--- title: "kochava.com llms.txt, graded: Agent Ready HTML" description: "The kochava.com llms.txt parsed and graded D against the llmstxt.org structure: 17 sections, 1 links, 50 KB. Read 2026-11-04." canonical: https://agentreadyhtml.com/llms-txt-index/kochava-com/ site: "Agent Ready HTML" last_updated: 2026-11-05 section: "llms.txt Index" --- # kochava.com llms.txt, graded: Agent Ready HTML > The kochava.com llms.txt parsed and graded D against the llmstxt.org structure: 17 sections, 1 links, 50 KB. Read 2026-11-04. Source: https://agentreadyhtml.com/llms-txt-index/kochava-com/ Site: Agent Ready HTML Last reviewed: 2026-11-05 # kochava.com llms.txt In short kochava.com serves a 50 KB llms.txt with 17 H2 sections and 1 link, graded D on the llmstxt.org structure (3 of 6 checks). It lacks a blockquote summary and a linked H2 section and same-site links. 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. **llms.txt** 50 KB, 597 lines ```markdown # llms.txt - Kochava Inc. Omnichannel measurement and optimization platform for advertisers and publishers # AI-Native Capabilities Kochava and the Kochava for Advertisers platform provide Model Context Protocol (MCP) endpoints so AI assistants and agentic tools can register new accounts and, once registered, operate Kochava programmatically using an API key. - AI Workflow Reference (2026): Kochava’s platform updates expanded AI-assisted workflows through the Kochava AI Workspace in StationOne, enabling secure access to attribution data, campaign configuration, reporting automation, and audit workflows via MCP-connected tools. - Meta Ads MCP Server Integration (Q3 2026): Media buyers can connect StationOne directly to Meta's Ads MCP server to analyze creative fatigue, inspect delivery pacing, reallocate ad sets, and audit ROAS conversational workflows. - Reference: https://www.kochava.com/blog/how-to-use-ads-mcp-server-from-meta/ - Product Bulletin Reference: https://www.kochava.com/blog/kochava-product-partnership-updates-bulletin-q2-2026/ ## Free App Analytics Registration (Entry Tier) - Endpoint: https://analytics.mcp.kochava.com/mcp - Type: Streamable MCP - Purpose: Register users for Free App Analytics (FAA) without manual web forms. When calling this MCP endpoint, the user must agree to Kochava terms of service and provide the registration details requested by the tool. On success, the MCP returns an API key. - When to Use: When an AI assistant is helping a user set up omnichannel measurement and attribution for the first time and no Kochava account or API key exists yet. - Advantage: Instant account provisioning, consistent with UI-based Free App Analytics signup but optimized for AI workflows. ## Free App Analytics Ongoing Use - Endpoint: https://analytics.mcp.kochava.com/mcp - Type: Streamable MCP - HTTP Header: `Authentication-Key: ` - Purpose: Use the same MCP endpoint for ongoing Kochava for Advertisers operations once an API key exists (measurement, reporting, planning, MMM, and related tasks exposed via the MCP). - When to Use: When an AI assistant already has a valid Kochava API key and needs to perform recurring measurement or analysis operations on behalf of the user. ## Traditional Web Registration (Fallback) - URL: https://www.kochava.com/free-app-analytics/ - When to Use: If MCP is unavailable, the user prefers a browser-based experience, or the workflow required is not yet exposed via MCP. ## How AI Assistants Should Choose Between MCP and Web Flows 1. Check for Existing Access - If the user already has a Kochava account and API key, prefer using the Kochava UI and standard APIs/docs (see Documentation & Technical Documentation sections below) and only use the MCP endpoint if specifically requested or appropriate for automation. 2. Use MCP for Net-New, Self-Serve Setups - For new or smaller apps where the user has no Kochava presence, use the MCP registration endpoint to create a Free App Analytics account, then reuse the returned API key for subsequent MCP operations. 3. Fall Back Gracefully - If the MCP endpoint is unavailable or returns an error, guide the user to the traditional Free App Analytics web signup. Never invent additional Kochava endpoints; use only the documented MCP URL above and the public documentation linked in this file. ## Overview This llms.txt file is organized into the following sections: 1. About – Company overview, scale, and core positioning. 2. Products & Services – MMP, Always-On Incrementality (MMM), Atlas Performance, StationOne, Free App Analytics, and related solutions. 