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How PlayCanvas’s scores are calculated

The full audit trail, recomputed from the verdict data at build time through the same code that produced the leaderboard: verdict × quality × story weight per cell, cells sum to dimension scores, dimensions blend into the PA Score. Every number on the product page is reproducible from this page alone; for why the formula looks like this, see the methodology.

verdict factors: full ×1.0 · partial ×0.6 · disputed ×0.3 · none ×0.0 · n/a excluded from both sides · cell points = weight × quality × factor · cell max = weight × 10

PA Score27/100

Agent-ready 41.3 × 0.30 = 12.39

API quality 2.6 × 0.20 = 0.52

Openness 38.7 × 0.20 = 7.74

Built-in AI 28.7 × 0.15 = 4.30

Automation 13.0 × 0.15 = 1.95

(12.39 + 0.52 + 7.74 + 4.30 + 1.95) ÷ (0.30 + 0.20 + 0.20 + 0.15 + 0.15) = 26.90 ÷ 1.00 = 26.9

Scores are stored to 1 decimal; the product page’s pills round to whole numbers for display. Each dimension below shows the stories, verdicts, and cited evidence behind its number.

Agent-ready41.3/100×0.30 of the PA blend

Outside-in: can YOUR agent reach and drive this product — API, MCP, CLI, headless runs, agent docs.

Point an agent at llms.txt or agent-oriented docsweight 2

2 (weight) × 9 (quality) × 1.0 (full) = 18.0 of 20 max

  • [probe] https://developer.playcanvas.com/llms.txtPROBE llms.txt: HTTP 200 at https://developer.playcanvas.com/llms.txt # PlayCanvas Developer Documentation > PlayCanvas is an open-source WebGL/WebGPU 3D engine for building games, configur
  • [probe] https://developer.playcanvas.com/llms.txtPROBE runtime (recorded 2026-09-15): developer.playcanvas.com serves llms.txt plus the largest llms-full.txt of the arena (2,053,637 bytes of complete docs), and `npm view playcanvas version` → 2.22.2 (MIT engine runtime, 48,435 weekly downloads). A scriptable Editor API is separately documented at api.playcanvas.com/editor/.

Run the product headlessly / in CI for automationweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

  • [claimed-docs] https://developer.playcanvas.com/user-manual/editor/mcp-server/The PlayCanvas Editor MCP Server connects AI assistants to an open PlayCanvas Editor session. It can modify project data and verify the result through the viewport or a running application.
  • [github] https://github.com/playcanvas/enginenpm install playcanvas
  • [community] https://hn.algolia.com/api/v1/items/24018097When I was working at a mobile game studio, we looked at this as an engine for a project. At the time we decided not to go with it since all your code needs to live on their server and there's no easy local dev environment... too risky a proposition and too limiting for the cost.

Plug MCP servers into this product so it can use their toolsweight 3

3 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 30 max

  • [claimed-docs] https://developer.playcanvas.com/user-manual/editor/mcp-server/The PlayCanvas Editor MCP Server connects AI assistants to an open PlayCanvas Editor session. It can modify project data and verify the result through the viewport or a running application.
  • [probe] https://developer.playcanvas.com/user-manual/editor/mcp-server/PROBE runtime (recorded 2026-09-15): PlayCanvas ships the only OFFICIAL, open, npm-published editor MCP server of the eight engines — `npm view @playcanvas/editor-mcp-server version` → 0.7.1, source at playcanvas/editor-mcp-server (official org, 137 stars, pushed 2026-09-09, 'MCP Server for AI automation of the PlayCanvas Editor'), documented in the user manual.
  • [probe] https://developer.playcanvas.com/user-manual/editor/mcp-server/official MCP server documented at https://developer.playcanvas.com/user-manual/editor/mcp-server/

