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.txt“PROBE 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.md“PROBE 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-files“We 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/overview“Submit 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-cli“The 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-api“The Agents API allows you to create, manage, and deploy AI agents on the Runloop platform.”
- [claimed-docs] https://docs.runloop.ai/docs/tools/sdks“Runloop provides SDKs in common languages to interact with the Runloop API.”
- [claimed-docs] https://docs.runloop.ai/docs/devboxes/agents/deploying-with-github-actions“Runloop’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-tools“official 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-tools“official 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-cli“The 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-cli“From 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/overview“rli blueprint from-dockerfile --name my-agent-env”
- [claimed-docs] https://docs.runloop.ai/docs/benchmarks/overview“Submit 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-cli“official 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-api“The Agents API allows you to create, manage, and deploy AI agents on the Runloop platform.”
- [claimed-docs] https://docs.runloop.ai/docs/tools/sdks“Runloop provides SDKs in common languages to interact with the Runloop API.”
- [claimed-docs] https://docs.runloop.ai/docs/tools/rl-cli“The 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-actions“Runloop’s [deploy-agent GitHub Action] automates agent deployment directly from your GitHub workflows.”
- [probe] https://docs.runloop.ai/openapi.json“PROBE 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-cli“official 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-gateways“Agent 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-secrets“Secrets 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/sdks“Runloop 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-files“We 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.json“PROBE 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.json“PROBE 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/sdks“Runloop 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/overview“Runloop provides secure sandboxed execution environments called Devboxes.”
- [claimed-docs] https://docs.runloop.ai/docs/devboxes/overview“Runloop 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/snapshots“Snapshots 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/snapshots“Snapshots 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.ai“Run 10k+ parallel sandboxes 10GB image startup time in <2s”
- [claimed-docs] https://docs.runloop.ai/docs/tutorials/quickstart“This 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.json“PROBE 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-cli“The 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-api“The Agents API allows you to create, manage, and deploy AI agents on the Runloop platform.”
- [claimed-docs] https://docs.runloop.ai/docs/tools/sdks“Runloop provides SDKs in common languages to interact with the Runloop API.”
- [claimed-docs] https://docs.runloop.ai/docs/benchmarks/overview“Submit 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.json“PROBE 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/snapshots“Snapshots 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/overview“rli blueprint from-dockerfile --name my-agent-env”
- [claimed-docs] https://docs.runloop.ai/docs/devboxes/blueprints/overview“Runloop 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/overview“They 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/broker“Broker 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-actions“Runloop’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-tools“official MCP server documented at https://docs.runloop.ai/docs/tools/ai-tools”
- [claimed-docs] https://docs.runloop.ai/docs/tools/cursor-files“We 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-cli“The 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.ai“Run 10k+ parallel sandboxes 10GB image startup time in <2s”
- [claimed-docs] https://docs.runloop.ai/docs/benchmarks/overview“Submit 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/snapshots“Snapshots 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/overview“Run 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/overview“They 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/broker“Broker 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/snapshots“Snapshots 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/overview“Blueprints 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/snapshots“Snapshots 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