Tripo AI (VAST AI Research) is an AI 3D content platform that converts text, images, and multi-view photographs into production-ready 3D assets. The platform exposes a REST API at api.tripo3d.ai that orchestrates a unified "task" abstraction across text-to-3D, image-to-3D, multi-view-to-3D, AI texturing, mesh segmentation, model refinement, stylization, format conversion, automatic rigging, retargeting, and one-shot animation. An official Python SDK, an MCP server, and engine plugins for Blender, Unity, Unreal Engine, ComfyUI, Cocos, and Godot wrap the API for creative and game pipelines. Open-source research artifacts (TripoSR, TripoSG, UniRig) ship separately on GitHub under the VAST-AI-Research organization.
Tripo AI is listed with 9 APIs on the APIs.io network. Tagged areas include 3D, Generative AI, 3D Modeling, Text-to-3D, and Image-to-3D.
Tripo AI’s developer surface includes documentation, signup flow, pricing, GitHub presence, engineering blog, and 12 more developer resources.
Regulatory Posture applies to this provider. Its tags matched the
AI & Biometrics regime, so
Regulatory Posture carries 15 points of the composite.
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Open Source Surface applies to this provider. This product is open source and we
read its repository directly, so Open Source Surface carries
10 points of the composite. It is scored from what the repository actually
publishes — a security policy, a contribution guide, a release history, a code of conduct — read live from the
provider rather than inferred from our own catalog pointers.
This facet adds; nothing was taken away to make room for it. An open-source project is not excused from
the commercial facets, because exemption would strip it of the points it does earn.
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will drop the facet rather than have you publish against it.
Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for
this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero:
never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and
several others — scorable at all.
The six quality facets above are damped to 75 points between them,
because both conditional facets apply and carry
25 points together. That is why each facet's contribution is shown against a damped
maximum: raising a quality facet moves the composite by 75% of its nominal
weight, not 100%. The full arithmetic is at apis.io/rating/.
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Agent readiness — checks not met, largest first (exact, from this profile):
Machine-Readable Auth+10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey) Ask about this →
Idempotency+9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented) Ask about this →
Stable Error Semantics+8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes Ask about this →
12 more unmet checks in the Agent Readiness table above.
Kin Score — facets with the most composite points still available (weight × headroom):
Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.
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The Kin Score Market layer reads a provider inside its market:
its position, and how deep its integrations go. Depth is only comparable within a position. Provisional and unweighted:
not part of the Kin Score or agent readiness.
Registered MCP server and declares compatibility are report only — not weighted.
Undeclared means we found nothing we can read, so there is no number: we never infer integrations.
Unified task API for all Tripo generative 3D operations. A single POST creates an asynchronous task keyed by task_type (text_to_model, image_to_model, multiview_to_model, textur...
Upload endpoint for source assets (reference images, multi-view image sets, base meshes) consumed by downstream tasks. Returns a handle that is passed into subsequent task creat...
Returns the calling API key's remaining credit balance and any frozen credits held against in-flight tasks. Used by client integrations to surface usage and gate expensive opera...
Server-to-server webhook delivery of task lifecycle events. Customers register a callback URL and receive notifications when a Tripo task transitions to a terminal state, removi...
Official Python SDK wrapping the Tripo OpenAPI. Provides synchronous and asynchronous clients, typed task helpers, balance retrieval, and file-upload utilities. Auth via TRIPO_A...
Official Model Context Protocol server that exposes Tripo generation tasks as MCP tools, allowing MCP-aware AI clients (Claude Desktop, IDEs, agents) to invoke text-to-3D, image...
Official Blender extension that wraps the Tripo API so Blender users can generate, texture, refine, and import 3D models directly into a Blender scene from inside the editor.
Open-source single-image 3D reconstruction model released by VAST AI Research in collaboration with Stability AI. Distributed as model weights and inference code; complementary ...
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Tripo AI API pricing
Not yet checked against Tripo AI's own pricing page. Compiled by API Evangelist on 2026-05-22; confirm before you rely on a figure. A free plan or tier is listed.
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