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Lago vs Orb

Orb scores higher on the AgentReady, 49/100 against 39/100. They differ on 6 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.

Orb. Orb automates usage-based billing, streamlines pricing strategy, and gives best-in-class teams the tools they need to accelerate revenue growth.

Where Lago is ahead

Lago passes no mandatory sales call, and Orb does not. That is adopt, whether an agent can get a key and make its first successful call without a human in the loop.

Where Orb is ahead

Orb passes clear canonical domain, clear product positioning, 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: structured api reference. Lago misses it.

What neither does

Both fail public docs discoverable, llms.txt published, openapi / spec quality, pricing understandable, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented, self-service signup, agent-compatible signup flow, programmatic credential creation, free trial or free allowance, fast time to first request, copyable quickstart, cli available, 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 is whether an agent can find the product at all without being told it exists. Orb 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; Orb misses public docs discoverable, llms.txt published.

Understand. Orb leads 38 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; Orb misses openapi / spec quality, pricing understandable, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.

Adopt. Lago leads 45 to 35. 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; Orb misses self-service signup, no mandatory sales call, agent-compatible signup flow, programmatic credential creation, free trial or free allowance, fast time to first request, copyable quickstart, cli available.

Operate. Both sit at 41/100 here. Lago misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution; Orb misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution.

Pricing

Lago does not publish a machine-readable starting price. Orb does not publish one.

Signal by signal

Which to pick

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

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