Autorev vs Inngest
Autorev scores higher on the AgentReady, 80/100 against 61/100. They differ on 20 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.
Inngest. Inngest is an event-driven durable execution platform that allows developers to run fast, reliable code on any platform without managing queues, infrastructure, or state.
Where Autorev is ahead
Autorev passes search discoverable, and Inngest does not. That is discover, whether an agent can find the product at all without being told it exists.
It also holds understand: openapi / spec quality, authentication documented, request examples provided, response examples provided and errors and status codes documented. Inngest misses those.
And on adopt, agent-compatible signup flow and programmatic credential creation. Inngest misses those.
Finally, on operate, structured, predictable output, machine-readable errors, retry behavior documented, rate-limit behavior predictable and agent compatibility verified. Inngest misses those.
Where Inngest is ahead
Inngest 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: self-service signup, fast time to first request, official python sdk, cli available and mcp integration available. Autorev misses those.
What neither does
Both fail no mandatory sales call. 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. Inngest leads 87 to 80. Autorev misses llms-full.txt / full agent docs, mcp discoverable; Inngest misses search discoverable.
Understand. Autorev leads 100 to 46. Autorev misses nothing; Inngest misses openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented.
Adopt. Inngest leads 70 to 40. Autorev misses self-service signup, no mandatory sales call, fast time to first request, official python sdk, cli available, mcp integration available; Inngest misses no mandatory sales call, agent-compatible signup flow, programmatic credential creation.
Operate is whether an agent can run against it in production and recover when a call fails. Autorev leads 100 to 41. Autorev misses nothing; Inngest misses structured, predictable output, machine-readable errors, retry behavior documented, rate-limit behavior predictable, agent compatibility verified.
Pricing
Autorev does not publish a machine-readable starting price and has a free tier. Inngest starts at $99/mo and has a free tier.
| Autorev plans | Inngest plans |
|---|---|
| - | Hobby $0/mo |
| - | Pro $99/mo |
| - | Enterprise Custom |
Signal by signal
| Signal | Autorev | Inngest |
|---|---|---|
| AgentReady | 80 | 61 |
| Discovery | 80 | 87 |
| Understanding | 100 | 46 |
| Adoption | 40 | 70 |
| Operability | 100 | 41 |
| Public API | Yes | Yes |
| MCP server | No | Yes |
| OpenAPI spec | Yes | Yes |
| CLI | No | Yes |
| 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 Inngest. Alternatives to each: Autorev, Inngest.
An agent can fetch this as data: POST /v1/compare {"slugs": ["autorev", "inngest"]}