Decart
Decart is an AI research lab and API platform building real-time world models — foundation models that generate and transform video frame-by-frame as they are watched. Its Decart API Platform (platform.decart.ai) exposes the Lucy family of realtime and batch video/image models plus the Oasis promptable world model through three surfaces: a Realtime API that edits a live WebRTC camera or video stream with text prompts and reference images, a Queue API that submits asynchronous video jobs and polls them to completion, and a Process API for synchronous image editing. The platform ships first-party JavaScript, Python, Swift and Android SDKs, ephemeral client tokens for browser and mobile apps, a Files API for reusable reference images, and a gRPC action-to-video session protocol for Oasis 3 Preview. Pricing is pay-as-you-go and metered per generated second (video and realtime) or per generation (images).
Decart publishes 1 API on the APIs.io network. Tagged areas include Artificial Intelligence, Machine Learning, Video, Video Generation, and Video Editing.
Decart’s developer surface includes documentation, API reference, getting-started guide, quickstart, engineering blog, support, pricing, and 36 more developer resources.
Kin Score
APIs 4
Individual APIs this provider publishes, each with its own machine-readable definition.
Decart API
The Decart REST API at api.decart.ai. Covers the Queue API (submit an asynchronous video job against a Lucy model, poll its status, download the rendered content), the Process A...
Decart Realtime API
The realtime video transformation surface. A client opens a WebRTC session (LiveKit-managed transport) against a Lucy realtime model and streams camera or video frames in; the m...
Decart Oasis Action-to-Video (gRPC)
A gRPC session protocol for Oasis 3 Preview, Decart's promptable real-time world model. A client initializes a session, sets a scene with a text prompt, then loops Infer calls t...
Decart Documentation MCP Server
A hosted, unauthenticated Model Context Protocol server at docs.platform.decart.ai/mcp that exposes the Decart API Platform documentation to agents. Three tools: full-text searc...
MCP Servers 1
Model Context Protocol servers that expose these APIs to AI agents.
decart-mcp.yml
MCP SERVERPricing Plans 1
Published pricing tiers and plan structures.
Decart Plans Pricing
PLANSRate Limits 1
Documented rate limits and quota policies.
Decart Rate Limits
RATE LIMITSSecurity Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
Recommended x-agentic-access execution contracts for AI agents.
Resources
Get Started 5
Portal, sign-up, and the first successful call
Documentation 2
Reference material describing how the API behaves
Agent Surfaces 5
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 5
Pagination, idempotency, versioning, errors, and events
Build 6
SDKs, sample code, and the tooling you integrate with
Access & Security 2
Authentication, authorization, and security posture
Operate 6
Status, limits, changes, and where to get help
Commercial 4
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
Other 6
Properties that don't map to a standard resource type
Source (apis.yml)
This is an independent, third-party profile of Decart, published by API Evangelist. We do not operate, host, resell, or support these APIs, and we are not affiliated with or endorsed by the company unless stated above. Everything here is built from publicly available information — the company's own site, developer portal, documentation, public repositories, and the specifications it publishes for public use. Nothing is obtained by breaching a system, defeating an access control, or using credentials.
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