Connect Your AI Agents to 1,000+ API Tools & OAuth in 1 Click
Active Integration Studio
Click an integration provider below to trigger a secure dynamic credentials execution flow.
Why Teams Choose DataFuse
- YAML Studio (Custom Tool Compiler)
- Spawns a monospace compile sandbox. Paste Swagger/OpenAPI or write custom Integration YAML to generate schemas, auth scopes, and triggers instantly.
- Managed Client OAuth
- Reusable blueprints defining OAuth, API Key, Bearer, or Basic Auth. Users authenticate via white-labeled screens; agents never see raw credentials (zero prompt injection leakage risk).
- Bi-Directional Triggers
- Setup active event-driven webhook listeners that automatically trigger agent workflows on external system activities.
- Real-Time Logs & Traces
- Audit every execution parameter, latency curve, status code, and duration directly from a streaming console.
YAML Studio Compiler
Select a blueprint template below and watch it compile instantly into structured validation schemas.
Core Capabilities
- 1-Click Hot-Swapping
- Swap agent models (Claude, GPT-4, local Llama) dynamically mid-run without severing authenticated user connections.
- Session-Level History
- Session tracking that groups agent actions per user context, tracing every tool call sequence from start to finish.
- Self-Hosted VPC Option
- Deploy Datafuse completely inside your private cloud infrastructure, ensuring sensitive transaction payloads never route through third-party servers.
- Granular Scopes & Permissions
- Enforce fine-grained safety boundaries, marking tools read-only, write-only, or blocking destructive actions at the ACL level.
- Auto-Healing API Proxy
- High-availability routing that self-corrects token expiration, dynamic schema shifts, and rate limits.
- Zero-Retention Vault
- Cryptographically enforced zero-retention logging options designed for strict enterprise security compliance.
Zero-Leak Threat Visualizer
Run threat simulations to see how standard systems leak credentials, while Datafuse decouples and isolates them.
Without proxy decoupling, the AI agent's active memory holds raw user Slack tokens. Malicious websites or prompt injections can force the agent to print out system environment variables, exposing keys.
Datafuse isolates authorization keys entirely inside an AES-256 GCM encrypted vault. The agent only commands tools by passing action IDs; the gateway injects credentials on-the-fly, blocking injections.
How It Works
- 1. Define or Import YAML
- Load template schemas or compile custom OpenAPI specifications inside YAML Studio to generate runtime tools.
- 2. Select Framework & SDK
- Copy clean, pre-built TypeScript boilerplate supporting Vercel AI SDK, Claude Agents SDK, or OpenAI SDK.
- 3. Execute & Track Logs
- Spin up your agent, securely prompt users for OAuth credentials, and monitor execution latencies dynamically.
Interactive Developer Pipeline
Select a step in the deployment pipeline below to inspect its SDK integrations code.
Compile Schema
Write or import YAML specifications inside YAML Studio to compile active tools.
Expose SDKs
Initialize standard Python/TypeScript Fetch SDKs dynamically inside your AI frameworks.
Stream Traces
Trace secure proxy pipelines, latency spikes, and compliance flags with zero retention.