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How Cursor’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 29.2 × 0.30 = 8.76

API quality 0.0 × 0.20 = 0.00

Openness 0.0 × 0.20 = 0.00

Built-in AI 81.1 × 0.15 = 12.16

Automation 38.5 × 0.15 = 5.77

(8.76 + 0.00 + 0.00 + 12.16 + 5.77) ÷ (0.30 + 0.20 + 0.20 + 0.15 + 0.15) = 26.70 ÷ 1.00 = 26.7

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-ready29.2/100×0.30 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) × 0 (quality) × 0.0 (none) = 0.0 of 20 max

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

Run the product headlessly / in CI for automationweight 2

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

  • [probe] https://cursor.com/cliofficial CLI documented at https://cursor.com/cli
  • [claimed-docs] https://cursor.comcurl https://cursor.com/install -fsS | bash
  • [claimed-docs] https://cursor.comSet up always-on agents that run on schedules or triggers to build, maintain, and fix your software.
  • [claimed-docs] https://cursor.comAgents use their own computers to build, test, and demo features end to end for you to review.

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

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

  • [claimed-docs] https://cursor.com/docs/mcp.mdModel Context Protocol (MCP) enables Cursor to connect to external tools and data sources.
  • [claimed-docs] https://cursor.com/docs/mcp.mdClick "Add to Cursor" on a marketplace entry to install it and authenticate with OAuth.
  • [claimed-docs] https://cursor.com/docs/mcp.mdConfigure custom MCP servers with a JSON file
  • [claimed-docs] https://cursor.com/docs/mcp.mdEnterprise admins can control which MCP servers users may run from the Cursor dashboard.
  • [claimed-docs] https://cursor.com/docs/mcp.mdToggle servers on/off without removing them

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

  • [claimed-docs] https://cursor.comcurl https://cursor.com/install -fsS | bash
  • [claimed-docs] https://cursor.comCursor runs in your terminal, collaborates in Slack, and reviews PRs in GitHub.
  • [probe] https://cursor.com/cliofficial CLI documented at https://cursor.com/cli

Drive the product through a documented public APIweight 3

3 (weight) × 3 (quality) × 0.6 (partial) = 5.4 of 30 max

  • [probe] https://cursor.com/cliofficial CLI documented at https://cursor.com/cli
  • [claimed-docs] https://cursor.comcurl https://cursor.com/install -fsS | bash

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 = 52.6 ÷ 180 × 100 = 29.2

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

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

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

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

API quality = 0.0 ÷ 60 × 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

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

Openness = 0.0 ÷ 70 × 100 = 0.0

Built-in AI81.1/100×0.15 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) × 7 (quality) × 1.0 (full) = 14.0 of 20 max

  • [claimed-docs] https://docs.cursor.comTrace how a repo fits together and find the right places to start
  • [claimed-docs] https://docs.cursor.comScope changes, use Plan Mode, and ship bigger work with confidence
  • [claimed-docs] https://docs.cursor.comReproduce issues, narrow the root cause, and verify the fix
  • [claimed-docs] https://docs.cursor.comInspect diffs, run checks, and catch problems before you merge

Set up automations that run autonomously in the backgroundweight 2

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

  • [claimed-docs] https://cursor.comLaunch fleets of agents that work in parallel on ambitious tasks for hours or days.
  • [claimed-docs] https://cursor.comSet up always-on agents that run on schedules or triggers to build, maintain, and fix your software.
  • [claimed-docs] https://cursor.comAgents use their own computers to build, test, and demo features end to end for you to review.

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

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

  • [claimed-docs] https://cursor.comLaunch fleets of agents that work in parallel on ambitious tasks for hours or days.
  • [claimed-docs] https://cursor.comSet up always-on agents that run on schedules or triggers to build, maintain, and fix your software.
  • [claimed-docs] https://cursor.comAccelerate development by handing off tasks to Cursor, while you focus on making decisions.
  • [claimed-docs] https://cursor.comAgents use their own computers to build, test, and demo features end to end for you to review.
  • [claimed-docs] https://docs.cursor.comScope changes, use Plan Mode, and ship bigger work with confidence

Operate the product with natural-language commandsweight 2

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

  • [claimed-docs] https://docs.cursor.comScope changes, use Plan Mode, and ship bigger work with confidence
  • [claimed-docs] https://cursor.comLaunch fleets of agents that work in parallel on ambitious tasks for hours or days.
  • [claimed-docs] https://cursor.comSet up always-on agents that run on schedules or triggers to build, maintain, and fix your software.
  • [claimed-docs] https://cursor.comCursor runs in your terminal, collaborates in Slack, and reviews PRs in GitHub.
  • [claimed-docs] https://cursor.comAccelerate development by handing off tasks to Cursor, while you focus on making decisions.
  • [claimed-docs] https://cursor.comAgents use their own computers to build, test, and demo features end to end for you to review.

Built-in AI = 73.0 ÷ 90 × 100 = 81.1

Automation38.5/100×0.15 of the PA blend

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

Perform bulk operations across many items at onceweight 2

2 (weight) × 5 (quality) × 0.6 (partial) = 6.0 of 20 max

  • [claimed-docs] https://cursor.comLaunch fleets of agents that work in parallel on ambitious tasks for hours or days.
  • [claimed-docs] https://cursor.comSet up always-on agents that run on schedules or triggers to build, maintain, and fix your software.

Define rules that trigger actions automatically on eventsweight 3

3 (weight) × 6 (quality) × 0.6 (partial) = 10.8 of 30 max

  • [claimed-docs] https://cursor.comSet up always-on agents that run on schedules or triggers to build, maintain, and fix your software.
  • [claimed-docs] https://docs.cursor.comAdd plugins, skills, MCPs, and rules from one place

Schedule recurring jobs or workflowsweight 2

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

  • [claimed-docs] https://cursor.comSet up always-on agents that run on schedules or triggers to build, maintain, and fix your software.
  • [claimed-docs] https://cursor.comLaunch fleets of agents that work in parallel on ambitious tasks for hours or days.

Version, review, and roll back my automationsweight 1

1 (weight) × 0 (quality) × 0.0 (none) = 0.0 of 10 max

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

Automation = 30.8 ÷ 80 × 100 = 38.5