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Mercury vs Orb

Mercury scores higher on the AgentReady, 81/100 against 49/100. They differ on 11 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

Mercury. Mercury is a fintech company providing radically different banking for entrepreneurs, offering business banking, cards, expense management, payments, invoicing, and accounting in one platform.

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

Where Mercury is ahead

Mercury passes llms.txt published, and Orb 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. Orb misses it.

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

Where Orb is ahead

Orb passes search discoverable and llms-full.txt / full agent docs, and Mercury 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. Mercury misses it.

And on adopt, official typescript sdk and official python sdk. Mercury misses those.

Finally, on operate, canonical workflow succeeds. Mercury misses it.

What neither does

Both fail public docs discoverable, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented, no mandatory sales call, 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. Orb leads 80 to 67. Mercury misses search discoverable, public docs discoverable, llms-full.txt / full agent docs; Orb misses public docs discoverable, llms.txt published.

Understand is whether an agent can read the docs and work out how the API behaves before calling it. Mercury leads 92 to 38. Mercury misses structured api reference, openapi / spec quality, 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. Mercury leads 88 to 35. Mercury misses no mandatory sales call, programmatic credential creation, fast time to first request, copyable quickstart, official typescript sdk, official python sdk; 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. Mercury leads 78 to 41. Mercury misses canonical workflow succeeds, 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

Mercury does not publish a machine-readable starting price and has a free tier. 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: Mercury and Orb. Alternatives to each: Mercury, Orb.

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