FlowDot API Reference - Developer Documentation

TL;DR — Two APIs, pick the one that matches your use case:

  • LLM Aggregator (OpenAI-compatible): https://flowdot.ai/api/v1 with Bearer fd_agg_…. Point any OpenAI SDK at it. Use nested model IDs like openai/gpt-4o-mini, anthropic/claude-sonnet-4-6, redpill/google/gemini-2.5-flash-lite. See the aggregator guide.
  • Platform / MCP API: https://flowdot.ai/api/mcp/v1 and /api/hub/* with Bearer fd_mcp_…. For workflow execution, custom nodes, apps, knowledge base, etc.
  • Get a key: open any app page → click the settings gear (top-right) → FlowDot API Keys tab (for fd_agg_). fd_mcp_ tokens live under Settings → MCP Tokens.
  • OpenAPI spec: /api/learn-center/openapi.json

FlowDot exposes two REST APIs. The LLM Aggregator API is a drop-in replacement for OpenAI's API — same shape, one key, every model (OpenAI, Anthropic, Google, Redpill, OpenRouter, and more) addressable via nested model IDs. The Platform API lets you integrate FlowDot workflows, custom nodes, apps, and knowledge-base features into your own systems.

128
Endpoints
24
Categories
19
Error Codes

Authentication

FlowDot issues three kinds of credentials. Use the one that matches the API you're calling:

fd_agg_ — LLM Aggregator keys

For the OpenAI-compatible aggregator at /api/v1/*. Create one in the app: click the settings gear (top-right of any app page) → FlowDot API Keys tab → Create Key. The plaintext key is shown once at creation — copy it immediately.

Authorization: Bearer fd_agg_xxxxxxxxxxxxx

fd_mcp_ — Platform / MCP tokens

For /api/mcp/v1/* and /api/hub/* (workflows, apps, custom nodes, knowledge base). Create in the settings modal (gear icon, top-right) → MCP Tokens tab.

Authorization: Bearer fd_mcp_xxxxxxxxxxxxx

Session cookies — web dashboard only

The /api/aggregator/keys/* and /api/user/credits/* endpoints are gated by auth:sanctum session cookies. They power the web UI — not callable from third-party integrations.

Example — aggregator chat completion

curl https://flowdot.ai/api/v1/chat/completions \
  -H "Authorization: Bearer fd_agg_xxxxxxxxxxxxx" \
  -H "Content-Type: application/json" \
  -d '{"model":"openai/gpt-4o-mini","messages":[{"role":"user","content":"Hi"}]}'

Example — platform (workflow list)

curl -X GET "https://flowdot.ai/api/mcp/v1/workflows" \
  -H "Authorization: Bearer fd_mcp_xxxxxxxxxxxxx" \
  -H "Content-Type: application/json"

Settings Modal — where each thing lives

All per-user configuration lives in one settings modal. Open any app page (Dashboard, Workflows, Agent, etc.) and click the settings gear icon in the top-right. The modal has these tabs:

TabWhat it does
FlowDot CreditsCredit balance, transaction history, buy credits.
FlowDot API Keysfd_agg_… keys for the OpenAI-compatible aggregator API (/api/v1/*).
MCP Tokensfd_mcp_… tokens for the Platform / MCP API (/api/mcp/v1/*, /api/hub/*).
NotificationsNotification preferences.
LLM BYOKYour own provider API keys (OpenAI, Anthropic, Google, etc.). Calls that resolve to a BYOK provider skip FlowDot credits.
Audio BYOKSame idea, for TTS / STT providers.
Preferred ModelsDefault model choices for the Simple / Capable / Complex tiers used by LLM nodes.
ResearchDeep-research / web-research preferences.

Base URLs

LLM Aggregator (OpenAI-compatible) — use with fd_agg_
https://flowdot.ai/api/v1
Platform / MCP — use with fd_mcp_
https://flowdot.ai/api/mcp/v1
Hub REST (same auth as MCP) — workflows, apps, knowledge base, etc.
https://flowdot.ai/api/hub

API Reference

Workflows

Executions

Settings & Configuration

Agent Conversations

Teams

FlowDot Apps

Authentication

OAuth & SSO

Live Agent

Audio Providers

LLM Providers

Files

Custom Nodes

Agent Toolkits (MCP)

Knowledge Base & RAG

Learn Center

LLM Aggregator API

Error Codes

The API uses standard HTTP status codes. Here are common errors you may encounter:

Status Code Description
400 bad_request The request was invalid or malformed. This usually means required parameters are missing or have invalid values.
401 unauthorized Authentication is required but was not provided or is invalid.
401 INVALID_AGGREGATOR_KEY The Bearer token passed to an /api/v1/* endpoint is missing, malformed, revoked, or does not start with fd_agg_.
401 AUTH_ERROR Authentication failed during a Live Agent session.
401 invalid_credentials The email or password provided is incorrect.
402 INSUFFICIENT_CREDITS The estimated cost of the request (including a 20% safety buffer) exceeds the user's available credit balance. Returned by /api/v1/* calls funded via the FlowDot credits path.
403 forbidden You don't have permission to access this resource.
404 not_found The requested resource could not be found.
408 SESSION_EXPIRED Your Live Agent session has timed out.
410 token_expired The authentication token has expired.
422 validation_error The request data failed validation checks.
429 rate_limited You've exceeded the rate limit for this endpoint.
429 LIVE_007 You've exceeded the maximum number of concurrent Live Agent sessions (2 per user).
429 MODEL_RATE_LIMITED The upstream provider for the selected model has rate-limited the request. Check the Retry-After header.
500 internal_error An unexpected error occurred on the server.
500 TTS_ERROR Failed to generate audio from text in the Live Agent.
500 STT_ERROR Failed to transcribe audio in the Live Agent.
500 LLM_ERROR The AI language model provider returned an error.
502 UPSTREAM_PROVIDER_ERROR The upstream provider (OpenAI, Anthropic, Google, Redpill, OpenRouter, etc.) returned a 5xx or otherwise failed. Credit is not deducted for failed upstream calls.

OpenAPI Specification

Download the OpenAPI 3.0 spec for use with Postman, Insomnia, or code generators.

Download Spec

Machine-readable API specification in JSON format.

openapi.json

FlowDot API Capabilities

The FlowDot API provides programmatic access to all core platform features. Here's what you can build:

Workflow Management

  • List all workflows in your account
  • Get workflow details and configuration
  • Execute workflows programmatically
  • Clone and duplicate workflows
  • Manage workflow visibility (public/private)

Custom Nodes

  • Create custom nodes with JavaScript
  • Define input and output sockets
  • Add configurable properties
  • Share nodes publicly or keep private
  • Version control for node updates

App Development

  • Create React-based frontend apps
  • Link apps to backend workflows
  • Multi-file app architecture support
  • Publish apps to the marketplace
  • Clone and customize existing apps

Execution & Monitoring

  • View execution history and logs
  • Monitor workflow performance metrics
  • Stream real-time execution results
  • Share execution results publicly
  • Create input presets for quick testing

API Best Practices

Follow these guidelines to build robust integrations with the FlowDot API:

Authentication Security

  • Store API tokens securely using environment variables
  • Never expose tokens in client-side JavaScript code
  • Rotate tokens periodically for enhanced security
  • Use separate tokens for development and production
  • Revoke compromised tokens immediately in the dashboard

Error Handling

  • Implement exponential backoff for rate limit (429) errors
  • Parse error response bodies for detailed messages
  • Log failed requests for debugging purposes
  • Handle network timeouts gracefully with retries
  • Validate input data before making API calls

Performance Optimization

  • Use pagination for large result sets
  • Cache workflow data when possible
  • Batch multiple operations when available
  • Use async execution for long-running workflows
  • Monitor API usage to stay within rate limits

Integration Patterns

  • Use webhooks for real-time workflow completion notifications
  • Implement idempotency for workflow execution requests
  • Store workflow IDs instead of duplicating configurations
  • Use input presets for repeatable test scenarios
  • Version your integration code alongside API updates

SDKs and Developer Tools

FlowDot provides tools to accelerate your API integration:

MCP Server

Connect FlowDot to AI assistants like Claude and Cursor using the Model Context Protocol.

  • npm install: npx "@flowdot.ai/mcp-server"
  • Works with Claude Desktop, Cursor IDE
  • Execute workflows from AI conversations

OpenAPI Specification

Download the OpenAPI 3.0 spec for client generation and API exploration.

  • Compatible with Postman and Insomnia
  • Generate client SDKs in any language
  • Interactive API documentation

Frequently Asked Questions

What is the FlowDot API base URL?

The FlowDot API base URL is https://flowdot.ai/api/mcp/v1 for all production API requests.

How do I get an API token?

Open any app page, click the settings gear (top-right), go to the MCP Tokens tab, and click Generate New Token. Your token will start with fd_mcp_.

What authentication method does the API use?

The FlowDot API uses Bearer token authentication. Include your token in the Authorization header: Authorization: Bearer fd_mcp_xxxxxxxxxxxxx

What are the API rate limits?

Rate limits vary by plan: Free tier allows 60 requests/minute, Pro allows 300 requests/minute, and Enterprise has custom limits. When rate limited, you'll receive a 429 status code.

How do I handle API errors?

The API returns standard HTTP status codes: 400 (Bad Request), 401 (Unauthorized), 403 (Forbidden), 404 (Not Found), 429 (Rate Limited), and 500 (Server Error). All error responses include a JSON body with details.

Can I execute workflows via the API?

Yes, use the POST /workflows/{id}/execute endpoint to run any workflow programmatically. You can pass input values and receive execution results synchronously or asynchronously.

Does FlowDot have an MCP integration?

Yes, FlowDot provides a Model Context Protocol (MCP) server that lets AI assistants like Claude execute your workflows. Install with npx "@flowdot.ai/mcp-server".