Connect an agent via an official MCP serverweight 3

3 (weight) × 9 (quality) × 1.0 (full) = 27.0 of 30 max

  • [claimed-docs] https://developer.playcanvas.com/user-manual/editor/mcp-server/The PlayCanvas Editor MCP Server connects AI assistants to an open PlayCanvas Editor session. It can modify project data and verify the result through the viewport or a running application.
  • [probe] https://developer.playcanvas.com/user-manual/editor/mcp-server/official MCP server documented at https://developer.playcanvas.com/user-manual/editor/mcp-server/
  • [probe] https://developer.playcanvas.com/user-manual/editor/mcp-server/PROBE runtime (recorded 2026-09-15): PlayCanvas ships the only OFFICIAL, open, npm-published editor MCP server of the eight engines — `npm view @playcanvas/editor-mcp-server version` → 0.7.1, source at playcanvas/editor-mcp-server (official org, 137 stars, pushed 2026-09-09, 'MCP Server for AI automation of the PlayCanvas Editor'), documented in the user manual.

Use an official CLIweight 2

2 (weight) × 4 (quality) × 0.6 (partial) = 4.8 of 20 max

  • [claimed-docs] https://developer.playcanvas.com/user-manual/getting-started/Use `create-playcanvas` to scaffold a Vite and TypeScript project for the Engine, React, or Web Components from one of 12 runnable starters.

Drive the product through a documented public APIweight 3

3 (weight) × 7 (quality) × 1.0 (full) = 21.0 of 30 max

  • [claimed-docs] https://api.playcanvas.com/editor/This module is essential for developers looking to streamline their workflow, create custom editing tools, or integrate external data and systems into the PlayCanvas Editor environment.
  • [claimed-docs] https://developer.playcanvas.com/user-manual/editor/mcp-server/The PlayCanvas Editor MCP Server connects AI assistants to an open PlayCanvas Editor session. It can modify project data and verify the result through the viewport or a running application.
  • [claimed-docs] https://developer.playcanvas.com/user-manual/engine/Build applications against the Engine directly. Learn how to use the Engine standalone.
  • [probe] https://developer.playcanvas.com/user-manual/editor/mcp-server/PROBE runtime (recorded 2026-09-15): PlayCanvas ships the only OFFICIAL, open, npm-published editor MCP server of the eight engines — `npm view @playcanvas/editor-mcp-server version` → 0.7.1, source at playcanvas/editor-mcp-server (official org, 137 stars, pushed 2026-09-09, 'MCP Server for AI automation of the PlayCanvas Editor'), documented in the user manual.
  • [probe] https://developer.playcanvas.com/openapi.jsonPROBE openapi: all candidate paths 404 (https://developer.playcanvas.com/openapi.json, https://developer.playcanvas.com/swagger.json, https://developer.playcanvas.com/api/openapi.json, https://developer.playcanvas.com/.well-known/openapi.json)
  • [probe] https://developer.playcanvas.com/llms.txtPROBE runtime (recorded 2026-09-15): developer.playcanvas.com serves llms.txt plus the largest llms-full.txt of the arena (2,053,637 bytes of complete docs), and `npm view playcanvas version` → 2.22.2 (MIT engine runtime, 48,435 weekly downloads). A scriptable Editor API is separately documented at api.playcanvas.com/editor/.

Issue scoped/least-privilege API credentials for an agentweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

  • [claimed-docs] https://developer.playcanvas.com/user-manual/editor/mcp-server/The PlayCanvas Editor MCP Server connects AI assistants to an open PlayCanvas Editor session. It can modify project data and verify the result through the viewport or a running application.
  • [probe] https://developer.playcanvas.com/user-manual/editor/mcp-server/official MCP server documented at https://developer.playcanvas.com/user-manual/editor/mcp-server/
  • [probe] https://developer.playcanvas.com/user-manual/editor/mcp-server/PROBE runtime (recorded 2026-09-15): PlayCanvas ships the only OFFICIAL, open, npm-published editor MCP server of the eight engines — `npm view @playcanvas/editor-mcp-server version` → 0.7.1, source at playcanvas/editor-mcp-server (official org, 137 stars, pushed 2026-09-09, 'MCP Server for AI automation of the PlayCanvas Editor'), documented in the user manual.

