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data-cleanup: fix a messy CSV before you load it

Server Details

Fix messy CSVs in one call: trim, ISO dates, normalize emails/phones, flag dupes. x402 $0.005, Base

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Status
Healthy
Uptime
100.0% over the last 24 hours
Last Tested
Transport
Streamable HTTP · MCP 2025-11-25
URL
ChatGPT
–
Claude
–

TDQS

A4.2/5.0

Scored across 1 tool

Disambiguation5/5

There is only one tool, so there is nothing to confuse it with. Its purpose — cleaning a messy CSV and returning the cleaned file plus a change report — is explicit and unmistakable.

Naming Consistency4/5

The single name 'data-cleanup' is lowercase kebab-case and readable, and there are no sibling names to clash with. It is noun-based rather than the more conventional verb_noun form, a minor deviation but internally consistent.

Tool Count3/5

One tool is thin for a general-purpose server, but this is a deliberate single-purpose paid microservice where the entire scope is CSV cleanup. The count is defensible yet leaves no room for granular operations.

Completeness4/5

The tool covers the core cleanup lifecycle end to end: input via URL or inline CSV, whitespace/date/email/phone normalization, dedupe, and a change report. Minor gaps exist — no dry-run/preview, no configurable column mapping or selectable dedupe strategy, and no way to fetch the report separately — but agents can work around these.

Available Tools

1 tool
data-cleanupA
Read-onlyIdempotent
Inspect

Clean a messy CSV before analysis or import ($0.005 USDC via x402). Give an https URL or inline CSV (max 1 MB / 20k rows). Trims whitespace, converts dates to ISO 8601, lowercases emails, normalizes phone digits, merges or flags exact + fuzzy duplicate rows on key_columns, and returns the cleaner CSV plus a JSON change report. Built for agents feeding spreadsheets into CRMs, databases, or charts. Deterministic, no AI. Nothing stored. As is, no warranty. As is, no warranty. Nothing stored.

Inputs: csv, url, fuzzy, dedupe, +12 more.

Tool Schema Changelog

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