agentspeed.

scale.com

scanned 7/25/2026, 9:40:38 PM · cached · refresh in 21h · rubric 2026.07.4
Built with Next.js
robots.txt present: passrobots.txt allows AI agents: passContent-Signal directives: failllms.txt present: warnSitemap present: passLink response headers: failCanonical URL: passMCP server card: failOAuth authorization metadata: failOAuth resource metadata: failAPI catalog / OpenAPI: failWeb Bot Auth: failMarkdown negotiation: failText-to-markup ratio: failContent without JavaScript: skipHeading hierarchy: warnCookie wall blocks content: passPage title: passMeta description: passJSON-LD present: passStructured data validates: warnSchema type coverage: failPaywall / login wall: passAgent Skills manifest: failWebMCP actions: failPrimary action reachable: passReachability: passTime to first byte: passFull render time: skipPage weight: pass72/ 100 · C
Needs work

This is how AI agents (not browsers) experience scale.com. The score weights five categories of machine-readability; the ticks on the arc are the 30 individual checks behind it.

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Top fixes

warnllms.txt presentDiscoverability

Found /llms.txt but missing H1 header and markdown links.

Fix · Next.js: Add /llms.txt via app/llms.txt/route.ts (or public/llms.txt). Generate one free at /tools/llms-txt-generator.

failLink response headersDiscoverability

No HTTP Link: response headers. Emit canonical/alternate/describedby relations so HEAD-only or stream-rendering agents get them without parsing HTML.

Fix: Emit `Link:` headers for canonical, alternate-language, and describedby relations. Agents that fetch HEAD-only or stream-render rely on these.

failText-to-markup ratioReadability

Visible text is 1.7% of HTML weight (6714/404970 bytes). Low. Markup may be crowding out agent-usable text.

Fix: Heavy ad or navigation markup crowds out agent-usable text. Aim for a text-to-DOM ratio above 15%.

warnStructured data validatesStructured data

1 recommended-field warning(s). First: Organization recommends "sameAs" (improves agent comprehension).

Fix: Validate your JSON-LD with Google Rich Results test. Fix missing required properties.

failSchema type coverageStructured data

Page looks like Article|BlogPosting|NewsArticle; missing JSON-LD type(s): Article|BlogPosting|NewsArticle.

Fix: Align JSON-LD type to page purpose. Product pages without Product markup are skipped by agent shopping flows.

warnHeading hierarchyReadability

Heading issues: 1 skipped level(s).

Fix: Use a single H1 and avoid skipping heading levels (H1 → H3).

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Fix it

Generated, ready-to-ship files for the gaps above — copy them or download and drop them into your repo.

Add an llms.txt
Publish this at https://scale.com/llms.txt
# Reliable AI Systems for Critical Decisions | Scale AI

> Scale delivers proven data, evaluations, and outcomes to AI labs, governments, and the Fortune 500.

## Key pages
- [Home](https://scale.com/)
- [The world’s most important decisions need reliable AI systems.](https://scale.com/)
- [Applications](https://scale.com/)
- [Data](https://scale.com/)
- [Artificial Intelligence](https://scale.com/)
- [Real](https://scale.com/)
- [Research](https://scale.com/)

## About
Describe what scale.com does, who it's for, and the primary action you want an
agent to be able to complete. Keep it factual and current.
Qualifies for certificationBronze

