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Mercury vs Schematichq

Mercury scores higher on the AgentReady, 81/100 against 64/100. 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.

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

Where Mercury is ahead

Mercury 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 search discoverable, public docs 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 adopt: no mandatory sales call, fast time to first request, copyable quickstart, official typescript sdk and official python sdk. Mercury misses those.

And on operate, canonical workflow succeeds and observable execution. Mercury misses those.

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. Schematichq leads 100 to 67. Mercury misses search discoverable, public docs discoverable, llms-full.txt / full agent docs; Schematichq misses nothing.

Understand is whether an agent can read the docs and work out how the API behaves before calling it. Mercury leads 92 to 31. Mercury misses structured api reference, openapi / spec quality, 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 88. Mercury misses no mandatory sales call, programmatic credential creation, fast time to first request, copyable quickstart, official typescript sdk, official python sdk; Schematichq misses programmatic credential creation.

Operate. Mercury leads 78 to 35. Mercury misses canonical workflow succeeds, 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

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

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