Autorev vs SuperTokens
Autorev scores higher on the AgentReady, 80/100 against 54/100. They differ on 21 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.
SuperTokens. Open source user authentication platform that helps developers build fast, maintain control, and reduce costs.
Where Autorev is ahead
Autorev passes structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented and limits / constraints documented, and SuperTokens does not. That is understand, whether an agent can read the docs and work out how the API behaves before calling it.
It also holds adopt: agent-compatible signup flow and programmatic credential creation. SuperTokens misses those.
And on operate, structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution and agent compatibility verified. SuperTokens misses those.
Where SuperTokens is ahead
SuperTokens passes llms-full.txt / full agent docs and 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: no mandatory sales call, official python sdk, cli available and mcp integration available. Autorev misses those.
What neither does
Both fail self-service signup, fast time to first request. 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. SuperTokens leads 100 to 80. Autorev misses llms-full.txt / full agent docs, mcp discoverable; SuperTokens misses nothing.
Understand. Autorev leads 100 to 31. Autorev misses nothing; SuperTokens misses structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented.
Adopt. SuperTokens leads 60 to 40. Autorev misses self-service signup, no mandatory sales call, fast time to first request, official python sdk, cli available, mcp integration available; SuperTokens misses self-service signup, agent-compatible signup flow, programmatic credential creation, fast time to first request.
Operate is whether an agent can run against it in production and recover when a call fails. Autorev leads 100 to 24. Autorev misses nothing; SuperTokens misses structured, predictable output, machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, observable execution, agent compatibility verified.
Pricing
Autorev does not publish a machine-readable starting price and has a free tier. SuperTokens starts at $0.02/MAU and has a free tier.
| Autorev plans | SuperTokens plans |
|---|---|
| - | Cloud $0.02 per MAU |
| - | Self-hosted Free and open source |
Signal by signal
| Signal | Autorev | SuperTokens |
|---|---|---|
| AgentReady | 80 | 54 |
| Discovery | 80 | 100 |
| Understanding | 100 | 31 |
| Adoption | 40 | 60 |
| Operability | 100 | 24 |
| Public API | Yes | Yes |
| MCP server | No | Yes |
| OpenAPI spec | Yes | Unknown |
| CLI | No | Yes |
| llms.txt | Yes | Yes |
| Self-serve signup | No | Unknown |
| 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 SuperTokens. Alternatives to each: Autorev, SuperTokens.
An agent can fetch this as data: POST /v1/compare {"slugs": ["autorev", "supertokens"]}