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How Runloop’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 Score30/100

Agent-ready 52.1 × 0.30 = 15.63

API quality 11.4 × 0.20 = 2.28

Openness 14.4 × 0.20 = 2.88

Built-in AI 39.0 × 0.15 = 5.85

Automation 21.0 × 0.15 = 3.15

(15.63 + 2.28 + 2.88 + 5.85 + 3.15) ÷ (0.30 + 0.20 + 0.20 + 0.15 + 0.15) = 29.79 ÷ 1.00 = 29.8

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-ready52.1/100×0.30 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://docs.runloop.ai/llms.txtPROBE llms.txt: HTTP 200 at https://docs.runloop.ai/llms.txt # Runloop > Runloop is the best platform for running isolated Linux sandbox environments (Devboxes) for AI coding agent
  • [probe] https://docs.runloop.ai/docs/overview/what-is-runloop.mdPROBE docs-md: HTTP 200 at https://docs.runloop.ai/docs/overview/what-is-runloop.md > ## Documentation Index > Fetch the complete documentation index at: https://docs.runloop.ai/llms.txt > Use this file t
  • [claimed-docs] https://docs.runloop.ai/docs/tools/cursor-filesWe provide [Cursor rules] files (`.mdc`) that give your AI assistant context about the Runloop SDK — covering devbox lifecycle, file operations, command execution, blueprints, snapshots, tunnels, and more.

Run the product headlessly / in CI for automationweight 2

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

  • [claimed-docs] https://docs.runloop.ai/docs/benchmarks/overviewSubmit a benchmark job via the CLI and let Runloop handle everything: provisioning devboxes, running agents, scoring results, and aggregating outputs. Compare multiple agents side-by-side with a single command.
  • [claimed-docs] https://docs.runloop.ai/docs/tools/rl-cliThe Runloop CLI (`rli`) provides both an interactive terminal UI and traditional CLI commands for managing your Runloop resources.
  • [claimed-docs] https://docs.runloop.ai/docs/devboxes/agents/using-agents-apiThe Agents API allows you to create, manage, and deploy AI agents on the Runloop platform.
  • [claimed-docs] https://docs.runloop.ai/docs/tools/sdksRunloop provides SDKs in common languages to interact with the Runloop API.
  • [claimed-docs] https://docs.runloop.ai/docs/devboxes/agents/deploying-with-github-actionsRunloop’s [deploy-agent GitHub Action] automates agent deployment directly from your GitHub workflows.

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

  • [probe] https://docs.runloop.ai/docs/tools/ai-toolsofficial MCP server documented at https://docs.runloop.ai/docs/tools/ai-tools

Connect an agent via an official MCP serverweight 3

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

  • [probe] https://docs.runloop.ai/docs/tools/ai-toolsofficial MCP server documented at https://docs.runloop.ai/docs/tools/ai-tools

Use an official CLIweight 2

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

  • [claimed-docs] https://docs.runloop.ai/docs/tools/rl-cliThe Runloop CLI (`rli`) provides both an interactive terminal UI and traditional CLI commands for managing your Runloop resources.
  • [claimed-docs] https://docs.runloop.ai/docs/tools/rl-cliFrom the interactive menu, select a devbox and choose **SSH** to open a secure shell session directly into your devbox. The CLI handles all the SSH key setup and connection details automatically.
  • [claimed-docs] https://docs.runloop.ai/docs/devboxes/blueprints/overviewrli blueprint from-dockerfile --name my-agent-env
  • [claimed-docs] https://docs.runloop.ai/docs/benchmarks/overviewSubmit a benchmark job via the CLI and let Runloop handle everything: provisioning devboxes, running agents, scoring results, and aggregating outputs. Compare multiple agents side-by-side with a single command.
  • [probe] https://docs.runloop.ai/docs/tools/rl-cliofficial CLI documented at https://docs.runloop.ai/docs/tools/rl-cli

Drive the product through a documented public APIweight 3

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

  • [claimed-docs] https://docs.runloop.ai/docs/devboxes/agents/using-agents-apiThe Agents API allows you to create, manage, and deploy AI agents on the Runloop platform.
  • [claimed-docs] https://docs.runloop.ai/docs/tools/sdksRunloop provides SDKs in common languages to interact with the Runloop API.
  • [claimed-docs] https://docs.runloop.ai/docs/tools/rl-cliThe Runloop CLI (`rli`) provides both an interactive terminal UI and traditional CLI commands for managing your Runloop resources.
  • [claimed-docs] https://docs.runloop.ai/docs/devboxes/agents/deploying-with-github-actionsRunloop’s [deploy-agent GitHub Action] automates agent deployment directly from your GitHub workflows.
  • [probe] https://docs.runloop.ai/openapi.jsonPROBE openapi: all candidate paths 404 (https://docs.runloop.ai/openapi.json, https://docs.runloop.ai/swagger.json, https://docs.runloop.ai/api/openapi.json, https://docs.runloop.ai/.well-known/openapi.json)
  • [probe] https://docs.runloop.ai/docs/tools/rl-cliofficial CLI documented at https://docs.runloop.ai/docs/tools/rl-cli

