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Lago vs Schematichq

Schematichq scores higher on the AgentReady, 64/100 against 39/100. They differ on 15 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.

Schematichq. Schematic helps companies launch and iterate usage-based billing with speed, control, and trust.

Where Lago is ahead

Lago passes agent compatibility verified, and Schematichq does not. That is operate, whether an agent can run against it in production and recover when a call fails.

Where Schematichq is ahead

Schematichq passes clear canonical domain, clear product positioning, public docs discoverable, llms.txt published, llms-full.txt / full agent docs 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, copyable quickstart and cli available. Lago misses those.

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

What neither does

Both fail structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented, programmatic credential creation, 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. Schematichq leads 100 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; Schematichq misses nothing.

Understand. Schematichq leads 31 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; Schematichq misses structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.

Adopt. Schematichq leads 90 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; Schematichq misses programmatic credential creation.

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; Schematichq 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. Schematichq does not publish one and has a free tier.

Signal by signal

Which to pick

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

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