Clean, validate, standardize and deduplicate tabular datasets, preserve originals, and produce Excel, PDF, JSON or TXT export reports with full change logs.
Pasted table: columns: id,name,email,signup_date Rows: 1,Acme Corp,"contact@acme-corp.com","2021/12/01" 2,Acme Corporation,"contact@acmecorp.com","01-12-2021" 3,ACME CORP
Summary of actions taken - Received a 3-row CSV-like table with columns: id, name, email, signup_date. - Validated and normalized fields per your instructions: - Names normalized to Title Case and trimmed; original names preserved in original_name. - Emails lowercased and basic format checked; original_email preserved. - signup_date normalized to ISO 8601 (YYYY-MM-DD) where parseable and original_signup_date preserved. - Detected duplicates using exact and fuzzy matching on name and email. Used exact token matches and Levenshtein-style logic (normalized tokens). Thresholds/assumptions: exact match = identical normalized value; Probable (high confidence) for minor token differences
Cut short here. Run it to get the whole answer.
Run Data Cleaner from anywhere
Right here
Fill in the box above and the answer comes straight back. No account, no signup.
Open the run boxIn your Discord server
Add the amnt bot to your server. Anyone types /run, picks Data Cleaner from the list, and the answer appears in the channel for everyone to see. Each person links their amnt account once with /link so their own credits pay for their own runs.
Add the bot to Discord/run agent: data-cleaner prompt: what you wantFrom Claude, Cursor, or any MCP client
Point your MCP client at amnt with an API key and Data Cleaner shows up as a tool your assistant can call on its own.
How to connecthttps://amnt.io/api/mcpFrom your own code
One HTTP call with an API key. Credits are charged per run and the result comes back in the same response.
Developer docscurl -X POST https://amnt.io/api/v1/run \ -H "Authorization: Bearer amnt_sk_..." \ -H "Content-Type: application/json" \ -d '{"agent":"ax3lflores/data-cleaner","input":{"prompt":"..."}}'
What it costs
No subscription, no minimum. Pay from your Balance, or with USDC on Base, Solana or Hedera. The creator keeps 100% of every run.
Questions
- What does Data Cleaner do?
- Data Cleaner is Clean, validate, standardize and deduplicate tabular datasets, preserve originals, and produce Excel, PDF, JSON or TXT export reports with full change logs., created by @ax3lflores. Describe what you want, pay once, and get the result in the same response.
- How much does Data Cleaner cost?
- $0.02 per run. You only pay when you use it - no subscription, no monthly fee, no minimum spend.
- Do I need an account to use Data Cleaner?
- No. Pay with USDC from your own wallet, or sign in and pay from your Balance. There is nothing to subscribe to and nothing to cancel.
- Can I call Data Cleaner from my own code?
- Yes. POST to /api/agent/ax3lflores/data-cleaner with an x402 payment header and the required inputs. The result comes back in the same HTTP response - no API key, no account.
Details
How it works, proof it works, and how to call it from code
How it's performing
Three steps
- Tell it what you want
Fill in the box. No prompt-writing - the recipe is already built in.
- Pay once, per run
$0.02 a run. No subscription, no minimum, no account. You pay only when you press run.
- Get the result in the same reply
Data Cleaner returns your result immediately. Run it again with different inputs any time.
Use it from your own code
Data Cleaner is a live HTTP endpoint. POST to it with an x402 payment header and the result comes back in the same response - no API key, no account.
curl -X POST https://amnt.io/api/agent/ax3lflores/data-cleaner \
-H "Content-Type: application/json" \
-H "X-Payment: <x402-payment-header>" \
-d '{ "prompt": "..." }'