--- title: "sendbird.com llms.txt, graded: Agent Ready HTML" description: "The sendbird.com llms.txt parsed and graded B against the llmstxt.org structure: 1,112 links in a 276 KB file, first 60 KB parsed." canonical: https://agentreadyhtml.com/llms-txt-index/sendbird-com/ site: "Agent Ready HTML" last_updated: 2026-11-05 section: "llms.txt Index" --- # sendbird.com llms.txt, graded: Agent Ready HTML > The sendbird.com llms.txt parsed and graded B against the llmstxt.org structure: 1,112 links in a 276 KB file, first 60 KB parsed. Source: https://agentreadyhtml.com/llms-txt-index/sendbird-com/ Site: Agent Ready HTML Last reviewed: 2026-11-05 # sendbird.com llms.txt In short sendbird.com serves a 276 KB llms.txt with 1,112 links. The crawl kept and parsed the first 60 KB of it, which holds 1 H2 section, graded B on the llmstxt.org structure (5 of 6 checks). It lacks a size under 100 KB. **llms.txt** parsed the first 60 KB of a 276 KB file ```markdown # Sendbird > Product home (communications API): https://sendbird.com/communications-api-platform > AI concierge (Delight): https://delight.ai > This site root `/` is a chooser between Sendbird and Delight. ## Primary pages - [Communications API platform](https://sendbird.com/communications-api-platform): Chat, voice, video, business messaging APIs # Documentation - [Documentation for SDK and API ](https://sendbird.com/docs): Discover tools for enhancing chat experiences with auto-moderation, AI responses, and personalized notifications. - [Documentation for SDK and API ](https://sendbird.com/docs/chat): A comprehensive suite of tools for developers to build and manage real-time chat experiences, including SDKs, UI kits, and APIs. - [Overview ](https://sendbird.com/docs/business-messaging/user-guide/v2/overview): Comprehensive guide on Sendbird Business Messaging, covering channels, templates, sequences, and integration for effective notification management. - [Overview ](https://sendbird.com/docs/advanced-moderation/guide/v1/overview): Overview of Sendbird's Advanced Moderation features for optimizing chat safety and compliance through AI and human insights. - [Overview ](https://sendbird.com/docs/ai-agent/guide/v1/overview): Overview of Sendbird's AI Agent for automating customer conversations and support across messaging channels. - [Documentation for SDK and API ](https://sendbird.com/docs/desk): Desk is a customer support product offering live chat, ticket management, and performance analytics through the Sendbird Dashboard and SDK. - [Overview ](https://sendbird.com/docs/support-chat/guide/v1/overview): Integrate Sendbird Chat with CRM platforms like Salesforce to enhance customer service through Support Chat Connectors. - [Documentation for SDK and API ](https://sendbird.com/docs/calls): A toolkit for developers to integrate real-time voice and video call functionality into applications using Sendbird's Call SDK and Platform API. - [Documentation for SDK and API ](https://sendbird.com/docs/live): A live streaming product enabling real-time events with messaging features, SDKs, and server-side control through Platform API. # Blog Listings - [AI agent](https://sendbird.com/blog/category/ai-agent): Overview of AI agent categories and related resources available on the Sendbird blog. - [Security](https://sendbird.com/blog/category/security): Overview of blog categories related to AI agents, insights, products, case studies, engineering, Sendbird, and security. - [Sendbird](https://sendbird.com/blog/category/sendbird): Overview of Sendbird's blog categories including AI agent, insights, product updates, case studies, engineering, and security. - [Insights](https://sendbird.com/blog/category/insights): Overview of blog categories including AI agent, insights, product, case studies, engineering, Sendbird, and security. - [Engineering](https://sendbird.com/blog/category/engineering): Overview of blog categories including AI agent, insights, product, case studies, engineering, Sendbird, and security. - [Product](https://sendbird.com/blog/category/product): Overview of Sendbird's blog categories including AI agents, insights, product updates, case studies, engineering, security, and company news. # Blogs - [Introducing automatic hallucination detection for AI agents](https://sendbird.com/blog/ai-hallucination-detection): Sendbird introduces automatic hallucination detection for AI agents to enhance accuracy and trustworthiness in customer support. - [Sendbird new AI