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Mollie vs RevenueCat

Mollie scores higher on the AgentReady, 55/100 against 50/100. They differ on 8 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

Mollie. Mollie is a payment service provider powering growth for over 250,000 businesses, from startups to enterprises.

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 Mollie is ahead

Mollie 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 adopt: cli available and mcp integration available. RevenueCat misses those.

And on operate, structured, predictable output. RevenueCat misses it.

Where RevenueCat is ahead

RevenueCat passes pricing understandable, and Mollie does not. That is understand, whether an agent can read the docs and work out how the API behaves before calling it.

It also holds adopt: free trial or free allowance, fast time to first request and copyable quickstart. Mollie misses those.

What neither does

Both fail llms-full.txt / full agent docs, structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented, no mandatory sales call, programmatic credential creation, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified. 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. Mollie leads 93 to 80. Mollie misses llms-full.txt / full agent docs; RevenueCat misses llms-full.txt / full agent docs, mcp discoverable.

Understand. RevenueCat leads 23 to 15. Mollie misses structured api reference, openapi / spec quality, authentication documented, 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. Mollie leads 65 to 60. Mollie misses no mandatory sales call, programmatic credential creation, free trial or free allowance, fast time to first request, copyable quickstart; RevenueCat misses no mandatory sales call, programmatic credential creation, cli available, mcp integration available.

Operate. Mollie leads 47 to 35. Mollie misses machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified; RevenueCat misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified.

Pricing

Mollie 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

Signal counts are level here, so fit and price decide it. Full profiles: Mollie and RevenueCat. Alternatives to each: Mollie, RevenueCat.

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