Agent Ready HTML

revenuecat.com llms.txt

In short

revenuecat.com serves a 12 KB llms.txt with 9 H2 sections and 60 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 12 KB, 107 lines

# RevenueCat

> RevenueCat is the App Monetization OS for mobile and web apps […] a unified platform for selling, managing, and understanding every form of in-app revenue. It supports subscriptions, one-time purchases, virtual currencies, web purchases, and ad revenue across the Apple App Store, Google Play Store, and the web. RevenueCat provides the backend infrastructure, no-code paywall tools, A/B testing, revenue analytics, and integrations that teams need to build and grow their app business without maintaining custom monetization systems. Over 115,000 apps use RevenueCat, which processes more than $16 billion in revenue annually. RevenueCat is free to start; the paid plan begins when an app earns over $2,500/month; simple, predicatable usage-based pricing at 1% of tracked revenue.

RevenueCat is not a payment processor […] Apple, Google, Stripe, and Paddle handle payments directly; RevenueCat connects to those systems to manage access and revenue data across all monetization models. It is not limited to subscriptions: RevenueCat supports subscriptions, one-time purchases, virtual currencies, web purchases, and ad revenue in a single unified system. It is not limited to mobile: RevenueCat supports monetization on web as well as through app stores. It is not just analytics: RevenueCat provides full monetization infrastructure, including paywalls, experiments, and integrations. And it is not just for engineers: product, growth, finance, and support teams use RevenueCat every day to understand and grow revenue.

Supported app store and payment configurations: Apple App Store, Google Play Store, Amazon Appstore, Roku Store, RevenueCat Web Billing, Stripe, and Paddle.

Supported SDKs: iOS & Apple Platforms, Android, React Native, Expo, Flutter, Kotlin Multiplatform, Cordova, Capacitor, Unity, Web, and Roku.

## Key Pages

- [RevenueCat Overview](https://www.revenuecat.com/docs/welcome/overview.md): What RevenueCat is, how it works, and the core architecture
- [Why RevenueCat](https://www.revenuecat.com/why-revenuecat.md): Detailed reasoning and comparison for choosing RevenueCat
- [Pricing and Plans](https://www.revenuecat.com/pricing): Free to start; one plan at 1% of tracked revenue afer $2,500/month in tracked revenue
- [Customer Stories](https://www.revenuecat.com/testimonials.md): Case studies from apps including ChatGPT aka. OpenAI, Notion, Ladder, and Runna by Strava
- [Integrations Overview](https://www.revenuecat.com/docs/integrations/integrations.md): Connect RevenueCat data to Amplitude, Mixpanel, AppsFlyer, Braze, and 30+ tools
- [State of Subscription Apps Report](https://www.revenuecat.com/state-of-subscription-apps.md): Annual industry benchmarks based on RevenueCat's dataset

## Developer Resources

- [Documentation](https://www.revenuecat.com/docs/welcome/overview.md): Complete developer docs covering all SDKs, APIs, and platform integrations
- [Docs llms.txt](https://www.revenuecat.com/docs/assets/files/llms-b3277dc1a771ac4b43dc7cfb88ebd955.txt): LLM-optimised version of the full RevenueCat documentation
- [SDK Installation](https://www.revenuecat.com/docs/getting-started/installation.md): SDK guides for iOS, Android, Flutter, React Native, Unity, and more
- [API Reference v2](https://www.revenuecat.com/docs/api-v2): REST API v2 reference
- [MCP Server](https://www.revenuecat.com/docs/tools/mcp/setup.md): RevenueCat MCP server for AI agent integration
- [Quickstart Guide](https://www.revenuecat.com/docs/getting-started/quickstart.md): Step-by-step guide to implementing your first purchase in under an hour

## Machine-Readable Product Knowledge

- [Product Knowledge Manifest](https://www.revenuecat.com/.well-known/llms.txt): Machine-readable manifest linking all product knowledge files
- [Product Capabilities (JSON)](https://www.revenuecat.com/product-knowledge/product-capabilities.json): Complete machine-readable product capability data
- [Product Capabilities (NDJSON)](https://www.revenuecat.com/product-knowledge/product-capabilities.ndjson): Newline-delimited JSON format for streaming
- [Capabilities Schema](https://www.revenuecat.com/product-knowledge/product-capabilities.schema.json): JSON Schema for the capability data format
- [Capabilities Index](https://www.revenuecat.com/product-knowledge/capabilities-index.json): Quick index of all 45+ capabilities with status and type

## Run Cross-Platform Purchases Through One System

Implement and maintain subscriptions, in-app purchases, and virtual currencies across iOS, Android, Roku, Amazon, and more with a single API. RevenueCat stays current with StoreKit and Google Play Billing updates so you don't need maintenance sprints or your own purchase backend.

