Developers
Publish agents through the interfaces your product already uses.
Turn a configured agent into a verified REST endpoint or an MCP server, then follow every execution through its operational trace.
Example endpoint · POST
/api/v1/public/v1/agt_x7k2m9p4
Interface
REST · MCP
Credential
zak_live_••••
01 · Run an agent
Make the first call without a client library.
Every published agent has a public REST endpoint. Use any HTTP client your stack already trusts.
curl -X POST 'https://api.zilionix.com/api/v1/public/v1/agt_x7k2m9p4' \
-H 'X-API-Key: zak_live_your_key' \
-H 'Content-Type: application/json' \
-d '{"message":"Summarize today’s priority tickets"}'02 · Publish
A published agent carries its own delivery path.
Keep configuration, access, invocation, and operational evidence connected from the first publish through every execution.
Configure and publish an agent
Set the agent’s instructions, tools, model settings, and access controls, then publish it.
Receive a publish ID and API key
Use the publish_id and the one-time zak_live API key created for that published agent.
Choose the delivery interface
Call the public REST endpoint directly or enable the agent’s MCP server for compatible clients.
Inspect the execution receipt
Review execution, tool, token, cost, and latency traces after each run.
03 · Interfaces
Integrate the agent without losing the operational context.
REST execution and streaming
Invoke published agents over REST and stream responses when the experience calls for it.
Per-agent MCP server
Expose an individual agent as an MCP server for MCP-compatible clients.
Event-driven invocation
Use webhooks along with scheduled and event triggers to start work on the right signal.
OpenAPI tool import
Bring REST APIs into an agent’s toolset from an OpenAPI description.
Scoped credentials
Keep credentials bound to the agents and tools that need them.
Trace and cost telemetry
Inspect execution traces alongside tool, token, cost, and latency data.
Model and connector surface
OpenAI, Anthropic, AWS Bedrock, Azure OpenAI, and DeepSeek, with 100+ models available through provider discovery and 114 MCP connector presets plus native actions and OpenAPI import.
Deployment options
Deploy in Zilionix cloud, a customer VPC, with Docker and Terraform in self-hosted infrastructure, or on premises.
Zilionix cloud
Customer VPC
Docker and Terraform
On premises
Documentation
Keep the endpoint contract close to your implementation.
Start with the verified request shape, then follow the publishing flow for the agent interface your product needs.
Give every agent a path into the products people use.
Configure the work, publish the interface, and retain the trace behind every execution.