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The character pipelineas an API

Generate a model, rig it, retarget motion onto it, pull from a CC0 asset library. One job model across every step, driven from your own code or from an AI agent.

What this is

Cinevva's platform covers the unglamorous middle of 3D character work: taking a static mesh and making it a thing your engine can actually play animations on. It is the same pipeline behind the Cinevva tools, which have rigged thousands of models for game creators.

bash
curl -X POST https://api.cinevva.com/v1/rigs \
  -H "Authorization: Bearer $CINEVVA_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{ "model_url": "https://example.com/goblin.glb", "rig_type": "biped" }'
json
{
  "id": "8f14e45f-ceea-467a-9c1a-1f0d0e6b7a21",
  "object": "rig",
  "status": "queued",
  "poll_url": "/v1/rigs/8f14e45f-ceea-467a-9c1a-1f0d0e6b7a21",
  "estimated_seconds": 30
}

Poll poll_url until status is succeeded, then download model_url. The quickstart walks the whole loop in about five minutes.

What you can call today

CapabilityHow you use itBilled
RiggingPOST /v1/rigsPer rig
Model generationPOST /v1/modelsPer model
Retargetinganimation_url on a rig, or free in your enginePer clip, server-side only
Animation catalogGET /v1/animationsFree
Asset libraryGET /v1/assetsFree
MCP serverhttps://api.cinevva.com/create/mcpPer underlying operation
Optimize, convert, inspectBrowser toolsFree

Optimization and format conversion run entirely in your browser today, so they are tools rather than endpoints. They are listed on the tools page with what each one does, and flagged honestly where an API does not exist yet.

What it costs

API access requires an active Standard or Pro subscription, and work is billed per operation against your credit balance (100 credits = $1.00).

OperationCreditsApprox. USD
Rig, Fast engine2$0.02
Rig, Pro engine31$0.31
Retarget, per clip13$0.13

Browsing the catalogs and polling a job cost nothing. Full detail on the pricing page.

Where to go next

Start with the quickstart if you want working code, or how rigging works if you would rather understand the pipeline first. Read model requirements before you send production assets: most failed rigs are input problems, and they are predictable.