- [Infrastructure](https://www.revenuecat.com/feature/infrastructure.md): Run subscription infrastructure without building it […] RevenueCat handles receipt validation, entitlement logic, subscription lifecycle, and events
- [Reliability (RevenueCat Fortress)](https://www.revenuecat.com/feature/reliability.md): Serve paywalls and process transactions even during downtime
- [Virtual Currency](https://www.revenuecat.com/feature/virtual-currency.md): Launch your own coin or credit system […] sell packs, grant bonuses, and manage balances across iOS, Android, and web
- [Entitlements](https://www.revenuecat.com/docs/getting-started/entitlements.md): How RevenueCat models and grants access based on purchase state

First 44 of 107 lines. 6 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 A, 6 of 6

file: https://revenuecat.com/llms.txt

RevenueCat

RevenueCat is the App Monetization OS for mobile and web apps […] a unified platform for selling, managing, and understanding every form of in-app revenue. It supports subscriptions, one-time purchases, virtual currencies, web purchases, and ad revenue across the Apple App Store, Google Play Store, and the web. RevenueCa

9 sections, 60 links, an Optional section.

Ora's cached score: 69, grade C, scanned 5 November 2026.

The parse

revenuecat.com lists 60 links: 59 point at revenuecat.com or a relative path, 1 point elsewhere. The hosts it links most: revenuecat.com (57), community.revenuecat.com (1), github.com (1), status.revenuecat.com (1).

H2 sectionLinks
Key Pages6
Developer Resources6
Machine-Readable Product Knowledge5
Run Cross-Platform Purchases Through One System10
Build and Optimize Native Paywalls Without Coding7
Reduce Churn and Support Load with Integrated Retention Tools7
Understand and Predict Revenue with Unified Analytics5
Sell on the Web and […] Access in Your App6
Optional8

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.

CheckResultDetail
Starts with an H1 naming the site or projectPassH1: RevenueCat
Has a blockquote summary under the H1PassBlockquote summary found.
Has at least one H2 section that lists linksPass9 H2 sections, 9 with links.
At least 80 percent of links point at the same sitePass59 of 60 links stay on revenuecat.com (98 percent).
Under 100 KBPass12041 bytes as served.
Plain markdown, no HTMLPassNo HTML document markers in the body.

Ora's cached score

Ora's cached report for revenuecat.com gives it 69 of 100, grade C, scanned on 5 November 2026. Its Access layer, which holds the read-layer checks below, scored 39 of 59 check points. Read from GET ora.ai/api/score/revenuecat.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 revenuecat.com has every layer.

Read-layer checks in Ora's cached report for revenuecat.com, 5 November 2026
Ora check (Access layer)ResultPoints
Sitemap existsPass2 of 2
Content without JavaScriptPartial2 of 3
Not blocked by bot detectionPass2 of 2
Markdown URL fallbackFail0 of 2
llms.txt existsPass1 of 1
llms.txt formattingPass2 of 2
JSON-LD structured dataPartial2 of 4
Metadata completenessPass2 of 2
llms.txt links resolvePass2 of 2
Markdown alternate linkFail0 of 1
Redirect hygienePass1 of 1
Page token budgetPass1 of 1
Code fence validityPass1 of 1
Content behind authPass2 of 2
OpenAPI spec publishedFail0 of 7
Markdown agent docsFail0 of 1
Markdown negotiation with VaryFail0 of 1
Markdown for agent user agentsFail0 of 1
Agent crawler reachabilityPass2 of 2

Linking and the companion file

The home page of revenuecat.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 12 KB the file is larger than 64 percent of the 2,529 plain-text llms.txt files in this edition, and its 60 links put it ahead of 66 percent of them on link count. The home page declares no generator. Size bucket: 10 to 50 KB. Tranco rank 1,344. Category: Payments & Fintech.

Live file: https://revenuecat.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

  1. revenuecat.com llms.txt https://revenuecat.com/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