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What the agent receives

The agent’s-eye view
Reliable AI Systems for Critical Decisions | Scale AI Scale partners with Mayo Clinic to develop reliable AI for healthcare Read the Full Story Products Solutions Research Resources Log in Book demo Book demo The world’s most important decisions need reliable AI systems. Reliable AI has no shortcuts. Scale works across the AI stack, from the data that trains the models you rely on, to the systems that put them to work. Humans stay in the loop. Applications AI systems that actually work. Most AI deployments in enterprise and government fail. We find the right use case, build the system, and own the outcome. For Enterprise Data The data powering the world's best AI. The models at the frontier run on Scale data. We source contributors with precision (25% have advanced degrees) and deliver at the bar frontier AI demands. Explore Data Engine Scroll to explore 90% of the world's leading generative AI model builders are powered by Scale. Artificial Intelligence Real Research Life Science Medicine Energy Infrastructure Sovereignty Robotics Defense Operations Healthcare Autonomy Logistics Get started Turning raw, classified data into actionable intelligence. CDAO Partnering to accelerate Meta's LLM and Generative AI. Meta Reducing physician cognitive load by turning complex patient records into clinical intelligence. Mayo Clinic Powering an interactive AI experience that brings a century of journalism to life. Time Accelerating real estate development revenue and operations. Howard Hughes Fuelling the next generation of robotic foundation models with real-world training data. Physical Intelligence Enabling scalable, real-world Physical AI for industrial robotics. Universal Robots Benchmarking the frontier of AI capability with expert-level evaluations. Center for AI Safety Accelerating enterprise AI adoption across global energy operations. British Petroleum Enabling smarter, more personalized learning experiences for students and educators at scale. Cengage Building agentic AI that drives EBITDA gains across PE portfolio companies. Shore Capital Turning raw, classified data into actionable intelligence. CDAO Partnering to accelerate Meta's LLM and Generative AI. Meta Reducing physician cognitive load by turning complex patient records into clinical intelligence. Mayo Clinic Powering an interactive AI experience that brings a century of journalism to life. Time Accelerating real estate development revenue and operations. Howard Hughes Fuelling the next generation of robotic foundation models with real-world training data. Physical Intelligence Enabling scalable, real-world Physical AI for industrial robotics. Universal Robots Benchmarking the frontier of AI capability with expert-level evaluations. Center for AI Safety Accelerating enterprise AI adoption across global energy operations. British Petroleum Enabling smarter, more personalized learning experiences for students and educators at scale. Cengage Building agentic AI that drives EBITDA gains across PE portfolio companies. Shore Capital Turning raw, classified data into actionable intelligence. CDAO Partnering to accelerate Meta's LLM and Generative AI. Meta Reducing physician cognitive load by turning complex patient records into clinical intelligence. Mayo Clinic Powering an interactive AI experience that brings a century of journalism to life. Time Accelerating real estate development revenue and operations. Howard Hughes Fuelling the next generation of robotic foundation models with real-world training data. Physical Intelligence Enabling scalable, real-world Physical AI for industrial robotics. Universal Robots Benchmarking the frontier of AI capability with expert-level evaluations. Center for AI Safety Accelerating enterprise AI adoption across global energy operations. British Petroleum Enabling smarter, more personalized learning experiences for students and educators at scale. Cengage Building agentic AI that drives EBITDA gains across PE portfolio companies. Shore Capital Turning raw, classified data into actionable intelligence. CDAO Partnering to accelerate Meta's LLM and Generative AI. Meta Reducing physician cognitive load by turning complex patient records into clinical intelligence. Mayo Clinic Powering an interactive AI experience that brings a century of journalism to life. Time Accelerating real estate development revenue and operations. Howard Hughes Fuelling the next generation of robotic foundation models with real-world training data. Physical Intelligence Enabling scalable, real-world Physical AI for industrial robotics. Universal Robots Benchmarking the frontier of AI capability with expert-level evaluations. Center for AI Safety Accelerating enterprise AI adoption across global energy operations. British Petroleum Enabling smarter, more personalized learning experiences for students and educators at scale. Cengage Building agentic AI that drives EBITDA gains across PE portfolio companies. Shore Capital Proven across every industry. We set the benchmark for what’s possible with AI 10 years powering the world's biggest AI breakthroughs. Since 2016, we've been at the forefront; from autonomous vehicles to frontier models solving the world's hardest problems. Learn More The standard every frontier model is measured against. Our leaderboards run private benchmarks for the most ambitious AI companies to improve model capabilities. Learn more Behind the model. Behind the mission. Behind it all. Only Scale has the frontier research, world’s best data, and deployment experience to build AI that works in the real world. Learn more From the Lab to the real world. The latest from Scale. Introducing Scale Labs Mayo Clinic + Scale: Reliable AI for Better Healthcare Company How Morgan Stanley deploys AI that actually works (hint: it's evals) | Human in the Loop: Episode 13 Public Sector The Next Phase of U.S. AI Policy: Governance, Implementation, and Global Leadership Our legacy, your success. Book a demo today and see how Scale can build reliable AI for your organization. Get started Products Scale data engine Scale GenAI Platform Scale Donovan Solutions Enterprise Insurance Healthcare US Public Sector Global Public Sector Company About Careers Security Terms Privacy Modern Slavery Statement Resources Blog Contact Us Events Documentation Data Partnerships Brand Guidelines Guides Data Labeling ML Model Training Diffusion Models Guide to AI for eCommerce Computer Vision Applications Large Language Models Reliable AI for the world’s most important decisions Manage your cookie preferences Copyright © 2026 Scale AI, Inc. All rights reserved Terms of Use & Privacy Policy

