Install Jentic One Beta
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.
Step 1: Jentic One Host machine
# On the machine that will host your Jentic One instance:
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Frunwayml.com%2Frunwayml" | shStep 2: Agent machine
# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Frunwayml.com%2Frunwayml" | 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.
What an agent can do with Runway ML API.
Image to video
Text to video
Video to video
Control a character
Generate sound effects
GET STARTED
Speech to speech
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
37 endpoints — runway ml generative ai api for video generation, image generation, audio, avatars, workflows, and more.
METHOD
PATH
DESCRIPTION
/v1/image_to_video
Image to video
/v1/text_to_video
Text to video
/v1/video_to_video
Video to video
/v1/text_to_image
Text/Image to Image
/v1/character_performance
Control a character
/v1/sound_effect
Generate sound effects
/v1/speech_to_speech
Speech to speech
/v1/text_to_speech
Text to speech
/v1/image_to_video
Image to video
/v1/text_to_video
Text to video
/v1/video_to_video
Video to video
/v1/text_to_image
Text/Image to Image
/v1/character_performance
Control a character
/v1/sound_effect
Generate sound effects
/v1/speech_to_speech
Speech to speech
/v1/text_to_speech
Text to speech
What agents get from Jentic-routed access to this vendor.
Setup
Wiring the Runway ML API by hand means handling its bearer token, pointing at api.dev.runwayml.com, and managing your own retries for generation jobs. Through Jentic you install once, import the Runway ML API from the API Directory, store the token once, and your agent calls it.
Permission scoping
The Runway ML API takes its inputs in the request body rather than the URL path, so scope the agent to the operations it needs, such as text to image or text to video, and leave out video to video or speech to speech unless the agent needs them.
Credential isolation
Your Runway ML API token is stored once, encrypted, by your own Jentic One instance and injected at execution time. It never enters the agent's prompt, logs, or context.
Intent-based discovery
Agents search Jentic by intent such as 'generate a video from an image' or 'create speech from text', and Jentic returns the matching Runway ML API operation with its input schema so the agent calls the right endpoint without browsing the reference docs.
Alternatives and complements available in the Jentic catalogue.
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 your Jentic One instance 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 through Jentic One, the self-hosted execution layer, 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.
Can I limit what my agent is allowed to do with the Runway ML API?
Yes. Because Jentic One is self-hosted, you set the rules that decide which Runway ML API operations and credentials your agent can use. You can scope the agent to only the endpoints it needs, such as POST /v1/text_to_image or POST /v1/text_to_video, and leave out others like POST /v1/video_to_video or POST /v1/speech_to_speech. The bearer token is stored once in your own instance and injected only for the operations you have allowed.
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.
This API is usable in Jentic One now. Its AI-readiness score against Jentic's framework shows where it stands today and where improvements would make it even easier for agents to use.
Base layer of spec validity and structural soundness.
Aggregated quality score from linter diagnostics, weighted by severity.
Percentage of `$ref` references that resolve successfully.
Checks whether the API description parses successfully and conforms to its declared specification (e.g., OpenAPI).
Structural correctness score based on schema issues using logarithmic dampening.
Clarity, completeness, and ingestion readiness for developers and tooling.
How richly the API is illustrated with examples.
Percentage of examples that conform to their schemas.
Percentage of operations with complete response definitions (success, client error, server error).
Health of API ingestion, bundling, and resolution within Jentic pipelines.
Semantic breadth, depth, and agent comprehension for AI systems.
Coverage of descriptions across API elements.
Coverage of RFC 9457 Problem Details for error responses.
Coverage, uniqueness, and casing consistency of operationIds for AI inference.
Coverage of summaries across operations/tags/info.
Functional utility, complexity comfort, and AI orchestration readiness.
Agent comfort level based on API operational and structural complexity.
Trust, risk posture, and security compliance.
Average quality of security schemes based on authentication method strength (weakest link for OAuth2).
Findability, semantic richness, and reasoning readiness.
Clarity and depth of descriptions across API elements.
Score it yourself
Every API in the directory is allowlisted, so you can re-score it with no key required.
npx @jentic/api-scorecard-cli score <openapi-url>