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Lago vs Paddle

Paddle scores higher on the AgentReady, 83/100 against 39/100. They differ on 16 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.

Paddle. Paddle is a Merchant of Record platform for digital product businesses that manages payments, tax, compliance, and billing across 300+ markets.

Where Lago is ahead

Lago passes search discoverable, and Paddle 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. Paddle misses it.

And on adopt, no mandatory sales call, official typescript sdk and official python sdk. Paddle misses those.

Finally, on operate, canonical workflow succeeds and agent compatibility verified. Paddle misses those.

Where Paddle is ahead

Paddle passes clear canonical domain, clear product positioning, 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: structured api reference and pricing understandable. Lago misses those.

And on adopt, self-service signup, free trial or free allowance and cli available. Lago misses those.

What neither does

Both fail public docs discoverable, llms-full.txt / full agent docs, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented, programmatic credential creation, fast time to first request, copyable quickstart, structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution. 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. Paddle leads 83 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; Paddle misses search discoverable, public docs discoverable, llms-full.txt / full agent docs.

Understand is whether an agent can read the docs and work out how the API behaves before calling it. Paddle leads 83 to 23. Lago misses structured api reference, openapi / spec quality, pricing understandable, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; Paddle misses openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.

Adopt. Paddle leads 100 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; Paddle misses no mandatory sales call, programmatic credential creation, fast time to first request, copyable quickstart, official typescript sdk, official python sdk.

Operate. Paddle leads 67 to 41. Lago misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution; Paddle misses canonical workflow succeeds, structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution, agent compatibility verified.

Pricing

Lago does not publish a machine-readable starting price. Paddle does not publish one and has a free tier.

Signal by signal

Which to pick

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

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