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Control and inspect API actions performed by AI agents

Swytchcode provides a runtime between AI agents and the APIs they use. Developers connect through MCP, a command-line interface, or supported SDK workflows to handle API execution with authentication, validation, retries, and idempotency. The platform also supplies implementation context for APIs whose versions or behavior can be difficult for an agent to infer.
Policies and audit records make it possible to control actions and inspect their outcomes. Example workflows span customer onboarding, issue escalation, reporting, and payments across connected services. Teams can use Swytchcode with their existing coding agents or application framework, while the available operations depend on the APIs and credentials configured for the workflow.
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