agentspeed.

digitalocean.com

scanned 7/26/2026, 1:41:05 AM · cached · refresh in 22h · rubric 2026.07.4
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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: passCookie wall blocks content: passPage title: passMeta description: passJSON-LD present: failStructured data validates: skipSchema type coverage: passPaywall / login wall: passAgent Skills manifest: failWebMCP actions: failPrimary action reachable: passReachability: passTime to first byte: passFull render time: skipPage weight: pass67/ 100 · D
Needs work

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

✉ Email me this report + alert me when it changes ↓

Top fixes

Checks tagged “emerging” are 2026 agent-protocol standards most of the web hasn’t adopted yet — adopting early is an edge, not a defect.

failJSON-LD presentStructured data

No JSON-LD blocks found. Add a <script type="application/ld+json"> with a schema.org type for this page.

Fix · Next.js: Emit JSON-LD from a Server Component or the Metadata API: a <script type="application/ld+json"> with Organization / Article / Product for the page.

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 2.8% of HTML weight (8051/283381 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%.

failContent-Signal directivesemergingDiscoverability

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.

Fix: Add `Content-Signal:` directives to your robots.txt. This is the emerging standard (Cloudflare-driven) for declaring fine-grained AI usage policy beyond a binary allow/disallow.

failMCP server cardemergingDiscoverability

No valid MCP Server Card at /.well-known/mcp/server-card.json. Publish one so agents can discover your tools without HTML scraping.

Fix: Publish an MCP Server Card describing the tools your site exposes. Agents discover capabilities via `/.well-known/mcp/server-card.json`. See modelcontextprotocol.io for the schema.

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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://digitalocean.com/llms.txt
# AI-Native Cloud | DigitalOcean

> Run AI products in production with a unified stack for agents, inference, and cloud—built for control, performance, and economics at scale.

## Key pages
- [Home](https://digitalocean.com/)
- [AI-Native Cloud](https://digitalocean.com/)
- [Five layers. One platform. Open at every layer.](https://digitalocean.com/)
- [Managed Agents](https://digitalocean.com/)
- [Data & Learning](https://digitalocean.com/)
- [Inference Engine](https://digitalocean.com/)
- [Core Cloud](https://digitalocean.com/)

