Integrations·AI & ML
Ai ml api + OpenClaw
Give your autonomous agents a live connection to Ai ml api: managed, secure, and ready in minutes.
Ai ml api is a suite of AI/ML models for natural language and image tasks. On Molted, your OpenClaw agents connect to Ai ml api through the managed MCP integration layer, with no glue code, no servers to run, and no credentials baked into containers. The agent can call models, run inference, and chain AI capabilities for Ai ml api, autonomously and within the guardrails you set.
Available actions
2 ready-to-use Ai ml api actions.
Your OpenClaw agents can call any of these Ai ml api actions directly through Molted's managed MCP layer. No wrappers, no boilerplate.
AI_ML_API_MODERATION_COMPLETION
Moderation Completion
Tool to classify input text or image for safety using a moderation model. use after receiving user-generated content to filter out unsafe material.
AI_ML_API_TEXT_CHAT_COMPLETION
Text Chat Completion
Tool to generate text completions or chat responses using a specified llm model. use after assembling the conversation history to produce the next response.
How the connection works
Connect once. The agent acts.
Ai ml api connects with an API key you provide once; it is encrypted at rest and never shipped inside the agent's pod. Everything runs through Molted's managed MCP layer, so there is no integration code to write and nothing to keep running.
01
The agent requests access
Your OpenClaw agent asks for Ai ml api when a task needs it.
02
You approve the connection
Authorize Ai ml api once (API key). Credentials are encrypted at rest and scoped to what you allow.
03
The agent acts
It reads and writes to Ai ml api autonomously, inside your guardrails, with full audit and revocable access.
FAQ
Ai ml api on Molted, answered.
Q.01
Can OpenClaw agents use Ai ml api on Molted?
Yes. Ai ml api is one of 1,000+ apps available through Molted's managed MCP integration layer. Your agent requests access, you approve the connection, and it can act on Ai ml api straight away, with no integration code to write or maintain.
Q.02
How do I connect Ai ml api to my agent?
Ai ml api connects with an API key you provide once; it is encrypted at rest and never shipped inside the agent's pod.
Q.03
What can an agent actually do with Ai ml api?
Within the permissions you grant, an agent can call models, run inference, and chain AI capabilities. Have your agent use Ai ml api to chain multiple AI capabilities into a single autonomous pipeline.
Q.04
Is my Ai ml api data and credentials secure?
Yes. Molted never bakes credentials into the agent's pod: every connection is brokered through the managed integration layer, secrets are encrypted at rest, and access stays scoped to what you approve. You can revoke Ai ml api access at any time.
Q.05
Do I have to run any infrastructure to use Ai ml api?
No. Molted is the managed operating environment for autonomous agents: compute, the MCP layer, browser automation and self-healing are all handled for you. Connecting Ai ml api is a configuration step, not an engineering project.
Q.06
Will the Ai ml api connection stay live for an always-on agent?
Yes. Molted keeps Ai ml api connections healthy for long-running agents, refreshing tokens and surfacing any re-auth, so autonomous workflows that depend on Ai ml api keep running.
Ship agents that use Ai ml api, not infrastructure.
Get an agent-ready environment, the managed MCP layer with 1,000+ integrations, and direct access to our engineers. Onboarding within days.