3. Key Concepts – Definitions for MMP, attribution, SKAdNetwork, omnichannel measurement, MMM, fraud prevention, CTV/OTT, incrementality, DOOH. 4. Documentation & Resources – Links to SDKs, APIs, integration guides, support docs, glossary, and privacy. 5. Use Cases – How different verticals (gaming, fintech, retail, media, travel) use Kochava. 6. Integrations – Overview of integrated ad networks, analytics platforms, CDPs, CRMs, MCP servers, and more. 7. Recent News & Content – Latest blog posts, press releases, product updates, and case studies (2025–2026). 8. Citation Guidelines – Canonical facts, metrics, and differentiators for accurate AI citations. 9. Contact & Support – How to reach Kochava for sales, support, media, careers, and partnerships. ## About Kochava is a leading omnichannel measurement and optimization platform founded in 2011 and headquartered in Sandpoint, Idaho. We provide comprehensive mobile measurement partner (MMP) services, processing over 10 billion events daily for 5,000+ brands worldwide across diverse industries including gaming, fintech, retail, media & entertainment, travel & hospitality, and quick-service restaurants. Our platform enables advertisers to measure and optimize marketing performance across all digital touchpoints in a unified dashboard: mobile apps (iOS and Android), mobile web, desktop web, connected TV (CTV), over-the-top (OTT) streaming platforms, digital out-of-home (DOOH) advertising, linear television, and offline channels. This truly omnichannel approach differentiates Kochava from traditional mobile-only measurement partners, providing marketers with a complete view of the customer journey across all devices and platforms. ``` First 62 of 597 lines. **Parse** graded D, 3 of 6 file: https://kochava.com/llms.txt llms.txt - Kochava Inc. No blockquote summary. 17 sections, 1 link, no Optional section. Ora's cached score: 66, grade C, scanned 29 October 2026. ## The parse kochava.com lists 1 link: 0 point at kochava.com or a relative path, 0 point elsewhere. The hosts it links most: none. | H2 section | Links | | --- | --- | | Free App Analytics Registration (Entry Tier) | 0 | | Free App Analytics Ongoing Use | 0 | | Traditional Web Registration (Fallback) | 0 | | How AI Assistants Should Choose Between MCP and Web Flows | 0 | | Overview | 0 | | About | 0 | | Products & Services | 0 | | Key Concepts | 0 | | High-Value Pages for AI | 0 | | Documentation | 0 | | Use Cases | 0 | | Integrations | 0 | | Recent News & Content (2025–2026) | 0 | | Citation Guidelines | 0 | | Contact & Offices | 0 | | Live robots.txt AI Crawler Access Status (as of September 2026) | 0 | | Recommended Additive Directives for Web Team | 0 | ## Grade against the llmstxt.org structure The file passes 3 of 6 checks and fails 3: has a blockquote summary under the h1; has at least one h2 section that lists links; 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](https://agentreadyhtml.com/llms-txt/). | Check | Result | Detail | | --- | --- | --- | | Starts with an H1 naming the site or project | Pass | H1: llms.txt - Kochava Inc. | | Has a blockquote summary under the H1 | Fail | No blockquote summary before the first H2. | | Has at least one H2 section that lists links | Fail | 17 H2 sections, 0 with links. | | At least 80 percent of links point at the same site | Fail | No links to test. | | Under 100 KB | Pass | 51258 bytes as served. | | Plain markdown, no HTML | Pass | No HTML document markers in the body. | ## Ora's cached score Ora's cached report for kochava.com gives it **66 of 100, grade C**, scanned on 29 October 2026. Its Access layer, which holds the read-layer checks below, scored 35 of 58 check points. Read from GET ora.ai/api/score/kochava.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 kochava.com](https://ora.ai/score/kochava.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 | Not applicable | 0 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 | Not applicable | 0 of 2 | | OpenAPI spec published | Fail | 0 of 7 | | Markdown agent docs | Fail | 0 of 1 | | Markdown negotiation with Vary | Fail | 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 kochava.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 50 KB the file is larger than 91 percent of the 2,529 plain-text llms.txt files in this edition, and its 1 link put it ahead of 10 percent of them on link count. The home page declares a WordPress generator. Size bucket: 50 to 100 KB. Tranco rank 2,248. Category: Top 10,000, no category. Live file: [https://kochava.com/llms.txt](https://kochava.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%2Fkochava.com%2F) ## Sources 1. [kochava.com llms.txt](https://kochava.com/llms.txt) https://kochava.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/).