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

What the agent receives

The agent’s-eye view
AI-Native Cloud | DigitalOcean Blog Docs Careers Get Support Contact Sales DigitalOcean Products Featured AI Products Compute Build, deploy, and scale cloud compute resources Containers and Images Safely store and manage containers and backups Managed Databases Fully managed resources running popular database engines Management and Dev Tools Control infrastructure and gather insights Networking Secure and control traffic to apps Security Help protect your account and resources with these security features Storage Store and access any amount of data reliably in the cloud Browse all products Solutions AI/ML CMS Data and IoT Developer Tools Gaming and Media Hosting Security and Networking Startups and SMBs Web and App Platforms See all solutions Developers Community Documentation Developer Tools Get Involved Utilities and Help Partners Become a Partner Marketplace Pricing Log in Sign up Log in Sign up AI-Native Cloud One platform, fully integrated from silicon to agent, with economics that improve as you scale. Get Started Explore products 25 50 100 200 300 400 500 600 700 800 900 1000 1100 1200 1300 1400 From real-time agents to trillion-token workloads, leaders in AI run on DigitalOcean. 67% lower cost Workato runs 1T+ automation tasks on DigitalOcean&#x27;s Inference Engine at 67% lower cost — with 67% higher throughput on the same workload. Learn more 2x inference throughput Character.ai handles 1B+ queries per day with 2× production inference throughput on DigitalOcean&#x27;s AMD Instinct ™ GPUs. Learn more 40% reduction in latency Hippocratic AI runs healthcare agents on DigitalOcean, powering 20M+ patient interactions with 40% lower end-to-end P99 latency and 2× higher throughput. Learn more Five layers. One platform. Open at every layer. From GPUs to agent runtimes, every layer purpose-built for production AI and integrated end-to-end. Most clouds only cover one or two layers, or fragment all five across 300+ disconnected services. Managed Agents Data &amp; Learning Inference Engine Core Cloud Infrastructure Managed Agents Production agents that run on the same stack as your data, inference, and infrastructure. No cross-vendor hops. No lost context. No egress fees between layers. Products Open Harness Sandbox Plano Toolbox State Open Source Integrations Open agent orchestration: OpenCode, LangGraph, CrewAI, MCP / A2A, E2B, Daytona Data &amp; Learning Fresh data, persistent memory, and continuous learning, without rebuilding your data stack. Products Knowledge Bases Managed Databases Analytics Engine Open Source Integrations Open retrieval and embedding including pgvector, Qdrant APIs, LlamaIndex, Chroma, PostgreSQL, MySQL, Valkey Inference Engine Over 70 models, open-weighted and frontier, on one endpoint. Run serverless, dedicated, or batch inference, with the Inference Router optimizing every call. Products Inference Router (Public preview) Serverless Inference Dedicated Inference Batch Inference 72 Models or Bring Your Own Model Evaluations (Public preview) Open Source Integrations Open models and serving: DeepSeek V3.2, Qwen 3, vLLM, Firecracker Core Cloud The cloud millions already run on, with the primitives every AI workload needs. Products Droplets (CPU &amp; GPU) Managed Kubernetes App Platform Networking Storage &amp; Backups Functions Open Source Integrations Open infrastructure orchestration: Kubernetes, Cilium, MinIO Infrastructure We own the silicon. Your unit economics improve as you scale. Products 20 data centers across 11 regions Air-cooled and liquid-cooled infrastructure NVIDIA H100 / H200 / Blackwell AMD Instinct™ MI300X / MI325X / MI350X 400G RoCE fabric Open Source Integrations Open monitoring and compute: Prometheus, Grafana, Ollama, Linux / KVM Browse all products Performance, economics, and simplicity — together. Performance proven in production Sub-second Time-to-First-Token (TTFT). 3.9× higher output speed vs. AWS Bedrock. The most consistent latency across context lengths of any provider tested. Independently benchmarked by Artificial Analysis on DeepSeek V3.2. Open models you already trust DeepSeek, Llama, Qwen — plus frontier labs and your own fine-tunes — on one OpenAI-compatible endpoint. DigitalOcean Inference Router picks the right model per call, automatically. Your code doesn&#x27;t change when a better model ships. Built for how builders ship One CLI. One API. One bill. Migrate in one line of code, and leave on the same terms. The complexity of stitching together multiple vendors — gone. Economics that compound as you scale DigitalOcean owns the silicon, the fabric, and the Inference Engine end-to-end. Every optimization below the line passes forward automatically. Performance and unit economics improve together. Resources View all Blog Outperforming Fable 5 at half the price: meet model synthesis, a new server-side tool on DigitalOcean Inference Engine July 23, 2026 8 min read Read Tutorial Best OpenAI-compatible inference APIs: drop-in alternatives for 2026 July 23, 2026 15 min read Read Tutorial The Hidden Cost of Output Token Pricing for Llama 3.3 70B July 23, 2026 14 min read Read Tutorial How to Switch from the OpenAI API to DigitalOcean&#x27;s Serverless Inference July 22, 2026 15 min read Read Tutorial How Does Prompt Caching Work and When Does It Actually Cut LLM Costs? July 22, 2026 49 min read Read Blog Upcoming GPU Pricing Updates July 21, 2026 2 min read Read Article LLM Cost Calculation Guide for Enterprise AI Teams in 2026 July 16, 2026 23 min read Read Tutorial Prefill/Decode Disaggregation: Why Production LLM Inference Is Splitting Onto Separate Hardware July 15, 2026 12 min read Read Tutorial Fine-tuning the LLM Ornith 9b on a single H200 GPU Droplet: cost, latency, and serving overhead July 14, 2026 8 min read Read Start building today From GPU-powered inference and Kubernetes to managed databases and storage, get everything you need to build, scale, and deploy intelligent applications. Sign up Company About Leadership Blog Careers Customers Partners Referral Program Affiliate Program Press Legal Privacy Policy Security Investor Relations Products Knowledge Bases GPU Droplets Bare Metal GPUs Inference Engine Data &amp; Learning Evaluations Model Library Droplets Kubernetes Functions App Platform Load Balancers Managed Databases Spaces Block Storage Network File Storage API Uptime Cloud Security Posture Management (CSPM) Identity and Access Management (IAM) Cloudways View all Products Resources Community Tutorials Community Q&amp;A CSS-Tricks Write for DOnations Currents Research DigitalOcean Startups Wavemakers Program Compass Council Open Source Newsletter Signup Marketplace Pricing Pricing Calculator Documentation Release Notes Code of Conduct Shop Swag Solutions AI Training GPU GPU Inference VPS Hosting Website Hosting VPN Docker Hosting Node.js Hosting Web Mobile Apps WordPress Hosting Virtual Machines View all Solutions Contact Support Sales Report Abuse System Status Share your ideas Company About Leadership Blog Careers Customers Partners Referral Program Affiliate Program Press Legal Privacy Policy Security Investor Relations Products Knowledge Bases GPU Droplets Bare Metal GPUs Inference Engine Data &amp; Learning Evaluations Model Library Droplets Kubernetes Functions App Platform Load Balancers Managed Databases Spaces Block Storage Network File Storage API Uptime Cloud Security Posture Management (CSPM) Identity and Access Management (IAM) Cloudways View all Products Resources Community Tutorials Community Q&amp;A CSS-Tricks Write for DOnations Currents Research DigitalOcean Startups Wavemakers Program Compass Council Open Source Newsletter Signup Marketplace Pricing Pricing Calculator Documentation Release Notes Code of Conduct Shop Swag Solutions AI Training GPU GPU Inference VPS Hosting Website Hosting VPN Docker Hosting Node.js Hosting Web Mobile Apps WordPress Hosting Virtual Machines View all Solutions Contact Support Sales Report Abuse System Status Share your ideas © 

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AgentSpeed score for digitalocean.com
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This score says whether an AI agent could read digitalocean.com. AI traffic analytics says whether one actually came — and which pages turned it away.

Full breakdown

14 pass1 warn12 fail3 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://www.digitalocean.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 2.8% of HTML weight (8051/283381 bytes). Low. Markup may be crowding out agent-usable text.
21/100
skip
Content without JavaScript
Browser pass unavailable; cannot measure JS dependency.
pass
Heading hierarchy
Hierarchy is well-formed (1 H1, no skipped levels, 41 headings total).
100/100
pass
Cookie wall blocks content
No common consent-modal markers detected.
100/100
pass
Page title
A concise <title> is present (30 chars).
100/100
pass
Meta description
A well-sized meta description is present (139 chars).
100/100
Structured data
fail
JSON-LD present
No JSON-LD blocks found. Add a <script type="application/ld+json"> with a schema.org type for this page.
0/100
skip
Structured data validates
No JSON-LD blocks present; nothing to validate (covered by structured_data.jsonld_present).
pass
Schema type coverage
Page intent unclear; no specific schema.org type expected.
100/100
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-native cloud platform") with price/CTA ("Sign up").
100/100
pass
Reachability
HTTP 200 after 1 redirect.
100/100
Performance
pass
Time to first byte
TTFB 299ms. Healthy.
80/100
skip
Full render time
Full-render time unavailable (browser pass skipped or failed).
pass
Page weight
Initial document is a lean 277 KB.
100/100
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