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

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

  • [claimed-docs] https://docs.runloop.ai/docs/devboxes/ai-gatewaysAgent Gateways let your agents call LLM APIs like Anthropic and OpenAI **without ever seeing your API keys**.
  • [claimed-docs] https://docs.runloop.ai/docs/devboxes/configuration/account-secretsSecrets are encrypted at rest and automatically made available as environment variables in your Devboxes.

Build against official SDKsweight 2

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

  • [claimed-docs] https://docs.runloop.ai/docs/tools/sdksRunloop provides SDKs in common languages to interact with the Runloop API.
  • [claimed-docs] https://docs.runloop.ai/docs/tutorials/openai-agentssdk-runloop**Suspend and resume**: Pause sandboxes to save state and costs, then resume exactly where you left off
  • [claimed-docs] https://docs.runloop.ai/docs/tools/cursor-filesWe provide [Cursor rules] files (`.mdc`) that give your AI assistant context about the Runloop SDK — covering devbox lifecycle, file operations, command execution, blueprints, snapshots, tunnels, and more.

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 = 109.4 ÷ 210 × 100 = 52.1

API quality11.4/100×0.20 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

  • [probe] https://docs.runloop.ai/openapi.jsonPROBE openapi: all candidate paths 404 (https://docs.runloop.ai/openapi.json, https://docs.runloop.ai/swagger.json, https://docs.runloop.ai/api/openapi.json, https://docs.runloop.ai/.well-known/openapi.json)

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://docs.runloop.ai/openapi.jsonPROBE openapi: all candidate paths 404 (https://docs.runloop.ai/openapi.json, https://docs.runloop.ai/swagger.json, https://docs.runloop.ai/api/openapi.json, https://docs.runloop.ai/.well-known/openapi.json)
  • [claimed-docs] https://docs.runloop.ai/docs/tools/sdksRunloop provides SDKs in common languages to interact with the Runloop API.

Test against a sandbox environment without touching production dataweight 1

1 (weight) × 8 (quality) × 1.0 (full) = 8.0 of 10 max

  • [claimed-docs] https://docs.runloop.ai/docs/devboxes/overviewRunloop provides secure sandboxed execution environments called Devboxes.
  • [claimed-docs] https://docs.runloop.ai/docs/devboxes/overviewRunloop provides secure sandboxed execution environments called Devboxes. Runloop Devboxes provide a full-featured execution environment for your AI agents.
  • [claimed-docs] https://docs.runloop.ai/docs/devboxes/snapshotsSnapshots can be used to save the current disk state of a Devbox, and to create new Devboxes from a previously saved state.
  • [claimed-docs] https://docs.runloop.ai/docs/devboxes/snapshotsSnapshots can be used to: Improve build times by snapshotting a populated build cache. Roll back to a known good point in time. Perform fan-out and attempt multiple approaches to a code change.
  • [claimed-docs] https://runloop.aiRun 10k+ parallel sandboxes 10GB image startup time in <2s
  • [claimed-docs] https://docs.runloop.ai/docs/tutorials/quickstartThis tutorial gets you up and running with your first devbox in about 1 minute.

Rely on versioned APIs with a documented deprecation policyweight 2

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

  • [probe] https://docs.runloop.ai/openapi.jsonPROBE openapi: all candidate paths 404 (https://docs.runloop.ai/openapi.json, https://docs.runloop.ai/swagger.json, https://docs.runloop.ai/api/openapi.json, https://docs.runloop.ai/.well-known/openapi.json)

API quality = 8.0 ÷ 70 × 100 = 11.4

Openness14.4/100×0.20 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://docs.runloop.ai/docs/tools/rl-cliThe Runloop CLI (`rli`) provides both an interactive terminal UI and traditional CLI commands for managing your Runloop resources.
  • [claimed-docs] https://docs.runloop.ai/docs/devboxes/agents/using-agents-apiThe Agents API allows you to create, manage, and deploy AI agents on the Runloop platform.
  • [claimed-docs] https://docs.runloop.ai/docs/tools/sdksRunloop provides SDKs in common languages to interact with the Runloop API.
  • [claimed-docs] https://docs.runloop.ai/docs/benchmarks/overviewSubmit a benchmark job via the CLI and let Runloop handle everything: provisioning devboxes, running agents, scoring results, and aggregating outputs. Compare multiple agents side-by-side with a single command.
  • [probe] https://docs.runloop.ai/openapi.jsonPROBE openapi: all candidate paths 404 (https://docs.runloop.ai/openapi.json, https://docs.runloop.ai/swagger.json, https://docs.runloop.ai/api/openapi.json, https://docs.runloop.ai/.well-known/openapi.json)