Build against official SDKsweight 2

2 (weight) × 8 (quality) × 1.0 (full) = 16.0 of 20 max

  • [claimed-docs] https://developer.playcanvas.com/user-manual/getting-started/Use `create-playcanvas` to scaffold a Vite and TypeScript project for the Engine, React, or Web Components from one of 12 runnable starters.
  • [claimed-docs] https://developer.playcanvas.com/user-manual/engine/Build applications against the Engine directly. Learn how to use the Engine standalone.
  • [claimed-docs] https://api.playcanvas.com/editor/This module is essential for developers looking to streamline their workflow, create custom editing tools, or integrate external data and systems into the PlayCanvas Editor environment.
  • [claimed-docs] https://developer.playcanvas.com/user-manual/getting-started/Already use React, want declarative 3D scenes, or need to integrate 3D into React apps
  • [github] https://github.com/playcanvas/enginenpm install playcanvas
  • [probe] https://developer.playcanvas.com/user-manual/editor/mcp-server/PROBE runtime (recorded 2026-09-15): PlayCanvas ships the only OFFICIAL, open, npm-published editor MCP server of the eight engines — `npm view @playcanvas/editor-mcp-server version` → 0.7.1, source at playcanvas/editor-mcp-server (official org, 137 stars, pushed 2026-09-09, 'MCP Server for AI automation of the PlayCanvas Editor'), documented in the user manual.
  • [probe] https://developer.playcanvas.com/llms.txtPROBE runtime (recorded 2026-09-15): developer.playcanvas.com serves llms.txt plus the largest llms-full.txt of the arena (2,053,637 bytes of complete docs), and `npm view playcanvas version` → 2.22.2 (MIT engine runtime, 48,435 weekly downloads). A scriptable Editor API is separately documented at api.playcanvas.com/editor/.
  • [community] https://hn.algolia.com/api/v1/items/24018097You can use it in conjunction with pretty much any other JS framework available.

Subscribe to events via webhooksweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Agent-ready = 86.8 ÷ 210 × 100 = 41.3

API quality2.6/100×0.20 of the PA blend

The programmable surface once an agent is there — machine-readable spec, interactive docs, sandbox, versioning discipline.

Explore an interactive API reference with runnable examplesweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Download a machine-readable API spec (OpenAPI or equivalent)weight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

  • [probe] https://developer.playcanvas.com/openapi.jsonPROBE openapi: all candidate paths 404 (https://developer.playcanvas.com/openapi.json, https://developer.playcanvas.com/swagger.json, https://developer.playcanvas.com/api/openapi.json, https://developer.playcanvas.com/.well-known/openapi.json)

Test against a sandbox environment without touching production dataweight 1

1 (weight) × 3 (quality) × 0.6 (partial) = 1.8 of 10 max

  • [claimed-docs] https://developer.playcanvas.com/user-manual/editor/Checkpoints — Snapshot your project at any point and roll back if needed
  • [claimed-docs] https://developer.playcanvas.com/user-manual/editor/mcp-server/The PlayCanvas Editor MCP Server connects AI assistants to an open PlayCanvas Editor session. It can modify project data and verify the result through the viewport or a running application.
  • [claimed-docs] https://developer.playcanvas.com/user-manual/editor/With live editing, you can tweak materials, adjust positions, and even modify scripts while your application runs.

Rely on versioned APIs with a documented deprecation policyweight 2

2 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

  • [probe] https://developer.playcanvas.com/openapi.jsonPROBE openapi: all candidate paths 404 (https://developer.playcanvas.com/openapi.json, https://developer.playcanvas.com/swagger.json, https://developer.playcanvas.com/api/openapi.json, https://developer.playcanvas.com/.well-known/openapi.json)

API quality = 1.8 ÷ 70 × 100 = 2.6

Openness38.7/100×0.20 of the PA blend

Can you leave, inspect, or self-host — data export, open source, portability.

