Close vs Crisp
Close scores higher on the AgentReady, 74/100 against 50/100. They differ on 14 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.
What each one is
Close. Close is a sales CRM built for teams that sell, combining calling, email, SMS, pipeline management, reporting, and an AI sales agent named Chloe into a single platform.
Crisp. All-in-one omnichannel customer support platform with AI-powered features to augment customer experience and support teams
Where Close is ahead
Close passes llms.txt published, 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, openapi / spec quality, request examples provided, response examples provided and errors and status codes documented. Crisp misses those.
And on adopt, no mandatory sales call and programmatic credential creation. Crisp misses those.
Finally, on operate, machine-readable errors, rate-limit behavior predictable and agent compatibility verified. Crisp misses those.
Where Crisp is ahead
Crisp passes clear product positioning and public docs discoverable, and Close does not. That is discover, whether an agent can find the product at all without being told it exists.
It also holds adopt: official python sdk. Close misses it.
What neither does
Both fail llms-full.txt / full agent docs, mcp discoverable, authentication documented, fast time to first request, copyable quickstart, cli available, mcp integration available, retry behavior documented, idempotency support. 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. Crisp leads 73 to 53. Close misses clear product positioning, public docs discoverable, llms-full.txt / full agent docs, mcp discoverable; Crisp misses llms.txt published, llms-full.txt / full agent docs, mcp discoverable.
Understand is whether an agent can read the docs and work out how the API behaves before calling it. Close leads 92 to 31. Close misses authentication documented; Crisp misses structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented.
Adopt. Close leads 60 to 50. Close misses fast time to first request, copyable quickstart, official python sdk, cli available, mcp integration available; Crisp misses no mandatory sales call, programmatic credential creation, fast time to first request, copyable quickstart, cli available, mcp integration available.
Operate. Close leads 89 to 47. Close misses retry behavior documented, idempotency support; Crisp misses machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified.
Pricing
Close does not publish a machine-readable starting price and has a free tier. Crisp starts at $45/mo and has a free tier.
| Close plans | Crisp plans |
|---|---|
| - | Free $0/mo |
| - | Mini $45/mo |
| - | Essentials $95/mo |
| - | Plus $295/mo |
| - | Enterprise Custom |
Signal by signal
| Signal | Close | Crisp |
|---|---|---|
| AgentReady | 74 | 50 |
| Discovery | 53 | 73 |
| Understanding | 92 | 31 |
| Adoption | 60 | 50 |
| Operability | 89 | 47 |
| Public API | Yes | Yes |
| MCP server | Unknown | No |
| OpenAPI spec | Yes | Unknown |
| CLI | Unknown | Unknown |
| llms.txt | Yes | Unknown |
| Self-serve signup | Yes | Yes |
| Free tier | Yes | Yes |
Which to pick
Close clears more of the signals an agent needs, so it is the safer default for unattended use. Full profiles: Close and Crisp. Alternatives to each: Close, Crisp.
An agent can fetch this as data: POST /v1/compare {"slugs": ["close", "crisp"]}