--- title: "docs.perplexity.ai llms.txt, graded: Agent Ready HTML" description: "The docs.perplexity.ai llms.txt parsed and graded A against the llmstxt.org structure: 2 sections, 190 links, 42 KB. Read 2026-11-04." canonical: https://agentreadyhtml.com/llms-txt-index/docs-perplexity-ai/ site: "Agent Ready HTML" last_updated: 2026-11-05 section: "llms.txt Index" --- # docs.perplexity.ai llms.txt, graded: Agent Ready HTML > The docs.perplexity.ai llms.txt parsed and graded A against the llmstxt.org structure: 2 sections, 190 links, 42 KB. Read 2026-11-04. Source: https://agentreadyhtml.com/llms-txt-index/docs-perplexity-ai/ Site: Agent Ready HTML Last reviewed: 2026-11-05 # docs.perplexity.ai llms.txt In short docs.perplexity.ai serves a 42 KB llms.txt with 2 H2 sections and 190 links, graded A on the llmstxt.org structure (6 of 6 checks). It passes every check. The home page links the file. Read 4 November 2026. The file is one of 2,529 plain-text llms.txt files in this edition of the index. **llms.txt** 42 KB, 201 lines ```markdown # Perplexity > Perplexity API docs. Search: ranked web results with extracted page text for your own model. Agent: hosted models with web search and tools, returning a cited answer. Decisions: calibrated probabilities. Orchestrator (private preview): OpenAI- and Anthropic-format routing. Embeddings: vectors. - [Overview](https://docs.perplexity.ai/docs/getting-started/overview.md): Perplexity API Platform - build with the Orchestrator, Agent, Search, Embeddings, and Decisions APIs. Real-time, web-wide research and Q&A capabilities for your products. - [Quickstart](https://docs.perplexity.ai/docs/getting-started/quickstart.md): Generate an API key and make your first call in < 3 minutes. - [Pricing](https://docs.perplexity.ai/docs/getting-started/pricing.md): Understand Perplexity API pricing, model rates, request fees, billing setup, and rate-limit references. - [Perplexity API MCP Server](https://docs.perplexity.ai/docs/getting-started/integrations/mcp-server.md): Connect AI assistants to Perplexity's search and reasoning capabilities using the Model Context Protocol (MCP). - [Perplexity Computer MCP Server](https://docs.perplexity.ai/docs/getting-started/integrations/computer-mcp-server.md): Give AI assistants the ability to complete real-world tasks using Perplexity Computer through the Model Context Protocol (MCP). - [Perplexity CLI](https://docs.perplexity.ai/docs/cli/overview.md): Install and use Perplexity's pplx command-line interface for web search and query-relevant page snippets from your terminal or coding agent. - [Perplexity Orchestrator API](https://docs.perplexity.ai/docs/router/quickstart.md): Unified access to open-weight models through OpenAI Chat Completions, OpenAI Responses, and Anthropic Messages APIs, with your Perplexity API key. - [Orchestrator Models & Pricing](https://docs.perplexity.ai/docs/router/models.md): The model catalog for the Perplexity Orchestrator API, with per-token pricing for Perplexity-hosted and third-party models. - [Routing & Reliability](https://docs.perplexity.ai/docs/router/routing-and-reliability.md): How the Perplexity Orchestrator API routes requests across model deployments, and what happens automatically when a provider degrades or fails. - [Agent API](https://docs.perplexity.ai/docs/agent-api/quickstart.md): The Agent API is a multi-provider, interoperable API specification for building LLM applications. Access models from multiple providers with integrated real-time web search, tool configuration, reasoning control, and token budgets[…]all through one unified interface. - [Define the run](https://docs.perplexity.ai/docs/agent-api/building-agents/define-the-run.md): Configure the agent run: start from an effort level, then customize the system prompt, the loop bound, and the model. - [Prompt the agent](https://docs.perplexity.ai/docs/agent-api/building-agents/prompt-the-agent.md): Split the standing rules (the system prompt) from the question (input), and ground the run so the agent searches and answers on the right thing. - [Give it tools](https://docs.perplexity.ai/docs/agent-api/building-agents/give-it-tools.md): Enable built-in tools and your own custom tools in the tools array, let the model decide when to call them, and read the results back from the response. - [Run code](https://docs.perplexity.ai/docs/agent-api/building-agents/run-code.md): Give the agent a sandbox so it computes exact answers instead of estimating them, runs real code, and returns generated files. - [Structure the output](https://docs.perplexity.ai/docs/agent-api/building-agents/shape-output.md): Force the model to return JSON your code can parse instead of prose you have to scrape. - [Keep context](https://docs.perplexity.ai/docs/agent-api/building-agents/keep-context.md): Carry a conversation across turns by replaying it in the input array, so a follow-up understands what came before. - [Agent API Models](https://docs.perplexity.ai/docs/agent-api/models.md): Compare Agent API models, token pricing, supported service tiers, and provider documentation. - [Effort](https://docs.perplexity.ai/docs/agent-api/effort.md): Explore Perplexity's Agent API effort levels - pre-configured setups optimized for different use cases with specific models, search configs, and tool