate & Validate Tabular Data
x402
CSV/JSON Data Cleaner – Normalize, Deduplicate & Validate Tabular Data is a paid API for AI agents from i3p3mgbsn54dvlivnk6wbumal40eqtsn.lambda-url.us-east-1.on.aws, paid per call via x402, $0.08/call, status unknown (last checked 2026-10-10).
Normalizes, trims, validates, and deduplicates tabular CSV or JSON data to produce clean, reliable datasets for agent workflows.
Price / call$0.08
Success—
StatusUnknown
How this service works
Normalize, trim, validate, and deduplicate tabular CSV or JSON data for reliable agent workflows.
Output
Returns a cleaned version of the input tabular data (CSV or JSON) with whitespace trimmed, fields normalized, duplicates removed, and a validation summary indicating which rows or fields had issues detected and corrected.
Example use cases
CRM export deduplication before sync
“I just exported 5,000 contacts from our CRM as a CSV and there are definitely duplicates and inconsistent formatting. Can you deduplicate the rows, normalize the name and email fields, and trim any stray whitespace so I can safely import it into HubSpot?”
Agent workflow data quality gate
“Before my agent pipeline processes this JSON dataset of product records, can you validate all required fields are present, remove exact duplicate entries, and normalize the category and price columns so downstream steps don't fail?”
Spreadsheet cleanup for analytics
“I have a messy CSV export from our order management system with inconsistent capitalization, trailing spaces in addresses, and some duplicate order IDs. Can you clean it up — normalize the fields, deduplicate by order ID, and tell me which rows had validation issues?”
Technical details
Endpoint
POSThttps://i3p3mgbsn54dvlivnk6wbumal40eqtsn.lambda-url.us-east-1.on.aws/v1/data-cleaner?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a fast, serverless data-cleaning step before ingesting tabular CSV or JSON into a database, pipeline, or agent workflow. It combines normalization, trimming, validation, and deduplication in a single call, making it ideal for ETL preprocessing or quality-gating agent data flows without standing up dedicated infrastructure.
Side effects
- Malformed CSV or JSON that cannot be parsed returns a parse error
- Extremely large datasets may exceed Lambda payload limits
- Ambiguous deduplication keys may produce unexpected results if no key column is specified
- Missing or inconsistent column headers may cause normalization to fail
- Unsupported data formats beyond CSV and JSON will be rejected
Tags
x402
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