Operations team connecting an AI agent to an internal REST API
Point the agent at any API endpoint and it calls it as part of its workflow. No custom integration code.
Call Any API
Call any REST or GraphQL API to connect your employee to systems that don't have a dedicated integration.
Not every tool has an OAuth integration or MCP server. Custom API endpoints cover the rest. Your employee calls any REST or GraphQL endpoint, sends payloads, reads responses, and chains multiple API calls together into workflows.
API connections support custom headers, authentication tokens, and request templates. Define the endpoint once, and your employee can call it whenever the task requires it. No code, no deployment, just configuration.
This is the universal fallback. If a system has an API, your employee can use it. Internal tools, legacy systems, custom microservices, third-party platforms without OAuth support. Configure the endpoint, and your employee treats it like any other tool.
Turn Any API Into a Tool Your Agent Can Use
Sistava lets you configure any REST or GraphQL API as a tool your AI employee can call during a task. Define the endpoint URL, HTTP method, headers, authentication, and request template, and the agent gains the ability to call that API whenever it needs to.
This means any internal system, any third-party service, or any custom backend your company has built can become part of your AI employee's toolkit. No webhook, no OAuth flow required. If it has an API, your agent can use it.
Full Control Over Authentication and Request Shape
API endpoint integrations support custom headers, bearer tokens, API keys, and request body templates. You define exactly what the agent sends and how the API expects to receive it. The agent fills in the dynamic parts based on context at call time.
This level of control means you can connect to APIs with strict authentication requirements, custom content types, or non-standard request formats without any workarounds. Your agent calls the API exactly as it expects to be called.
Useful for Internal Systems and Custom Backends
OAuth covers public apps, but most companies also have internal APIs: ERP systems, custom data services, internal reporting endpoints, legacy backends. API endpoint integrations cover everything OAuth does not.
You can also use API endpoints to compose multi-step workflows where the agent calls a series of internal services to complete a task. Each API becomes a discrete tool, and the agent decides the order and logic of execution based on the goal you give it.
Use Cases
Finance team giving an AI employee access to live pricing data
The agent fetches current rates from an external API and uses them in every calculation.
Support team connecting an AI agent to a ticketing system's API
The AI employee reads, updates, and creates tickets through the API. Every action stays in sync with the real system.
Developer testing an AI agent against a staging API environment
Configure the endpoint, set the auth, and the agent is making calls immediately. No deployment required.
Comparison
| Before | After |
|---|---|
| Connecting an agent to a custom API requires engineering time and maintenance. | Configure any API endpoint directly in the platform and the agent calls it. |
| The agent works with stale data because it can't reach live systems. | Real-time API calls give the AI employee access to current data. |
| Every new data source means a new integration project. | Add an endpoint, the agent uses it immediately. |
| Custom integrations are brittle and hard to update. | API endpoint configuration is centralized and version-independent. |
FAQ
What API formats does Sistava support for custom integrations?
Sistava supports both REST and GraphQL APIs. You can configure any HTTP-based endpoint, including GET, POST, PUT, and DELETE methods, with custom headers and authentication.
Can I use API keys or bearer tokens to authenticate the calls?
Yes. You can define authentication headers directly in the integration configuration. The credentials are stored securely and injected into each API call automatically. The agent never has direct access to the raw credentials.
How does the agent know when to call a custom API endpoint?
Each API endpoint is given a name and description when you configure it. The agent uses these to understand what the tool does and decides when to call it based on the task at hand, the same way it decides when to use any other tool.
Can I connect to an internal API behind a firewall?
For internal APIs accessible over HTTPS, yes. If your internal API requires network-level access, you would need to expose it via a secure tunnel or VPN endpoint. The platform makes the outbound call, so the API endpoint needs to be reachable from Sistava's infrastructure.
Can my AI employee call our internal APIs or custom backend services?
Yes. You can register any REST or GraphQL endpoint and the AI agent will call it as part of completing tasks. Authentication, headers, and parameters are all configurable.
We exposed our inventory system as an API endpoint and the support agent started pulling real stock data into customer replies. No code changes on our end.