Openlayer for AI agents
Openlayer is an AI quality platform for monitoring production model data, running evaluations, and tracking test results across projects. ML teams use it to catch regressions before they reach users. 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 Openlayer.
Check test results for a project
List recent test results read-only to see whether a model version is passing quality checks.
Review production data sources
List data sources feeding a monitored project to confirm the right data is being tracked.
Compare project versions
Pull test results across two project versions to see whether a change improved quality.
10 Openlayer actions, graded by risk.
Every Openlayer 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.
- openlayer.list_testsList Tests
- openlayer.get_workspaceGet Workspace
- openlayer.list_projectsList Projects
- openlayer.get_data_sourceGet Data Source
- openlayer.list_data_sourcesList Data Sources
- openlayer.list_test_resultsList Test Results
- openlayer.get_project_versionGet Project Version
- openlayer.list_project_versionsList Project Versions
- openlayer.list_data_source_test_resultsList Data Source Test Results
- openlayer.list_project_version_test_resultsList Project Version Test Results
write
0Create and change things. Allow, or ask the user first.
- No write actions.
destructive
0Delete, cancel or archive. Ask first, or deny outright.
- No destructive actions.
Openlayer in three steps.
- 01Your users connect OpenlayerThey add their Openlayer api key on Arc0 Connect, under your brand. It goes straight into the vault.
- 02You set the rulesReads run, and writes like “updates” can wait for the user to approve.
- 03Any agent can actYour agent calls Openlayer through the Arc0 SDK or MCP, and so can Claude, ChatGPT and Cursor. Every call lands on the audit log.
await arc0.policies.set('openlayer', { read: 'allow', write: 'ask', destructive: 'deny', }) # Claude Code: the same connection, one URL $ claude mcp add --transport http arc0 \ https://mcp.arc0.ai/u/u_8f2
How Openlayer connects.
Users add their Openlayer 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 Openlayer 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 Openlayer from any agent.
Openlayer and Arc0, answered.
Can I use Openlayer with Claude, ChatGPT or Cursor?
Yes. Connect Openlayer 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 Openlayer actions you allow.
How do users connect Openlayer?
Users add their Openlayer 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 Openlayer actions can my agent take?
10 in total: 10 read, 0 write and 0 destructive. Your policies decide which of them each agent may call.
Can I make my agent read-only in Openlayer?
Yes. Allow read actions and deny writes in the Openlayer policy. Your agent can still look things up, and any write it attempts is blocked and logged.
Can my own backend call Openlayer too?
Yes. The same Openlayer connection is available over REST and through the Arc0 proxy, so your product and your agent share one connection per user.
Plug Openlayer into your agent.
Your users connect Openlayer once, under your brand. Your agent gets 10 actions behind your policies, with every call on the record.
Free to build · MCP + REST · Audit log on every plan