access. - [Profiles](https://docs.perplexity.ai/docs/agent-api/profiles.md): Run an Agent API request with a reusable, versioned configuration that you save and manage. - [Model Fallback](https://docs.perplexity.ai/docs/agent-api/model-fallback.md): Specify multiple models in a fallback chain for higher availability and automatic failover. - [Tools overview](https://docs.perplexity.ai/docs/agent-api/tools/overview.md): The tools an Agent API run can call - Perplexity-hosted built-in tools, remote MCP servers, and your own custom functions - and where to go for each. - [Web Search](https://docs.perplexity.ai/docs/agent-api/tools/web-search.md): Search the web from the Agent API with filters, search configurations, pricing, parameters, and response fields. - [Image Search](https://docs.perplexity.ai/docs/agent-api/tools/image-search.md): Search for web images from the Agent API with result limits, domain and format filters, typed results, streaming events, and per-invocation pricing. - [Sandbox](https://docs.perplexity.ai/docs/agent-api/tools/sandbox.md): Execute code in isolated containers from inside an Agent API request. ``` First 28 of 201 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 A, 6 of 6 file: https://docs.perplexity.ai/llms.txt Perplexity Perplexity API docs. Search: ranked web results with extracted page text for your own model. Agent: hosted models with web search and tools, returning a cited answer. Decisions: calibrated probabilities. Orchestrator (private preview): OpenAI- and Anthropic-format routing. Embeddings: vectors. 2 sections, 190 links, an Optional section. Ora's cached score: 76, grade B, scanned 24 August 2026. ## The parse docs.perplexity.ai lists 190 links: 190 point at perplexity.ai or a relative path, 0 point elsewhere. The hosts it links most: docs.perplexity.ai (183), community.perplexity.ai (1), research.perplexity.ai (1). | H2 section | Links | | --- | --- | | OpenAPI Specs | 5 | | Optional | 2 | ## 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](https://agentreadyhtml.com/llms-txt/). | Check | Result | Detail | | --- | --- | --- | | Starts with an H1 naming the site or project | Pass | H1: Perplexity | | Has a blockquote summary under the H1 | Pass | Blockquote summary found. | | Has at least one H2 section that lists links | Pass | 2 H2 sections, 2 with links. | | At least 80 percent of links point at the same site | Pass | 190 of 190 links stay on perplexity.ai (100 percent). | | Under 100 KB | Pass | 42749 bytes as served. | | Plain markdown, no HTML | Pass | No HTML document markers in the body. | ## Ora's cached score Ora's cached report for docs.perplexity.ai gives it **76 of 100, grade B**, scanned on 24 August 2026. Its Access layer, which holds the read-layer checks below, scored 55 of 64 check points. Read from GET ora.ai/api/score/docs.perplexity.ai 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 docs.perplexity.ai](https://ora.ai/score/docs.perplexity.ai?utm_source=agentreadyhtml.com&utm_medium=referral&utm_campaign=index-entry) has every layer. | Ora check (Access layer) | Result | Points | | --- | --- | --- | | Sitemap exists | Pass | 2 of 2 | | Content without JavaScript | Partial | 1 of 3 | | Not blocked by bot detection | Pass | 2 of 2 | | Markdown URL fallback | Pass | 2 of 2 | | llms.txt exists | Pass | 1 of 1 | | llms.txt formatting | Partial | 1 of 2 | | JSON-LD structured data | Pass | 3 of 4 | | Metadata completeness | Pass | 2 of 2 | | llms.txt links resolve | Pass | 2 of 2 | | Markdown alternate link | Pass | 1 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 | Partial | 0 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 docs.perplexity.ai 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. ## How it compares At 42 KB the file is larger than 90 percent of the 2,529 plain-text llms.txt files in this edition, and its 190 links put it ahead of 89 percent of them on link count. The home page declares no generator. Size bucket: 10 to 50 KB. Curated example. Category: AI lab. Why it is in the index: Answer-engine operator publishing its own API docs index. Owner as listed: Perplexity. Live file: [https://docs.perplexity.ai/llms.txt](https://docs.perplexity.ai/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. - [All entries](https://agentreadyhtml.com/llms-txt-index/) - [Edition 2026-11-04](https://agentreadyhtml.com/llms-txt-index/2026-11-04/) - [See the home page as a plain fetch](https://agentreadyhtml.com/viewer/?url=https%3A%2F%2Fdocs.perplexity.ai%2F) ## Sources 1. [docs.perplexity.ai llms.txt](https://docs.perplexity.ai/llms.txt) https://docs.perplexity.ai/llms.txt, read 4 November 2026 2. [llms.txt proposal (llmstxt.org)](https://llmstxt.org/) https://llmstxt.org/, read 4 November 2026 3. [Tranco list 746WX (crawl universe)](https://tranco-list.eu/list/746WX) 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?utm_source=agentreadyhtml.com&utm_medium=referral&utm_campaign=entry) 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?utm_source=agentreadyhtml.com&utm_medium=referral&utm_campaign=entry) https://ora.ai/llms.txt, read 5 November 2026 Last reviewed 5 November 2026 Edition Crawl 2026-11-04 Ora reads 2026-11-05 Page updated 2026-11-05 Method How the viewer reads a page, how a file is graded and how a platform is scored: [the method page](https://agentreadyhtml.com/method/).