Data Infrastructure · MessyOrg product
MessyAPI
Messy data in. Clean, usable data out.
Build case study
How we built MessyAPI
Problem
Almost every application rewrites the same data-handling code: trimming, validating, normalizing formats, catching duplicates, reshaping records.
Build
Send MessyAPI messy records, a CSV or text, pick a task or describe it, and get back cleaned records, flagged problems and a step report.
Technical depth
- Clean
- Validate
- Match duplicates
- Transform
- Vercel
- Neon
- Supabase
Result
MessyAPI is a data infrastructure API. It cleans, validates, normalizes, deduplicates and transforms data.
What it is
About MessyAPI
MessyAPI is a data infrastructure API. It cleans, validates, normalizes, deduplicates and transforms data.
It provides reusable data infrastructure for developers, applications and AI agents.
The problem
The problem it addresses
Almost every application rewrites the same data-handling code: trimming, validating, normalizing formats, catching duplicates, reshaping records.
AI agents make this worse, not better, they act confidently on inconsistent input.
What it does
What it does
Send MessyAPI messy records, a CSV or text, pick a task or describe it, and get back cleaned records, flagged problems and a step report.
It cleans names, phones, addresses and URLs, flags bad emails, groups likely duplicates without deleting them, reshapes data into the fields you need, and finds and masks sensitive information.
It works as a REST API, as an MCP server for AI agents, and with guides for Zapier, n8n and Make. Each key can be limited to certain tasks and daily limits, and every call is logged.
Who it's for
- Developers who keep writing the same cleanup and validation code.
- AI apps and agents that need clean, safe data before they act.
- Agencies that want one setup across client apps, with separate keys, usage and spending per client.
Key capabilities
- Clean
- Validate
- Match duplicates
- Transform
- Protect sensitive data
- Run reports and call logs
- REST API and MCP
Proof · by the numbers
What MessyAPI actually contains
- API operations
- 100
- Benchmark test cases
- 148,359
- Health checks
- Every minute
- Ways to connect
- 3
Listed in the public capability catalog.
Public accuracy benchmark at messyapi.com/benchmark.
Live status and 30-day history at messyapi.com/status.
REST API, MCP server, and Zapier, n8n and Make guides.
In an engagement
Where MessyAPI fits in a client engagement
Where it fits
Build
Data utility infrastructure we reach for when a build needs cleaning, validation or normalization, only where it genuinely fits.
See how we work →In your workspace
Added to a workspace when the project calls for it.
Every MessyOrg engagement includes a private workspace that tracks your project stage by stage and opens the products your work actually uses, one sign-in, not one per tool.
What the workspace includes →This product is built and operated by MessyOrg. Client solutions are designed around each organization independently, existing MessyOrg technology is used only when it genuinely adds value.
Why we built it
Why MessyOrg built MessyAPI
Data quality is the quiet failure mode of modern software. MessyAPI exists so cleaning data is infrastructure, not a chore repeated per project.
Current status
Live
MessyAPI is live at messyapi.com.
Works well with
MessyAPI inside the MessyOrg ecosystem
Wondering if MessyAPI fits?
Tell us what you're trying to solve, and whether MessyAPI is the right place to start.