Agent Ready HTML

workers.dev llms.txt

In short

workers.dev serves a 3.2 KB llms.txt with 5 H2 sections and 11 links, graded B on the llmstxt.org structure (5 of 6 checks). It lacks same-site links. The home page links the file. An llms-full.txt is served too. Read 4 November 2026.

llms.txt 3.2 KB, 81 lines

---
title: "Cloudflare Workers - Global Serverless Functions Platform"
description: "Deploy serverless functions globally in seconds. No cold starts, 330+ cities, infinite concurrency, and pay only for CPU time. Support for JavaScript, TypeScript, Python, and Rust."
url: "https://www.cloudflare.com/products/workers"
---

# Workers

> Cloudflare Workers are fast, elastic, and serverless functions that scale automatically from zero to millions of requests.

## Key Features

- Zero cold starts with V8 isolates
- Deploy to 330+ cities globally
- JavaScript, TypeScript, Python, Rust, and WASM support
- Native integration with R2, D1, KV, Queues, and Workers AI
- CPU-time based billing (not wall-clock time)
- Cron Triggers for scheduled tasks
- Gradual rollouts and instant rollbacks

## Benefits

### Only pay for what you use

Pay only for execution time ([CPU time](https://developers.cloudflare.com/workers/platform/limits/#cpu-time)), not idle time spent waiting on I/O.

### Near your users, or your data

Deploy once, run in Cloudflare's 330+ cities by default, or use [Smart Placement](https://developers.cloudflare.com/pages/functions/smart-placement/) to run near your data, to minimize end-to-end latency.

### No cold starts

Don't keep users waiting, or spend your time on prewarming rube-goldberg machines.

### Infinite concurrency without the markup

No need to pay for pre-provisioned concurrency. Just scale up based on demand on your big launch days, no matter how many concurrent users you get.

### First-class local development

Workers allows you to fully test your changes locally and allow you to get in the flow, ahead of pushing your changes with [workerd](https://github.com/cloudflare/workerd), our open-source runtime.

### Write in code JS, TS, Python or Rust

Choose from a template in your language to kickstart building an app.

## Use Cases

### Build scalable APIs

Handle billions of requests with automatic scaling and global deployment. […] regional configuration.

### Deploy complete web applications

Ship React, Vue, or Next.js apps integrated backend logic, databases, and storage. Full-stack development without infrastructure management.

### Run serverless functions at the edge

Handle authentication, rate limiting, routing, caching logic near your users. Reduce latency and reduce load on your server by offloading processing to Workers.

### Run business logic and background jobs

Handle webhooks, process data, and run scheduled tasks with built-in Queues, Workflows, and Cron Triggers. Reliable automation without server babysitting.

## Resources

- [Full Documentation](https://developers.cloudflare.com/workers/): Complete technical documentation
- [Get Started](https://dash.cloudflare.com/sign-up): Sign up and start building
- [Pricing](/plans.md): See pricing details

First 69 of 81 lines. 1 span shown as […] because the words or characters in them are rejected by this site's own style rules; the live file has them.

Parse graded B, 5 of 6

file: https://workers.dev/llms.txt

Workers

Cloudflare Workers are fast, elastic, and serverless functions that scale automatically from zero to millions of requests.

5 sections, 11 links, no Optional section.

Ora's cached score: not scored (read 5 November 2026).

The parse

workers.dev lists 11 links: 5 point at workers.dev or a relative path, 6 point elsewhere. The hosts it links most: developers.cloudflare.com (3), cloudflare.com (1), dash.cloudflare.com (1), github.com (1).

H2 sectionLinks
Key Features0
Benefits3
Use Cases0
Resources3
Related Products5

Grade against the llmstxt.org structure

The file passes 5 of 6 checks and fails 1: at least 80 percent of links point at the same site. The grade is the count of passed checks: six is A, five is B, four is C, three is D, fewer is F. It measures structure only. Whether any agent reads the file is a separate question, covered on the llms.txt reference.

CheckResultDetail
Starts with an H1 naming the site or projectPassH1: Workers
Has a blockquote summary under the H1PassBlockquote summary found.
Has at least one H2 section that lists linksPass5 H2 sections, 3 with links.
At least 80 percent of links point at the same siteFail5 of 11 links stay on workers.dev (45 percent).
Under 100 KBPass3314 bytes as served.
Plain markdown, no HTMLPassNo HTML document markers in the body.

Ora's cached score

Not scored by Ora. GET ora.ai/api/score/workers.dev answered 404 DOMAIN_NOT_SCANNED on 5 November 2026, so Ora holds no cached score for this domain. This site asked for a cached score only and never requested a scan. A scan by the site's owner would add one.

Linking and the companion file

The home page of workers.dev links the file in its HTML. Ora's lab found (2026-10-19) that 86 percent of llms.txt fetches by agents arrived through a link, so an unlinked file is mostly a file nobody opens. An llms-full.txt is served at the same root.

How it compares

At 3.2 KB the file is larger than 20 percent of the 2,529 plain-text llms.txt files in this edition, and its 11 links put it ahead of 21 percent of them on link count. The home page declares a Astro generator. Size bucket: 2 to 10 KB. Tranco rank 81. Category: Top 10,000, no category.

Live file: https://workers.dev/llms.txt. Read 4 November 2026. If the file has since changed or gone, the live URL is the authority; this page records what the crawl read on that date.

Sources

  1. workers.dev llms.txt https://workers.dev/llms.txt, read 4 November 2026
  2. llms.txt proposal (llmstxt.org) https://llmstxt.org/, read 4 November 2026
  3. Tranco list 746WX (crawl universe) https://tranco-list.eu/list/746WX, read 4 November 2026
  4. Ora: AgentReady launch post (the 86 percent finding) https://ora.ai/blog/agentready-launch, read 4 November 2026
  5. Ora llms.txt (GET /api/score/{domain} looks up a cached score) https://ora.ai/llms.txt, read 5 November 2026

Last reviewed 5 November 2026