Genderize for AI agents
Genderize is a lookup API that guesses the likely gender behind a first name using statistical name data. Developers and data teams use it to fill in a missing field on records in bulk. Connect it once through Arc0, and your agent, or Claude, ChatGPT and Cursor, can use it through one MCP endpoint, limited to what each user approved.
What agents do in Genderize.
Predict gender for a contact
Look up the likely gender for a first name pulled from a signup or CRM record before personalizing an email.
Batch-tag a contact list
Run a list of first names through the predictor to add a gender field to hundreds of contact records at once.
Sanity-check imported data
Spot-check name predictions on a small sample before a write to the CRM, since the guess is only a probability.
1 Genderize actions, graded by risk.
Every Genderize action is tagged read, write or destructive, so one policy covers the whole app and new actions inherit the right default.
read
0Look things up. Allowed by default.
- No read actions.
write
1Create and change things. Allow, or ask the user first.
- genderize.predict_genderPredict Gender
destructive
0Delete, cancel or archive. Ask first, or deny outright.
- No destructive actions.
Genderize in three steps.
- 01Your users connect GenderizeThey add their Genderize api key on Arc0 Connect, under your brand. It goes straight into the vault.
- 02You set the rulesReads run, and writes like “predict Gender” can wait for the user to approve.
- 03Any agent can actYour agent calls Genderize through the Arc0 SDK or MCP, and so can Claude, ChatGPT and Cursor. Every call lands on the audit log.
await arc0.policies.set('genderize', { read: 'allow', write: 'ask', // predict_gender destructive: 'deny', }) # Claude Code: the same connection, one URL $ claude mcp add --transport http arc0 \ https://mcp.arc0.ai/u/u_8f2
How Genderize connects.
Users add their Genderize api key on Arc0 Connect. It is encrypted in the vault, never shown to the model, and each user can rotate or revoke it at any time.
The same Genderize connection serves your agent over MCP and your own backend over REST and the proxy, so a user connects once. How Arc0 handles credentials →
- AUTH
- API key
- CREDENTIALS
- Per-tenant encrypted vault
- MODEL SEES
- Results only, never credentials
- AUDIT LOG
- Every call, on every plan
Use Genderize from any agent.
ClaudeChatGPTCursor
Codex
VS CodeOpenAI Agents SDKClaude Agent SDK
Vercel AI SDK
Mastra
LangGraph
Genderize and Arc0, answered.
Can I use Genderize with Claude, ChatGPT or Cursor?
Yes. Connect Genderize to Arc0 once, then add your Arc0 MCP URL to Claude, ChatGPT, Cursor, Claude Code or any other remote-MCP client. Each assistant only gets the Genderize actions you allow.
How do users connect Genderize?
Users add their Genderize api key on Arc0 Connect. It is encrypted in the vault, never shown to the model, and each user can rotate or revoke it at any time.
Which Genderize actions can my agent take?
1 in total: 0 read, 1 write and 0 destructive, such as “predict Gender”. Your policies decide which of them each agent may call.
Can I make my agent read-only in Genderize?
Yes. Allow read actions and deny writes in the Genderize policy. Your agent can still look things up, and any write it attempts is blocked and logged.
Can my own backend call Genderize too?
Yes. The same Genderize connection is available over REST and through the Arc0 proxy, so your product and your agent share one connection per user.
Plug Genderize into your agent.
Your users connect Genderize once, under your brand. Your agent gets 1 actions behind your policies, with every call on the record.
Free to build · MCP + REST · Audit log on every plan