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AgentSpeed score for scale.com
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Full breakdown

13 pass3 warn12 fail2 skip
Discoverability
pass
robots.txt present
A robots.txt is reachable at the site root.
100/100
pass
robots.txt allows AI agents
All 8 answer-time access agents allowed.
100/100
fail
Content-Signal directivesemerging
No Content-Signal directives. Add e.g. `Content-Signal: ai-train=no, ai-summarize=yes` to declare granular AI usage policy beyond binary allow/disallow.
0/100
warn
llms.txt present
Found /llms.txt but missing H1 header and markdown links.
60/100
pass
Sitemap present
sitemap.xml reachable and referenced from robots.txt.
100/100
fail
Link response headers
No HTTP Link: response headers. Emit canonical/alternate/describedby relations so HEAD-only or stream-rendering agents get them without parsing HTML.
0/100
pass
Canonical URL
Canonical points to self: https://scale.com/.
100/100
fail
MCP server cardemerging
No valid MCP Server Card at /.well-known/mcp/server-card.json. Publish one so agents can discover your tools without HTML scraping.
0/100
fail
OAuth authorization metadataemerging
No RFC 8414 metadata at /.well-known/oauth-authorization-server. Agents that act on behalf of users need this to discover your authorization endpoints.
0/100
fail
OAuth resource metadataemerging
No RFC 9728 metadata at /.well-known/oauth-protected-resource. Publish it so agents can discover required scopes without hand-coded credentials.
0/100
fail
API catalog / OpenAPIemerging
No /.well-known/api-catalog (RFC 9727) and no /openapi.json|yaml. Publish one so agents that integrate with APIs can discover your endpoints.
0/100
fail
Web Bot Authemerging
No Web Bot Auth JWKS at /.well-known/http-message-signatures-directory.json. Publish one to allow trusted agents while keeping a default-deny posture for the rest.
0/100
Readability
fail
Markdown negotiationemerging
Accept: text/markdown returns HTML, not markdown. Serve a markdown variant of primary content when requested; agents summarize and cite it more reliably.
0/100
fail
Text-to-markup ratio
Visible text is 1.7% of HTML weight (6714/404970 bytes). Low. Markup may be crowding out agent-usable text.
12/100
skip
Content without JavaScript
Browser pass unavailable; cannot measure JS dependency.
warn
Heading hierarchy
Heading issues: 1 skipped level(s).
75/100
pass
Cookie wall blocks content
No common consent-modal markers detected.
100/100
pass
Page title
A concise <title> is present (53 chars).
100/100
pass
Meta description
A well-sized meta description is present (99 chars).
100/100
Structured data
pass
JSON-LD present
Found 1 JSON-LD block.
100/100
warn
Structured data validates
1 recommended-field warning(s). First: Organization recommends "sameAs" (improves agent comprehension).
95/100
fail
Schema type coverage
Page looks like Article|BlogPosting|NewsArticle; missing JSON-LD type(s): Article|BlogPosting|NewsArticle.
0/100
Actionability
pass
Paywall / login wall
No paywall or login-wall detected on the landing URL.
100/100
fail
Agent Skills manifestemerging
No Agent Skills manifest at /.well-known/agent-skills.json. Enumerate the tasks agents can perform (search, add-to-cart, contact-support) so they pick the right one without scraping.
0/100
fail
WebMCP actionsemerging
No WebMCP detected. On pages with first-class actions (cart, support, account), embed a WebMCP server so on-page agents invoke tools directly.
0/100
pass
Primary action reachable
Primary offering identified ("AI data and deployment platform") with price/CTA ("Book demo").
100/100
pass
Reachability
HTTP 200.
100/100
Performance
pass
Time to first byte
TTFB 210ms. Healthy.
80/100
skip
Full render time
Full-render time unavailable (browser pass skipped or failed).
pass
Page weight
Initial document is a lean 395 KB.
100/100
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