vercel.com llms.txt
In short
vercel.com serves a 5.3 KB llms.txt with 9 H2 sections and 28 links, graded A on the llmstxt.org structure (6 of 6 checks). It passes every check. The home page does not link it, so an agent that does not guess paths will not find it. No llms-full.txt was found. Read 4 November 2026.
llms.txt 5.3 KB, 69 lines
# Vercel
> Vercel is a cloud platform for building, deploying, and scaling web applications and AI workloads.
Use this index to find machine-readable documentation and platform resources. Follow the linked indexes when you need individual pages.
## When to use Vercel
- Deploy and scale web applications, APIs, and AI workloads from a Git repository or the Vercel CLI.
- Automate projects, deployments, domains, and account resources through the Vercel REST API or SDK.
- Connect an authenticated AI assistant to Vercel projects, deployments, logs, analytics, and documentation through Vercel MCP.
- Route AI requests across providers through Vercel AI Gateway, with automatic fallbacks, spending controls, usage monitoring, and no markup on token prices.
- Run untrusted or agent-generated code in isolated Vercel Sandboxes.
## How agents should use Vercel
- For research, fetch the Markdown documentation indexes below and follow their links to individual Markdown pages.
- For REST API calls, read the OpenAPI description and authentication documentation before choosing an operation. Ask for approval before changing account resources.
- For Vercel MCP, use an OAuth-capable MCP client and let the user authorize access to their Vercel account.
## Agent setup
- [Set up Vercel for your coding agent](https://vercel.com/get-started.md): Follow the agent playbook to install the CLI, add Vercel guidance, and connect Vercel MCP.
- [Getting started with Vercel](https://vercel.com/docs/getting-started-with-vercel.md?from=llms-txt): Install the Vercel CLI, add the Vercel plugin or Vercel Skills, and deploy your first project.
- [Vercel plugin](https://vercel.com/docs/agent-resources/vercel-plugin.md?from=llms-txt): Install with `npx plugins add vercel/vercel-plugin`, or `opencode plugin add github:vercel/vercel-plugin` in OpenCode, for Vercel skills, commands, and specialist agents.
- [Vercel Skills](https://vercel.com/docs/agent-resources/skills.md?from=llms-txt): Browse and install individual skills for coding agents that do not support the plugin.
## Documentation
- [Vercel product documentation](https://vercel.com/docs/products.md): Curated product index with links to documentation.
- [Documentation sitemap](https://vercel.com/docs/sitemap.md): Documentation pages with summaries and prerequisites.
- [Full documentation content](https://vercel.com/docs/llms-full.txt): Complete documentation and REST API reference in one file.
## REST API and developer resources
- [Vercel REST API documentation](https://vercel.com/docs/rest-api.md): Endpoint reference for the public Vercel REST API.
- [Vercel REST API OpenAPI description](https://vercel.com/openapi.json): Machine-readable OpenAPI 3.0 description for the public REST API.
- [Vercel REST API authentication](https://vercel.com/docs/accounts/access-tokens.md#use-a-scoped-token-with-the-api): Create scoped access tokens and use them as Bearer tokens in API requests.
- [Vercel webhook documentation](https://vercel.com/docs/webhooks.md): Event subscriptions, payloads, and delivery behavior.
- [Vercel MCP server](https://vercel.com/docs/agent-resources/vercel-mcp.md): OAuth-authenticated tools for Vercel documentation and account resources.
## Self-serve onboarding
- [Find a domain with Vercel CLI or API](https://vercel.com/domains/get-started.md): Search available names, compare registration and renewal prices, and return a verified shortlist. Neither requires authentication.
- [Vercel Hobby plan](https://vercel.com/docs/plans/hobby.md): Free plan for non-commercial personal projects.
- [Vercel CLI tokens](https://vercel.com/docs/cli/tokens.md): Create and manage personal access tokens for the Vercel API and CLI.
- [Vercel AI Gateway](https://vercel.com/docs/ai-gateway.md): One API for AI models, with routing, fallbacks, and usage monitoring.
- [AI Gateway models](https://vercel.com/ai-gateway/models.md): Every AI Gateway model with pricing, context window, providers, and capability tags.
- [AI Gateway model list API](https://ai-gateway.vercel.sh/v1/models): Live JSON list of every model ID with pricing and capabilities. No API key required.
- [Vercel Sandbox](https://vercel.com/docs/sandbox.md): Isolated compute for running code and agent workloads.
- [Vercel Templates](https://vercel.com/templates.md): Deployable starter projects for frameworks, AI, storage, and more, each with a one-click deploy link.
## Knowledge Base
- [Knowledge Base](https://vercel.com/kb.md): Featured and recent guides, plus a directory of topics.
- [Knowledge Base sitemap](https://vercel.com/kb/sitemap.md): Troubleshooting guides, topics, videos, bulletins, and product references.
