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Rank #3 of 8 in Agent Sandboxes & Code Execution

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Runloop

Runloop · commercial

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pippip install runloop-api-client
npmnpm install @runloop/api-client

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Runloop homepage screenshot
homepage · captured Sep 2026 · view live ↗
Runloop docs screenshot
docs · captured Sep 2026 · view live ↗

Verified integrations

No integration evidence found in our corpus for this product yet — that means none was found, never that it doesn’t integrate.

By theme — the product's score on each story themeBy theme

Agenticness — how well agents can access and operate the productAgenticnessevidence →

How well agents can access and operate the product

41.6/100

Automation depth — how much of the product can run unattendedAutomation depthevidence →

How much of the product can run unattended

21.0/100

Capabilities hardware — stories about capabilities hardware in this arenaCapabilities hardwareevidence →

Stories about capabilities hardware in this arena

10.0/100

Code execution — stories about code execution in this arenaCode executionevidence →

Stories about code execution in this arena

58.9/100

Dev experience — day-to-day developer experience — setup friction, docs, debugging, iteration speedDev experienceevidence →

Day-to-day developer experience — setup friction, docs, debugging, iteration speed

80.0/100

Isolation security — stories about isolation security in this arenaIsolation securityevidence →

Stories about isolation security in this arena

15.7/100

Openness — open source, data portability, and self-hosting storiesOpennessevidence →

Open source, data portability, and self-hosting stories

14.4/100

Performance scale — stories about performance scale in this arenaPerformance scaleevidence →

Stories about performance scale in this arena

44.7/100

Pricing limits — free-tier ceilings, usage caps, and rate limits before you have to payPricing limitsevidence →

Free-tier ceilings, usage caps, and rate limits before you have to pay

20.0/100

Privacy posture — data-handling and privacy storiesPrivacy postureevidence →

Data-handling and privacy stories

0.0/100

Provisioning lifecycle — creating, updating, and tearing down resources across their lifecycleProvisioning lifecycleevidence →

Creating, updating, and tearing down resources across their lifecycle

70.0/100

Snapshot persistence — stories about snapshot persistence in this arenaSnapshot persistenceevidence →

Stories about snapshot persistence in this arena

80.0/100

Story verdicts — every judged story with its evidenceStory verdicts

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Sorted by importance (agentic first) (high → low) · 51/51 stories · click a row’s chevron for the rationale and evidence

Drive the product through a documented public API G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness3full8/10T

Connect an agent via an official MCP server G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness3full7/10T

Plug MCP servers into this product so it can use their tools G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness3none0/10

Delegate tasks to a built-in AI assistant inside the product G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness3n/auntestednone yet

Point an agent at llms.txt or agent-oriented docs G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2full9/10T

Run the product headlessly / in CI for automation G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2full8/10C

Use an official CLI G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2full8/10T

Set up automations that run autonomously in the background G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness2partial7/10C

Build against official SDKs G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2partial6/10C

Issue scoped/least-privilege API credentials for an agent G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2partial6/10C

Operate the product with natural-language commands G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness2partial6/10T

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

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness2none0/10

Explore an interactive API reference with runnable examples G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness2none0/10

Rely on versioned APIs with a documented deprecation policy G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness2none0/10

Get AI-generated insights and suggestions from my data inside the product G

Agentic features

ai-native userAgenticness — how well agents can access and operate the productAgenticness2n/auntestednone yet

Subscribe to events via webhooks G

Agent access

ai-native userAgenticness — how well agents can access and operate the productAgenticness2noneuntestednone yet

Test against a sandbox environment without touching production data G

Api quality

ai-native userAgenticness — how well agents can access and operate the productAgenticness1full8/10C

Spin up an isolated sandbox with one API/SDK call and get a live environment in seconds C

Lifecycle

developerProvisioning lifecycle — creating, updating, and tearing down resources across their lifecycleProvisioning lifecycle3full9/10C

Execute untrusted, AI-generated code without risking my own infrastructure C

Untrusted code

developerCode execution — stories about code execution in this arenaCode execution3full8/10T

My agent can provision its own sandbox, execute code, read the results, and tear it down — end to end without a human C

Agent lifecycle

ai-native userDev experience — day-to-day developer experience — setup friction, docs, debugging, iteration speedDev experience3full8/10C

Snapshot a sandbox and later restore or fork new sandboxes from that snapshot C

Snapshots

developerSnapshot persistence — stories about snapshot persistence in this arenaSnapshot persistence3full8/10C