Do everything through the API that I can do in the UIweight 2

2 (weight) × 6 (quality) × 0.6 (partial) = 7.2 of 20 max

  • [claimed-docs] https://developer.playcanvas.com/user-manual/editor/mcp-server/The PlayCanvas Editor MCP Server connects AI assistants to an open PlayCanvas Editor session. It can modify project data and verify the result through the viewport or a running application.
  • [claimed-docs] https://api.playcanvas.com/editor/This module is essential for developers looking to streamline their workflow, create custom editing tools, or integrate external data and systems into the PlayCanvas Editor environment.
  • [probe] https://developer.playcanvas.com/user-manual/editor/mcp-server/official MCP server documented at https://developer.playcanvas.com/user-manual/editor/mcp-server/
  • [probe] https://developer.playcanvas.com/user-manual/editor/mcp-server/PROBE runtime (recorded 2026-09-15): PlayCanvas ships the only OFFICIAL, open, npm-published editor MCP server of the eight engines — `npm view @playcanvas/editor-mcp-server version` → 0.7.1, source at playcanvas/editor-mcp-server (official org, 137 stars, pushed 2026-09-09, 'MCP Server for AI automation of the PlayCanvas Editor'), documented in the user manual.
  • [probe] https://developer.playcanvas.com/openapi.jsonPROBE openapi: all candidate paths 404 (https://developer.playcanvas.com/openapi.json, https://developer.playcanvas.com/swagger.json, https://developer.playcanvas.com/api/openapi.json, https://developer.playcanvas.com/.well-known/openapi.json)
  • [claimed-docs] https://developer.playcanvas.com/user-manual/getting-started/Want drag-and-drop scene building, real-time collaboration, or prefer visual tools over code

Export all of my data in open formats and leaveweight 3

3 (weight) × 5 (quality) × 0.6 (partial) = 9.0 of 30 max

  • [claimed-docs] https://playcanvas.com/plansDownload Apps for Self-hosting
  • [community] https://hn.algolia.com/api/v1/items/24018097When I was working at a mobile game studio, we looked at this as an engine for a project. At the time we decided not to go with it since all your code needs to live on their server and there's no easy local dev environment... too risky a proposition and too limiting for the cost.
  • [community] https://hn.algolia.com/api/v1/items/24018097It's certainly not super obvious to setup but there are ways to use PlayCanvas with local setup... with some tinkering you can have hot module replacement and front-end libraries integrated for a very smooth and web-dev-y modern workflow.
  • [community] https://hn.algolia.com/api/v1/items/24018097I recommend checking out the newly released playcanvas-sync tools which let you map your PlayCanvas project's assets to your local machine's file system.
  • [community] https://hn.algolia.com/api/v1/items/24018097I think the engine is open source; but the real appeal is using the real time collab online tool, which is proprietary and had the drawbacks you mention.
  • [github] https://github.com/playcanvas/enginenpm install playcanvas

Read the product's source under an open licenseweight 2

2 (weight) × 9 (quality) × 1.0 (full) = 18.0 of 20 max

  • [github] https://github.com/playcanvas/engineGaussian Splatting - First-class support for loading and rendering 3D Gaussian Splats
  • [github] https://github.com/playcanvas/enginenpm install playcanvas
  • [community] https://hn.algolia.com/api/v1/items/24018097I think the engine is open source; but the real appeal is using the real time collab online tool, which is proprietary and had the drawbacks you mention.
  • [community] https://news.ycombinator.com/item?id=28023362It's an open source javascript game engine that is kinda like halfway between something like three.js and e.g. Unity—pretty lightweight, but still comes with a nice scene editor etc.
  • [probe] https://developer.playcanvas.com/llms.txtPROBE runtime (recorded 2026-09-15): developer.playcanvas.com serves llms.txt plus the largest llms-full.txt of the arena (2,053,637 bytes of complete docs), and `npm view playcanvas version` → 2.22.2 (MIT engine runtime, 48,435 weekly downloads). A scriptable Editor API is separately documented at api.playcanvas.com/editor/.