Export all of my data in open formats and leaveweight 3

3 (weight) × 4 (quality) × 0.6 (partial) = 7.2 of 30 max

  • [claimed-docs] https://docs.runloop.ai/docs/devboxes/snapshotsSnapshots can be used to save the current disk state of a Devbox, and to create new Devboxes from a previously saved state.
  • [claimed-docs] https://docs.runloop.ai/docs/devboxes/blueprints/overviewrli blueprint from-dockerfile --name my-agent-env
  • [claimed-docs] https://docs.runloop.ai/docs/devboxes/blueprints/overviewRunloop provides optimized public prebuilt blueprints for common environments.

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 = 14.4 ÷ 100 × 100 = 14.4

Built-in AI39.0/100×0.15 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

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

Set up automations that run autonomously in the backgroundweight 2

2 (weight) × 7 (quality) × 0.6 (partial) = 8.4 of 20 max

  • [claimed-docs] https://docs.runloop.ai/docs/axons/overviewThey give agents a persistent event stream that lets them suspend when idle, wake on demand, recover state, and hand off between agents — without you building the plumbing.
  • [claimed-docs] https://docs.runloop.ai/docs/axons/brokerBroker sits between an Axon and an agent process running inside a Devbox.
  • [claimed-docs] https://docs.runloop.ai/docs/tutorials/openai-agentssdk-runloop**Suspend and resume**: Pause sandboxes to save state and costs, then resume exactly where you left off
  • [claimed-docs] https://docs.runloop.ai/docs/devboxes/agents/deploying-with-github-actionsRunloop’s [deploy-agent GitHub Action] automates agent deployment directly from your GitHub workflows.

Delegate tasks to a built-in AI assistant inside the 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

Operate the product with natural-language commandsweight 2

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

  • [probe] https://docs.runloop.ai/docs/tools/ai-toolsofficial MCP server documented at https://docs.runloop.ai/docs/tools/ai-tools
  • [claimed-docs] https://docs.runloop.ai/docs/tools/cursor-filesWe provide [Cursor rules] files (`.mdc`) that give your AI assistant context about the Runloop SDK — covering devbox lifecycle, file operations, command execution, blueprints, snapshots, tunnels, and more.
  • [claimed-docs] https://docs.runloop.ai/docs/tools/rl-cliThe Runloop CLI (`rli`) provides both an interactive terminal UI and traditional CLI commands for managing your Runloop resources.

Built-in AI = 15.6 ÷ 40 × 100 = 39.0

Automation21.0/100×0.15 of the PA blend

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

Perform bulk operations across many items at onceweight 2

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

  • [claimed-docs] https://runloop.aiRun 10k+ parallel sandboxes 10GB image startup time in <2s
  • [claimed-docs] https://docs.runloop.ai/docs/benchmarks/overviewSubmit a benchmark job via the CLI and let Runloop handle everything: provisioning devboxes, running agents, scoring results, and aggregating outputs. Compare multiple agents side-by-side with a single command.
  • [claimed-docs] https://docs.runloop.ai/docs/devboxes/snapshotsSnapshots can be used to: Improve build times by snapshotting a populated build cache. Roll back to a known good point in time. Perform fan-out and attempt multiple approaches to a code change.
  • [claimed-docs] https://docs.runloop.ai/docs/benchmarks/overviewRun your agent against well-known open source benchmarks like terminal bench 2, AIME, and more.

Define rules that trigger actions automatically on eventsweight 3

3 (weight) × 4 (quality) × 0.6 (partial) = 7.2 of 30 max

  • [claimed-docs] https://docs.runloop.ai/docs/axons/overviewThey give agents a persistent event stream that lets them suspend when idle, wake on demand, recover state, and hand off between agents — without you building the plumbing.
  • [claimed-docs] https://docs.runloop.ai/docs/axons/brokerBroker sits between an Axon and an agent process running inside a Devbox.

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://docs.runloop.ai/docs/devboxes/snapshotsSnapshots can be used to: Improve build times by snapshotting a populated build cache. Roll back to a known good point in time. Perform fan-out and attempt multiple approaches to a code change.
  • [claimed-docs] https://docs.runloop.ai/docs/devboxes/blueprints/overviewBlueprints allow you to optimize your workflows by specifying these startup actions once, then reuse them across multiple Devboxes.
  • [claimed-docs] https://docs.runloop.ai/docs/devboxes/snapshotsSnapshots can be used to save the current disk state of a Devbox, and to create new Devboxes from a previously saved state.

Automation = 16.8 ÷ 80 × 100 = 21.0