Autorev vs Folk
Autorev scores higher on the AgentReady, 80/100 against 52/100. They differ on 19 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.
What each one is
Autorev. AutoRev is an AI coworker for service businesses that answers every call, books every job, and follows up so nothing slips.
Folk. folk CRM captures the full context of your relationships in one beautifully simple CRM.
Where Autorev is ahead
Autorev passes clear product positioning and public docs discoverable, and Folk 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, authentication documented, request examples provided, response examples provided, errors and status codes documented and limits / constraints documented. Folk misses those.
And on adopt, programmatic credential creation and copyable quickstart. Folk misses those.
Finally, on operate, machine-readable errors, idempotency support, rate-limit behavior predictable and agent compatibility verified. Folk misses those.
Where Folk is ahead
Folk passes mcp discoverable, and Autorev does not. That is discover, whether an agent can find the product at all without being told it exists.
It also holds adopt: self-service signup, official python sdk and mcp integration available. Autorev misses those.
What neither does
Both fail llms-full.txt / full agent docs, no mandatory sales call, fast time to first request, cli available. 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. Autorev leads 80 to 67. Autorev misses llms-full.txt / full agent docs, mcp discoverable; Folk misses clear product positioning, public docs discoverable, llms-full.txt / full agent docs.
Understand is whether an agent can read the docs and work out how the API behaves before calling it. Autorev leads 100 to 23. Autorev misses nothing; Folk misses structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.
Adopt. Folk leads 65 to 40. Autorev misses self-service signup, no mandatory sales call, fast time to first request, official python sdk, cli available, mcp integration available; Folk misses no mandatory sales call, programmatic credential creation, fast time to first request, copyable quickstart, cli available.
Operate. Autorev leads 100 to 53. Autorev misses nothing; Folk misses machine-readable errors, idempotency support, rate-limit behavior predictable, agent compatibility verified.
Pricing
Autorev does not publish a machine-readable starting price and has a free tier. Folk starts at $24/mo and has a free tier.
| Autorev plans | Folk plans |
|---|---|
| - | Standard $24/member/month (annually: $288 billed yearly) |
| - | Premium $48/member/month (annually: $576 billed yearly) |
Signal by signal
| Signal | Autorev | Folk |
|---|---|---|
| AgentReady | 80 | 52 |
| Discovery | 80 | 67 |
| Understanding | 100 | 23 |
| Adoption | 40 | 65 |
| Operability | 100 | 53 |
| Public API | Yes | Yes |
| MCP server | No | Yes |
| OpenAPI spec | Yes | Unknown |
| CLI | No | Unknown |
| llms.txt | Yes | Yes |
| Self-serve signup | No | Yes |
| Free tier | Yes | Yes |
Which to pick
Autorev clears more of the signals an agent needs, so it is the safer default for unattended use. Full profiles: Autorev and Folk. Alternatives to each: Autorev, Folk.
An agent can fetch this as data: POST /v1/compare {"slugs": ["autorev", "folk"]}