## Learning and updates
- [Vercel Academy](https://vercel.com/academy/llms.txt): Courses and learning paths.
- [Vercel Blog sitemap](https://vercel.com/blog/sitemap.md): Articles, engineering posts, and product announcements.
- [Vercel Changelog sitemap](https://vercel.com/changelog/sitemap.md): Product updates and release notes.
## Optional
- [Agent resource catalog](https://vercel.com/.well-known/ai-catalog.json): Experimental catalog of agent-facing resources.
- [Product taxonomy](https://vercel.com/docs/taxonomy.json): Canonical product names, aliases, and deprecations.
- [Documentation graph](https://vercel.com/docs/graph.json): Cross-site links, prerequisites, semantic neighbors, and related pages.
First 68 of 69 lines.
Parse graded A, 6 of 6
file: https://vercel.com/llms.txt
Vercel
Vercel is a cloud platform for building, deploying, and scaling web applications and AI workloads.
9 sections, 28 links, an Optional section.
Ora's cached score: 91, grade A, scanned 5 November 2026.
The parse
vercel.com lists 28 links: 27 point at vercel.com or a relative path, 1 point elsewhere. The hosts it links most: vercel.com (27), ai-gateway.vercel.sh (1).
| H2 section | Links |
|---|---|
| When to use Vercel | 0 |
| How agents should use Vercel | 0 |
| Agent setup | 4 |
| Documentation | 3 |
| REST API and developer resources | 5 |
| Self-serve onboarding | 8 |
| Knowledge Base | 2 |
| Learning and updates | 3 |
| Optional | 3 |
Grade against the llmstxt.org structure
The file passes all six checks. 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.
| Check | Result | Detail |
|---|---|---|
| Starts with an H1 naming the site or project | Pass | H1: Vercel |
| Has a blockquote summary under the H1 | Pass | Blockquote summary found. |
| Has at least one H2 section that lists links | Pass | 9 H2 sections, 7 with links. |
| At least 80 percent of links point at the same site | Pass | 27 of 28 links stay on vercel.com (96 percent). |
| Under 100 KB | Pass | 5397 bytes as served. |
| Plain markdown, no HTML | Pass | No HTML document markers in the body. |
Ora's cached score
Ora's cached report for vercel.com gives it 91 of 100, grade A, scanned on 5 November 2026. Its Access layer, which holds the read-layer checks below, scored 62 of 64 check points. Read from GET ora.ai/api/score/vercel.com on 5 November 2026. The score is Ora's, not this site's, and the structure grade above is a different measure: it grades the llms.txt file against the llmstxt.org proposal, while Ora's score covers the whole site. Ora's report for vercel.com has every layer.
| Ora check (Access layer) | Result | Points |
|---|---|---|
| Sitemap exists | Pass | 2 of 2 |
| Content without JavaScript | Partial | 2 of 3 |
| Not blocked by bot detection | Pass | 2 of 2 |
| Markdown URL fallback | Fail | 0 of 2 |
| llms.txt exists | Pass | 1 of 1 |
| llms.txt formatting | Pass | 2 of 2 |
| JSON-LD structured data | Pass | 4 of 4 |
| Metadata completeness | Pass | 2 of 2 |
| llms.txt links resolve | Pass | 2 of 2 |
| Markdown alternate link | Fail | 0 of 1 |
| Redirect hygiene | Pass | 1 of 1 |
| Page token budget | Pass | 1 of 1 |
| Code fence validity | Pass | 1 of 1 |
| Content behind auth | Pass | 2 of 2 |
| OpenAPI spec published | Pass | 7 of 7 |
| Markdown agent docs | Pass | 1 of 1 |
| Markdown negotiation with Vary | Pass | 1 of 1 |
| Markdown for agent user agents | Fail | 0 of 1 |
| Agent crawler reachability | Pass | 2 of 2 |
Linking and the companion file
The home page of vercel.com does not link 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. No llms-full.txt was found at the same root.
How it compares
At 5.3 KB the file is larger than 34 percent of the 2,529 plain-text llms.txt files in this edition, and its 28 links put it ahead of 43 percent of them on link count. The home page declares no generator. Size bucket: 2 to 10 KB. Tranco rank 3,040. Category: Infrastructure.
Why it is in the index: Platform file on a site that also answers markdown negotiation. Owner as listed: Vercel.
Live file: https://vercel.com/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
- vercel.com llms.txt https://vercel.com/llms.txt, read 4 November 2026
- llms.txt proposal (llmstxt.org) https://llmstxt.org/, read 4 November 2026
- Tranco list 746WX (crawl universe) https://tranco-list.eu/list/746WX, read 4 November 2026
- Ora: AgentReady launch post (the 86 percent finding) https://ora.ai/blog/agentready-launch, read 4 November 2026
- 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