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Lago vs RevenueCat

RevenueCat scores higher on the AgentReady, 50/100 against 39/100. They differ on 17 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

Lago. Lago is a billing platform that provides API access for pushing customer information and metrics (events) from applications to a billing system.

RevenueCat. RevenueCat is a platform that helps app developers build and grow their app business by powering purchases, managing customer data, and growing revenue on iOS, Android, and the web.

Where Lago is ahead

Lago passes mcp discoverable, and RevenueCat does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds understand: authentication documented. RevenueCat misses it.

And on adopt, no mandatory sales call and mcp integration available. RevenueCat misses those.

Finally, on operate, agent compatibility verified. RevenueCat misses it.

Where RevenueCat is ahead

RevenueCat passes clear canonical domain, clear product positioning, public docs discoverable, llms.txt published and machine-readable metadata, and Lago does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds understand: pricing understandable. Lago misses it.

And on adopt, self-service signup, agent-compatible signup flow, free trial or free allowance, fast time to first request and copyable quickstart. Lago misses those.

Finally, on operate, observable execution. Lago misses it.

What neither does

Both fail llms-full.txt / full agent docs, structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented, programmatic credential creation, cli available, structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable. If your agent needs any of those, you will be building it yourself either way.

Score, pillar by pillar

The AgentReady splits into four pillars, scored separately, because a product can be easy to find and still impossible to adopt.

Discover is whether an agent can find the product at all without being told it exists. RevenueCat leads 80 to 47. Lago misses clear canonical domain, clear product positioning, public docs discoverable, llms.txt published, llms-full.txt / full agent docs, machine-readable metadata; RevenueCat misses llms-full.txt / full agent docs, mcp discoverable.

Understand. Both sit at 23/100 here. Lago misses structured api reference, openapi / spec quality, pricing understandable, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; RevenueCat misses structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.

Adopt. RevenueCat leads 60 to 45. Lago misses self-service signup, agent-compatible signup flow, programmatic credential creation, free trial or free allowance, fast time to first request, copyable quickstart, cli available; RevenueCat misses no mandatory sales call, programmatic credential creation, cli available, mcp integration available.

Operate. Lago leads 41 to 35. Lago misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution; RevenueCat misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified.

Pricing

Lago does not publish a machine-readable starting price. RevenueCat starts at 1% of MTR and has a free tier.

Signal by signal

Which to pick

RevenueCat clears more of the signals an agent needs, so it is the safer default for unattended use. Full profiles: Lago and RevenueCat. Alternatives to each: Lago, RevenueCat.

An agent can fetch this as data: POST /v1/compare {"slugs": ["lago", "revenuecat"]}