Enrich for AI agents
Enrich provides email validation, contact discovery, and profile enrichment APIs to help sales teams research and reach leads without manually searching for contact details. 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 Enrich.
Find a lead's work email
Find the work email for a named contact before adding them to an outreach sequence.
Search for leads by criteria
Search leads matching a target company profile to build a prospecting list.
Check credit balance first
Read the credit balance before running a large batch enrichment job.
14 Enrich actions, graded by risk.
Every Enrich action is tagged read, write or destructive, so one policy covers the whole app and new actions inherit the right default.
read
10Look things up. Allowed by default.
- enrich.search_leadsSearch Leads
- enrich.find_work_emailFind Work Email
- enrich.get_credit_balanceGet Credit Balance
- enrich.search_company_icpSearch Company ICP
- enrich.find_company_employeesFind Company Employees
- enrich.get_lead_filter_optionsGet Lead Filter Options
- enrich.list_credit_transactionsList Credit Transactions
- enrich.count_leadsCount Leads
- enrich.validate_emailValidate Email
- enrich.lookup_person_by_emailLookup Person by Email
write
4Create and change things. Allow, or ask the user first.
- enrich.resume_batchResume Existing Batch
- enrich.batch_validate_emailsBatch Validate Emails
- enrich.batch_find_work_emailsBatch Find Work Emails
- enrich.batch_lookup_people_by_emailBatch Lookup People by Email
destructive
0Delete, cancel or archive. Ask first, or deny outright.
- No destructive actions.
Enrich in three steps.
- 01Your users connect EnrichThey add their Enrich api key on Arc0 Connect, under your brand. It goes straight into the vault.
- 02You set the rulesReads run, and writes like “resume Existing Batch” can wait for the user to approve.
- 03Any agent can actYour agent calls Enrich through the Arc0 SDK or MCP, and so can Claude, ChatGPT and Cursor. Every call lands on the audit log.
await arc0.policies.set('enrich', { read: 'allow', write: 'ask', // resume_batch destructive: 'deny', }) # Claude Code: the same connection, one URL $ claude mcp add --transport http arc0 \ https://mcp.arc0.ai/u/u_8f2
How Enrich connects.
Users add their Enrich 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 Enrich 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 Enrich from any agent.
Enrich and Arc0, answered.
Can I use Enrich with Claude, ChatGPT or Cursor?
Yes. Connect Enrich 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 Enrich actions you allow.
How do users connect Enrich?
Users add their Enrich 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 Enrich actions can my agent take?
14 in total: 10 read, 4 write and 0 destructive, such as “resume Existing Batch”. Your policies decide which of them each agent may call.
Can I make my agent read-only in Enrich?
Yes. Allow read actions and deny writes in the Enrich policy. Your agent can still look things up, and any write it attempts is blocked and logged.
Can my own backend call Enrich too?
Yes. The same Enrich connection is available over REST and through the Arc0 proxy, so your product and your agent share one connection per user.
Plug Enrich into your agent.
Your users connect Enrich once, under your brand. Your agent gets 14 actions behind your policies, with every call on the record.
Free to build · MCP + REST · Audit log on every plan