agent features roundup](https://sendbird.com/blog/best-ai-agent-features): Overview of new AI agent features from Sendbird, enhancing customer support with proactive, integrated, and specialized solutions across various platforms. - [Introducing AI agent safeguarding for enterprise customer support](https://sendbird.com/blog/how-to-safeguard-ai-agents): Learn about Sendbird's AI agent safeguards for enterprise customer support, ensuring compliance and performance through real-time monitoring and customizable settings. - [6 ways Sendbird is embracing AI securely](https://sendbird.com/blog/using-ai-securely): Sendbird outlines six secure AI practices to enhance customer service, protect data, and […] teams while maintaining a strong security posture. - [Introducing the localized AI agent by Sendbird](https://sendbird.com/blog/localized-ai-agents-for-multilingual-customer-service): Sendbird introduces a localized AI agent that adapts to multiple languages and contexts, enhancing global customer support efficiency and accuracy. - [Introducing sentiment analysis for AI agents](https://sendbird.com/blog/ai-agents-for-sentiment-analysis): This document introduces sentiment analysis for AI agents, enhancing customer service by providing insights into user emotions during interactions. - [Why Zendesk-style support is broken[…]and what AI does better: A support leader's take](https://sendbird.com/blog/ai-for-leaders-in-customer-service): Explores the shortcomings of traditional customer support and how AI can enhance service efficiency and customer satisfaction. - [Introducing AI agent activity trails for AI transparency](https://sendbird.com/blog/ai-transparency-activity-trails): Explore Sendbird's AI agent activity trails, enhancing transparency and trust in AI customer support through detailed decision tracking. ``` First 39 of 244 lines. 2 spans 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://sendbird.com/llms.txt Sendbird Product home (communications API): https://sendbird.com/communications-api-platform AI concierge (Delight): https://delight.ai This site root \`/\` is a chooser between Sendbird and Delight. 1 section, 1,112 links, no Optional section. Ora's cached score: 63, grade C, scanned 9 October 2026. ## The parse The crawl recorded 1,112 links in the whole 276 KB file but kept only its first 60 KB, which is what is parsed here. In that part, 225 links appear: 225 point at sendbird.com or a relative path, 0 point elsewhere. The hosts it links most: sendbird.com (225). | H2 section | Links | | --- | --- | | Primary pages | 225 | ## Grade against the llmstxt.org structure The file passes 5 of 6 checks and fails 1: under 100 kb. 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: Sendbird | | Has a blockquote summary under the H1 | Pass | Blockquote summary found. | | Has at least one H2 section that lists links | Pass | 1 H2 section, 1 with links. | | At least 80 percent of links point at the same site | Pass | 225 of 225 links stay on sendbird.com (100 percent). | | Under 100 KB | Fail | 282204 bytes as served. | | Plain markdown, no HTML | Pass | No HTML document markers in the body. | ## Ora's cached score Ora's cached report for sendbird.com gives it **63 of 100, grade C**, scanned on 9 October 2026. Its Access layer, which holds the read-layer checks below, scored 44 of 59 check points. Read from GET ora.ai/api/score/sendbird.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 sendbird.com](https://ora.ai/score/sendbird.com?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 | 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 | Partial | 1 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 | Fail | 0 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 sendbird.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. An llms-full.txt is served at the same root. ## How it compares At 276 KB the file is larger than 97 percent of the 2,529 plain-text llms.txt files in this edition, and its 1,112 links put it ahead of 97 percent of them on link count. The home page declares no generator. Size bucket: 100 KB and over. Tranco rank 1,974. Category: AI & ML. Live file: [https://sendbird.com/llms.txt](https://sendbird.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. - [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%2Fsendbird.com%2F) ## Sources 1. [sendbird.com llms.txt](https://sendbird.com/llms.txt) https://sendbird.com/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/).