Self-host the core productweight 3

3 (weight) × 5 (quality) × 0.3 (disputed) = 4.5 of 30 max

  • [claimed-docs] https://developer.playcanvas.com/user-manual/engine/Build applications against the Engine directly. Learn how to use the Engine standalone.
  • [github] https://github.com/playcanvas/enginenpm install playcanvas
  • [claimed-docs] https://playcanvas.com/plansDownload Apps for Self-hosting
  • [community] https://hn.algolia.com/api/v1/items/24018097When I was working at a mobile game studio, we looked at this as an engine for a project. At the time we decided not to go with it since all your code needs to live on their server and there's no easy local dev environment... too risky a proposition and too limiting for the cost.
  • [community] https://hn.algolia.com/api/v1/items/24018097I think the engine is open source; but the real appeal is using the real time collab online tool, which is proprietary and had the drawbacks you mention.
  • [community] https://news.ycombinator.com/item?id=24018097I'd love to be able to use their scene editor offline, uploading assets is a deal breaker.

Openness = 38.7 ÷ 100 × 100 = 38.7

Built-in AI28.7/100×0.15 of the PA blend

Inside-out: how agentic the product itself is for its users — built-in assistants, autonomous features.

Get AI-generated insights and suggestions from my data inside the productweight 2

2 (weight) × 4 (quality) × 0.6 (partial) = 4.8 of 20 max

  • [claimed-docs] https://developer.playcanvas.com/user-manual/editor/mcp-server/The PlayCanvas Editor MCP Server connects AI assistants to an open PlayCanvas Editor session. It can modify project data and verify the result through the viewport or a running application.
  • [probe] https://developer.playcanvas.com/user-manual/editor/mcp-server/official MCP server documented at https://developer.playcanvas.com/user-manual/editor/mcp-server/
  • [probe] https://developer.playcanvas.com/user-manual/editor/mcp-server/PROBE runtime (recorded 2026-09-15): PlayCanvas ships the only OFFICIAL, open, npm-published editor MCP server of the eight engines — `npm view @playcanvas/editor-mcp-server version` → 0.7.1, source at playcanvas/editor-mcp-server (official org, 137 stars, pushed 2026-09-09, 'MCP Server for AI automation of the PlayCanvas Editor'), documented in the user manual.

Set up automations that run autonomously in the backgroundweight 2

2 (weight) × 4 (quality) × 0.6 (partial) = 4.8 of 20 max

  • [claimed-docs] https://developer.playcanvas.com/user-manual/editor/mcp-server/The PlayCanvas Editor MCP Server connects AI assistants to an open PlayCanvas Editor session. It can modify project data and verify the result through the viewport or a running application.
  • [probe] https://developer.playcanvas.com/user-manual/editor/mcp-server/official MCP server documented at https://developer.playcanvas.com/user-manual/editor/mcp-server/
  • [probe] https://developer.playcanvas.com/user-manual/editor/mcp-server/PROBE runtime (recorded 2026-09-15): PlayCanvas ships the only OFFICIAL, open, npm-published editor MCP server of the eight engines — `npm view @playcanvas/editor-mcp-server version` → 0.7.1, source at playcanvas/editor-mcp-server (official org, 137 stars, pushed 2026-09-09, 'MCP Server for AI automation of the PlayCanvas Editor'), documented in the user manual.

