# CSV/JSON Data Cleaner – Normalize, Deduplicate & Validate Tabular Data

> 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.

## Facts

- Endpoint: POST https://i3p3mgbsn54dvlivnk6wbumal40eqtsn.lambda-url.us-east-1.on.aws/v1/data-cleaner?utm_source=zero.xyz
- Price: $0.08/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-10
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/csv-json-data-cleaner-normalize-deduplicate-validate-tabular-data-5c4b98ef
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_OHQdprhb-F2jrO0zWpO0m

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability csv-json-data-cleaner-normalize-deduplicate-validate-tabular-data-5c4b98ef -d '<json body>'
```

Example prompt: Can you clean this customer export CSV — normalize the text fields, trim extra whitespace, remove duplicate rows, and flag any records with missing required values so it's ready to load into the pipeline?

## When to prefer this

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.

## Known failure modes

- 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

## 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.

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/csv-json-data-cleaner-normalize-deduplicate-validate-tabular-data-5c4b98ef/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from i3p3mgbsn54dvlivnk6wbumal40eqtsn.lambda-url.us-east-1.on.aws](https://www.zero.xyz/host/i3p3mgbsn54dvlivnk6wbumal40eqtsn.lambda-url.us-east-1.on.aws/llms.txt)