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Crisp vs Make

Make scores higher on the AgentReady, 62/100 against 50/100. They differ on 12 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

Crisp. All-in-one omnichannel customer support platform with AI-powered features to augment customer experience and support teams

Make. Make is a visual AI automation platform that enables users to connect any app, data source, or AI model to build and manage automations and AI agents visually, in code, or via natural language prompts.

Where Crisp is ahead

Crisp passes clear canonical domain and clear product positioning, and Make does not. That is discover, whether an agent can find the product at all without being told it exists.

It also holds understand: limits / constraints documented. Make misses it.

And on adopt, agent-compatible signup flow. Make misses it.

Where Make is ahead

Make passes llms.txt published, llms-full.txt / full agent docs and mcp discoverable, and Crisp 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. Crisp misses it.

And on adopt, fast time to first request, copyable quickstart and mcp integration available. Crisp misses those.

Finally, on operate, agent compatibility verified. Crisp misses it.

What neither does

Both fail openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, no mandatory sales call, programmatic credential creation, cli available, 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. Make leads 80 to 73. Crisp misses llms.txt published, llms-full.txt / full agent docs, mcp discoverable; Make misses clear canonical domain, clear product positioning.

Understand. Make leads 38 to 31. Crisp misses structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented; Make misses openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.

Adopt. Make leads 65 to 50. Crisp misses no mandatory sales call, programmatic credential creation, fast time to first request, copyable quickstart, cli available, mcp integration available; Make misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation, cli available.

Operate is whether an agent can run against it in production and recover when a call fails. Make leads 65 to 47. Crisp misses machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified; Make misses machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable.

Pricing

Crisp starts at $45/mo and has a free tier. Make does not publish one and has a free tier.

Signal by signal

Which to pick

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

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