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Lago vs Mollie

Mollie scores higher on the AgentReady, 55/100 against 39/100. They differ on 13 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.

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

Where Lago is ahead

Lago passes authentication documented, 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: no mandatory sales call. Mollie misses it.

And on operate, agent compatibility verified. Mollie misses it.

Where Mollie is ahead

Mollie 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 adopt: self-service signup, agent-compatible signup flow and cli available. Lago misses those.

And on operate, structured, predictable output and observable execution. Lago misses those.

What neither does

Both fail llms-full.txt / full agent docs, structured api reference, openapi / spec quality, pricing understandable, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented, programmatic credential creation, free trial or free allowance, fast time to first request, copyable quickstart, 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. Mollie leads 93 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; Mollie misses llms-full.txt / full agent docs.

Understand. Lago leads 23 to 15. Lago misses structured api reference, openapi / spec quality, pricing understandable, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; 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.

Adopt. Mollie leads 65 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; Mollie misses no mandatory sales call, programmatic credential creation, free trial or free allowance, fast time to first request, copyable quickstart.

Operate. Mollie leads 47 to 41. Lago misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution; Mollie misses 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. Mollie does not publish one.

Signal by signal

Which to pick

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

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