Start sandboxes with documented sub-second-to-few-second cold starts C

Latency

developerPerformance scale — stories about performance scale in this arenaPerformance scale3partial6/10C

Run large concurrent fleets of sandboxes with documented concurrency limits C

Scale

platform-engineerPerformance scale — stories about performance scale in this arenaPerformance scale3partial5/10C

Define rules that trigger actions automatically on events G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth3partial4/10C

Export all of my data in open formats and leave G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness3partial4/10C

Rely on a documented hard isolation boundary (microVM or equivalent) between sandboxes and my systems C

Isolation

platform-engineerIsolation security — stories about isolation security in this arenaIsolation security3partial3/10T

Pay per second only for the compute a sandbox actually uses G

Pricing

platform-engineerPricing limits — free-tier ceilings, usage caps, and rate limits before you have to payPricing limits3noneuntestednone yet

Prevent my data from being used to train AI models G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture3noneuntestednone yet

Restrict or allow the sandbox's network egress with explicit policy C

Network policy

platform-engineerIsolation security — stories about isolation security in this arenaIsolation security3noneuntestednone yet

Self-host the core product G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness3noneuntestednone yet

Define custom sandbox templates or bring my own container image C

Runtimes

developerCode execution — stories about code execution in this arenaCode execution2full8/10C

Expose a port from the sandbox on a public preview URL to reach services running inside C

Preview access

developerProvisioning lifecycle — creating, updating, and tearing down resources across their lifecycleProvisioning lifecycle2full8/10C

Keep a sandbox session running for hours or days for long agent tasks C

Scale

developerPerformance scale — stories about performance scale in this arenaPerformance scale2full8/10C

Pause a running sandbox and resume it later with filesystem and memory state intact C

Snapshots

developerSnapshot persistence — stories about snapshot persistence in this arenaSnapshot persistence2full8/10C

Run arbitrary shell commands and install packages inside the sandbox C

Untrusted code

developerCode execution — stories about code execution in this arenaCode execution2full7/10C

Do everything through the API that I can do in the UI G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness2partial6/10T

Give an agent a sandbox where host secrets and credentials are unreachable by the code it runs C

Isolation

ai-native userIsolation security — stories about isolation security in this arenaIsolation security2partial6/10C

Perform bulk operations across many items at once G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth2partial6/10C

Execute code in multiple language runtimes (Python, JavaScript, and more) and get rich results back C

Runtimes

developerCode execution — stories about code execution in this arenaCode execution2partial5/10C

Run coding agents like Claude Code or Codex inside the sandbox following the vendor's own recipe C

Agent workloads

ai-native userCapabilities hardware — stories about capabilities hardware in this arenaCapabilities hardware2partial5/10C

Set timeouts so sandboxes shut down automatically and stop billing when idle or done G

Lifecycle

developerProvisioning lifecycle — creating, updating, and tearing down resources across their lifecycleProvisioning lifecycle2partial5/10C

Read, write, upload, and download files in the sandbox filesystem via the SDK C

Files

developerCode execution — stories about code execution in this arenaCode execution2partial4/10C

Control data retention and deletion G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture2none0/10

Run a headless browser or full desktop environment inside the sandbox C

Workloads

developerCapabilities hardware — stories about capabilities hardware in this arenaCapabilities hardware2none0/10

Attach GPUs to sandboxed workloads C

Workloads

developerCapabilities hardware — stories about capabilities hardware in this arenaCapabilities hardware2noneuntestednone yet

Choose where my data is stored (region/residency) G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture2noneuntestednone yet

Opt out of telemetry and usage tracking G

ai-native userPrivacy posture — data-handling and privacy storiesPrivacy posture2noneuntestednone yet

Read the product's source under an open license G

ai-native userOpenness — open source, data portability, and self-hosting storiesOpenness2noneuntestednone yet

Schedule recurring jobs or workflows G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth2noneuntestednone yet

Start building with a free tier or included credits without talking to sales G

Pricing

developerPricing limits — free-tier ceilings, usage caps, and rate limits before you have to payPricing limits1full8/10C

Version, review, and roll back my automations G

ai-native userAutomation depth — how much of the product can run unattendedAutomation depth1partial4/10C

Opportunities — the stories that would move this product's scores, from its own judged verdictsOpportunitiestop 8 of 33 stories with headroom

What would move Runloop’s scores — derived from its own judged verdicts, biggest headroom first. Each line quotes what the judge found missing; shipping it (or evidencing it publicly) is the fix.

  1. Agenticness — how well agents can access and operate the productPlug MCP servers into this product so it can use their tools

    nonemoves agent-readyimpact 45

    Missing: any documentation of an MCP-client integration point, config for adding external MCP servers, or examples of Devboxes/agents consuming external MCP tool servers.