Delegate tasks to a built-in AI assistant inside the productweight 3

3 (weight) × 5 (quality) × 0.6 (partial) = 9.0 of 30 max

  • [claimed-docs] https://developer.playcanvas.com/user-manual/editor/mcp-server/The PlayCanvas Editor MCP Server connects AI assistants to an open PlayCanvas Editor session. It can modify project data and verify the result through the viewport or a running application.
  • [probe] https://developer.playcanvas.com/user-manual/editor/mcp-server/official MCP server documented at https://developer.playcanvas.com/user-manual/editor/mcp-server/
  • [probe] https://developer.playcanvas.com/user-manual/editor/mcp-server/PROBE runtime (recorded 2026-09-15): PlayCanvas ships the only OFFICIAL, open, npm-published editor MCP server of the eight engines — `npm view @playcanvas/editor-mcp-server version` → 0.7.1, source at playcanvas/editor-mcp-server (official org, 137 stars, pushed 2026-09-09, 'MCP Server for AI automation of the PlayCanvas Editor'), documented in the user manual.

Operate the product with natural-language commandsweight 2

2 (weight) × 6 (quality) × 0.6 (partial) = 7.2 of 20 max

  • [claimed-docs] https://developer.playcanvas.com/user-manual/editor/mcp-server/The PlayCanvas Editor MCP Server connects AI assistants to an open PlayCanvas Editor session. It can modify project data and verify the result through the viewport or a running application.
  • [probe] https://developer.playcanvas.com/user-manual/editor/mcp-server/official MCP server documented at https://developer.playcanvas.com/user-manual/editor/mcp-server/
  • [probe] https://developer.playcanvas.com/user-manual/editor/mcp-server/PROBE runtime (recorded 2026-09-15): PlayCanvas ships the only OFFICIAL, open, npm-published editor MCP server of the eight engines — `npm view @playcanvas/editor-mcp-server version` → 0.7.1, source at playcanvas/editor-mcp-server (official org, 137 stars, pushed 2026-09-09, 'MCP Server for AI automation of the PlayCanvas Editor'), documented in the user manual.

Built-in AI = 25.8 ÷ 90 × 100 = 28.7

Automation13.0/100×0.15 of the PA blend

Depth of automation primitives — rules, scheduling, bulk operations, webhooks.

Perform bulk operations across many items at onceweight 2

2 (weight) × 4 (quality) × 0.6 (partial) = 4.8 of 20 max

  • [claimed-docs] https://api.playcanvas.com/editor/This module is essential for developers looking to streamline their workflow, create custom editing tools, or integrate external data and systems into the PlayCanvas Editor environment.
  • [claimed-docs] https://developer.playcanvas.com/user-manual/editor/mcp-server/The PlayCanvas Editor MCP Server connects AI assistants to an open PlayCanvas Editor session. It can modify project data and verify the result through the viewport or a running application.
  • [probe] https://developer.playcanvas.com/user-manual/editor/mcp-server/PROBE runtime (recorded 2026-09-15): PlayCanvas ships the only OFFICIAL, open, npm-published editor MCP server of the eight engines — `npm view @playcanvas/editor-mcp-server version` → 0.7.1, source at playcanvas/editor-mcp-server (official org, 137 stars, pushed 2026-09-09, 'MCP Server for AI automation of the PlayCanvas Editor'), documented in the user manual.

Define rules that trigger actions automatically on eventsweight 3

3 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 30 max

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Schedule recurring jobs or workflowsweight 2

n/a — not applicable to this product: excluded from numerator and denominator

no evidence cited — the verdict rests on absence of evidence, re-checked on refresh

Version, review, and roll back my automationsweight 1

1 (weight) × 5 (quality) × 0.6 (partial) = 3.0 of 10 max

  • [claimed-docs] https://developer.playcanvas.com/user-manual/editor/Checkpoints — Snapshot your project at any point and roll back if needed
  • [claimed-docs] https://developer.playcanvas.com/user-manual/editor/mcp-server/The PlayCanvas Editor MCP Server connects AI assistants to an open PlayCanvas Editor session. It can modify project data and verify the result through the viewport or a running application.
  • [community] https://hn.algolia.com/api/v1/items/40379982I think Playcanvas would do well to focus on the basics, like being able to export/import variables in the standard js way, being able to develop offline, using your own source control. I could go on.

Automation = 7.8 ÷ 60 × 100 = 13.0