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Use cases

Real jobs, real endpoints.

Each use case maps to endpoints you can call today, with a before-and-after example.

Clean a messy CSVPrepare data for AIClean up CRM dataDeduplicate customersProtect personal data before AIValidate leadsPrepare a HubSpot importPrepare a Salesforce import

Clean a customer import

Normalize names, emails, phones and dates before records hit your CRM.

repairnormalizededupe

Deduplicate a contact list

Group exact and near duplicates transitively, then merge with survivorship rules.

dedupemergesurvivorship

Detect and protect PII

Find personal data in record fields, then redact or mask it for sharing.

pii-detectredactmask

Fix broken JSON

Repair malformed JSON payloads from webhooks and LLM output.

json-repair

Validate email addresses

Syntax and deliverability-oriented checks before signup or import.

validate-email

Format phone numbers

Normalize phone numbers to a consistent format.

normalize-phone

Prepare data for AI

Clean, type and flatten records before embedding or prompting.

text-cleantype-inferflatten

Route leads by value

Score and route incoming leads deterministically.

scoreroute

Reconcile datasets

Compare two datasets and quantify financial exposure.

reconcilecompare

Give agents data tools

Expose MessyAPI to Claude and other MCP clients.

mcp
MessyAPI

Messy data in. Clean, usable data out — one API for your apps and AI agents.

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