  2. Isolation security — stories about isolation security in this arenaRestrict or allow the sandbox's network egress with explicit policy

    nonemoves PA Scoreimpact 30

    No evidence pack item describes network egress controls, firewall rules, or allow/deny policies for Devbox sandboxes; tunnels and secrets features are documented but network egress policy configuration is never mentioned.

  3. Openness — open source, data portability, and self-hosting storiesSelf-host the core product

    nonemoves PA Scoreimpact 30

    Runloop is presented entirely as a hosted cloud platform (Devboxes, Agents API, benchmarks) with no evidence of an on-premises or self-hostable deployment option, open-source core, or self-hosting documentation.

  4. Pricing limits — free-tier ceilings, usage caps, and rate limits before you have to payPay per second only for the compute a sandbox actually uses

    nonemoves PA Scoreimpact 30

    No evidence pack item states an explicit per-second or usage-based billing model; the only tangential mention is that suspend/resume can 'save costs' (runloop-docs-27), which doesn't establish a per-second pricing mechanism.

  5. Privacy posture — data-handling and privacy storiesPrevent my data from being used to train AI models

    nonemoves PA Scoreimpact 30

    No evidence anywhere in the pack addresses AI training data usage, opt-out policies, or data-retention commitments for model training; the docs focus on sandbox infrastructure (Devboxes, secrets, gateways) but never mention training-data policy.

  6. Agenticness — how well agents can access and operate the productSubscribe to events via webhooks

    nonemoves agent-readyimpact 30

    Missing: any documentation of a webhooks API, subscription/callback URLs, or event delivery mechanism to external endpoints.

  7. Agenticness — how well agents can access and operate the productExplore an interactive API reference with runnable examples

    nonemoves API qualityimpact 30

    No evidence of an interactive API reference with runnable examples; the explicit probe for OpenAPI/swagger specs returned 404s across all candidate paths, and docs mention SDKs/CLI but not a runnable API explorer.

  8. Agenticness — how well agents can access and operate the productDownload a machine-readable API spec (OpenAPI or equivalent)

    nonemoves API qualityimpact 30

    Runloop offers SDKs and a CLI but there is no evidence of a downloadable OpenAPI/Swagger spec; explicit probes to common OpenAPI paths (openapi.json, swagger.json, etc.) all returned 404, confirming absence rather than just lack of mention.

Showing the top 8 of 33 — every none/partial verdict in the story verdicts table is headroom.

Think a verdict is wrong? Every verdicts-table row has a Flag link — see the methodology.

Coverage map — which docs area, API section, or community source covers which judged storiesCoverage map4 surfaces · 33 covered stories

Where the cited evidence behind each covered verdict came from — the same citations the verdicts table shows, no extra judging.

docs32 stories

Claims vs evidence — vendor claims reconciled against independent verdictsClaims vs evidence

2 of 9 testable claims verified · 0 contradictedintegrity 22/100

13 distinct capability claims found in Runloop’s own claimed-docs/GitHub materials, reconciled against our judge’s independent verdicts.

2

Verified

7

Unverified

0

Contradicted

24

Undersold

Verified (2)
Unverified (8)
Undersold (24)
Claims outside our story set (3)

Real capability claims found in Runloop’s own materials, but no story in this arena’s taxonomy covers them yet — that’s feedback on the taxonomy, not a mark against the product.

  • CLI can submit a benchmark job that auto-provisions devboxes, runs agents, scores results, and compares agents side-by-side

    source ↗
  • Can run agents against well-known open-source benchmarks like Terminal Bench 2 and AIME

    source ↗
  • Supports creating custom scorers to evaluate agents on dimensions like security, cost, performance, and compliance

    source ↗
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Business model

free-tierusage-basedsubscription-flatenterprise-custom

New accounts get $50 in credits; the Basic plan is a free subscription billed purely on metered devbox CPU/RAM/storage usage, Pro adds a $250/mo base, and Enterprise/VPC is custom.

pricing ↗

Score trend

How this product’s scores have moved as evidence and verdicts are re-derived — a point per change, not per day.

PA Score25 (Sep 4 '26)30 (Sep 16 '26)
Agent-ready46 (Sep 4 '26)52 (Sep 16 '26)

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Think a verdict is wrong? Opens a prefilled GitHub issue — or use the ⚑ next to any verdict above.

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For agents

Data

Agent surface uptime llms.txt 100% (30d, checked every 6h since Sep 8 '26)