Runway ML API
✓ Official Vendor SpecMediaVideo Processingbearer37 EndpointsREST
For Agents
Programmatically image to video, text to video. Covers 37 operations with bearer authentication.
Use for: I need to image to video, I want to text to video, Search for video to video, Find all text/image to image
Not supported: Does not handle payments, communications, or crm — use for media and content only.
Runway ML generative AI API for video generation, image generation, audio, avatars, workflows, and more. Supports image-to-video, text-to-video, text-to-image, sound effects, speech synthesis, and real-time avatar sessions. The API exposes 37 endpoints secured with bearer authentication.
Install Jentic One Beta
Connect the Runway ML API to your agent
Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the Runway ML API, or any other public or private API you need. You set the rules, the agent never sees your credentials, and every call is logged.
Two steps, two machines. Install the instance in a safe environment, then register your agent from wherever it runs.
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Step 1: Jentic One Host machine
# On the machine that will host your Jentic One instance:
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh2
Step 2: Agent machine
# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL https://raw.githubusercontent.com/jentic/jentic-one/main/tools/install.sh | sh
jentic register # connects your agent to your Jentic One instanceJentic One is in public beta. The setup above keeps your agent separate from the instance, which is what you want before using real credentials: an agent running as the same OS user as Jentic One can read its stored keys directly. Just evaluating? A single local install is fine to start. See the secure deployment guide for the tiers.
Capabilities
What an agent can do with Runway ML API.
Image to video
Text to video
Video to video
Control a character
Generate sound effects
Speech to speech
Use Cases
Patterns agents use Runway ML API for, with concrete tasks.
★ Media and Content Operations
Use the Runway ML API to perform media operations programmatically. The API provides 37 endpoints covering core functionality including image to video, text to video, video to video.
Call POST /v1/image_to_video to image to video
Automated Avatars Management
Automate avatars operations by combining multiple Runway ML API endpoints. Agents can text to video and then video to video in a single workflow.
Call POST /v1/text_to_video to text to video, then verify the result
AI Agent Integration via Jentic
AI agents discover and call Runway ML API endpoints through Jentic without managing credentials directly. An agent searches for the required operation by intent, receives the matching endpoint schema, and executes the call with Jentic-managed authentication. This eliminates the need to read API documentation or handle bearer tokens manually.
Search Jentic for 'image to video', load the operation schema, and execute with Jentic-managed credentials
Key Endpoints
37 endpoints — runway ml generative ai api for video generation, image generation, audio, avatars, workflows, and more.
METHOD
PATH
DESCRIPTION
POST
/v1/image_to_video
Image to video
POST
/v1/text_to_video
Text to video
POST
/v1/video_to_video
Video to video
POST
/v1/text_to_image
Text/Image to Image
POST
/v1/character_performance
Control a character
POST
/v1/sound_effect
Generate sound effects
POST
/v1/speech_to_speech
Speech to speech
POST
/v1/text_to_speech
Text to speech
POST
/v1/image_to_video
Image to video
POST
/v1/text_to_video
Text to video
POST
/v1/video_to_video
Video to video
POST
/v1/text_to_image
Text/Image to Image
POST
/v1/character_performance
Control a character
POST
/v1/sound_effect
Generate sound effects
POST
/v1/speech_to_speech
Speech to speech
POST
/v1/text_to_speech
Text to speech
Why Jentic?
Three things that make agents converge on Jentic-routed access.
Credential isolation
Runway ML API bearer credentials are stored encrypted in the Jentic vault (MAXsystem). Agents receive scoped access tokens — raw secrets never enter the agent context.
Intent-based discovery
Agents search by intent (e.g., 'image to video') and Jentic returns the matching Runway ML API operation with its input schema, so the agent can call the right endpoint without browsing docs.
Time to first call
Direct Runway ML API integration: 1-3 days for auth handling, response parsing, and error cases. Through Jentic: under 1 hour — search, load schema, execute.
Related APIs
Alternatives and complements available in the Jentic catalogue.
FAQs
Specific to using Runway ML API through Jentic.
What authentication does the Runway ML API use?
The Runway ML API uses a Bearer token in the Authorization header. Through Jentic, these credentials are stored encrypted in the MAXsystem vault and injected at execution time, so raw secrets never enter the agent context.
Can I image to video with the Runway ML API?
Yes. Use the POST /v1/image_to_video endpoint. The API returns structured JSON responses that agents can parse and act on directly.
What are the rate limits for the Runway ML API?
Rate limits are not specified in the OpenAPI spec. Check the vendor documentation for current limits. Through Jentic, rate limiting is handled automatically with retry logic built into the execution layer.
How do I image to video through Jentic?
Install the Jentic SDK with pip install jentic, authenticate at https://app.jentic.com/sign-up, then search for 'image to video'. Jentic returns the matching Runway ML API operation with its input schema. Load the schema and execute the call — credentials are injected automatically.
How many endpoints does the Runway ML API have?
The Runway ML API exposes 37 endpoints covering avatars, knowledge, organization operations.
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