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How Muse’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 Score8/100

Agent-ready 0.0 × 0.30 = 0.00

API quality 0.0 × 0.20 = 0.00

Openness 0.0 × 0.20 = 0.00

Built-in AI 52.2 × 0.15 = 7.83

Automation 3.0 × 0.15 = 0.45

(0.00 + 0.00 + 0.00 + 7.83 + 0.45) ÷ (0.30 + 0.20 + 0.20 + 0.15 + 0.15) = 8.28 ÷ 1.00 = 8.3

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-ready0.0/100×0.30 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

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

Run the product headlessly / in CI for automationweight 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

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://muse.aiIf a task needs a tool that doesn't exist, your agent builds it for you.
  • [claimed-docs] https://introducing.muse.aiMuse has its own computer, with a file system and a terminal, so it can write its own code and build the tools a task needs.

Connect an agent via an official MCP serverweight 3

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

Use an official CLIweight 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

Drive the product through a documented public APIweight 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

Issue scoped/least-privilege API credentials for an agentweight 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

Build against official SDKsweight 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

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 = 0.0 ÷ 140 × 100 = 0.0

API quality0.0/100×0.20 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

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

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

Test against a sandbox environment without touching production dataweight 1

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

Rely on versioned APIs with a documented deprecation policyweight 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

API quality = 0.0 ÷ 20 × 100 = 0.0

Openness0.0/100×0.20 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) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

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

Export all of my data in open formats and leaveweight 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

Read the product's source under an open licenseweight 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

Self-host the core productweight 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

Openness = 0.0 ÷ 100 × 100 = 0.0

Built-in AI52.2/100×0.15 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) × 5 (quality) × 0.6 (partial) = 6.0 of 20 max

  • [claimed-docs] https://apps.apple.com/us/app/muse-from-meta/id6760173601Link your email, calendar, Instagram, Facebook, health and fitness data, and finances.
  • [claimed-docs] https://introducing.muse.aiThe Goals tab is where Muse keeps track of all this for you, and you can interact directly there or talk to it about these tasks in chat.
  • [claimed-docs] https://muse.aiIf a task needs a tool that doesn't exist, your agent builds it for you.

Set up automations that run autonomously in the backgroundweight 2

2 (weight) × 5 (quality) × 0.3 (disputed) = 3.0 of 20 max

  • [claimed-docs] https://introducing.muse.aiThe Goals tab is where Muse keeps track of all this for you, and you can interact directly there or talk to it about these tasks in chat.
  • [claimed-docs] https://muse.aiIf a task needs a tool that doesn't exist, your agent builds it for you.
  • [claimed-docs] https://introducing.muse.aiTapping on your Muse avatar will show you its full activity log as well as permissions you’ve approved.
  • [claimed-docs] https://about.fb.com/news/2026/09/introducing-muse-personal-ai-agent/Muse shows people a complete audit trail of everything it has done and plans to do.
  • [community] https://news.ycombinator.com/item?id=49699527Blog post title/finding: the author stress-tested Meta Muse until its agent control plane started timing out, exposing failure points in the agent's control architecture under load.

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

3 (weight) × 8 (quality) × 1.0 (full) = 24.0 of 30 max

  • [claimed-docs] https://introducing.muse.aiMuse has its own computer, with a file system and a terminal, so it can write its own code and build the tools a task needs.
  • [claimed-docs] https://introducing.muse.aiThe Goals tab is where Muse keeps track of all this for you, and you can interact directly there or talk to it about these tasks in chat.
  • [claimed-docs] https://muse.aiIf a task needs a tool that doesn't exist, your agent builds it for you.
  • [claimed-docs] https://introducing.muse.aiTapping on your Muse avatar will show you its full activity log as well as permissions you’ve approved.
  • [claimed-docs] https://about.fb.com/news/2026/09/introducing-muse-personal-ai-agent/Muse shows people a complete audit trail of everything it has done and plans to do.

Operate the product with natural-language commandsweight 2

2 (weight) × 7 (quality) × 1.0 (full) = 14.0 of 20 max

  • [claimed-docs] https://introducing.muse.aiThe Goals tab is where Muse keeps track of all this for you, and you can interact directly there or talk to it about these tasks in chat.
  • [claimed-docs] https://introducing.muse.aisome people still wanted separate context for certain topics — which made sense as projects grew more complex. So we built side chats.
  • [claimed-docs] https://introducing.muse.aiTapping on your Muse avatar will show you its full activity log as well as permissions you’ve approved.
  • [community] https://news.ycombinator.com/item?id=49699527Blog post title/finding: the author stress-tested Meta Muse until its agent control plane started timing out, exposing failure points in the agent's control architecture under load.

Built-in AI = 47.0 ÷ 90 × 100 = 52.2

Automation3.0/100×0.15 of the PA blend

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

Perform bulk operations across many items at onceweight 2

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

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

Define rules that trigger actions automatically on eventsweight 3

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

  • [claimed-docs] https://introducing.muse.aiThe Goals tab is where Muse keeps track of all this for you, and you can interact directly there or talk to it about these tasks in chat.
  • [claimed-docs] https://muse.aiIf a task needs a tool that doesn't exist, your agent builds it for you.

Schedule recurring jobs or workflowsweight 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

Version, review, and roll back my automationsweight 1

1 (weight) × 4 (quality) × 0.6 (partial) = 2.4 of 10 max

  • [claimed-docs] https://introducing.muse.aiTapping on your Muse avatar will show you its full activity log as well as permissions you’ve approved.
  • [claimed-docs] https://about.fb.com/news/2026/09/introducing-muse-personal-ai-agent/Muse shows people a complete audit trail of everything it has done and plans to do.
  • [claimed-docs] https://introducing.muse.aistructured approval cards with clear accept/reject actions, and secure storage for your credentials.
  • [claimed-docs] https://muse.ai/privacyYou can also use the Forget skill to have Muse forget information about specific topics or people.

Automation = 2.4 ÷ 80 × 100 = 3.0