Convex vs Riverqueue
Convex scores higher on the AgentReady, 61/100 against 45/100. They differ on 7 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.
What each one is
Convex. The reactive backend platform that keeps up with you and your agents.
Riverqueue. Fast and reliable background jobs in Go.
Where Convex is ahead
Convex passes clear product positioning, and Riverqueue 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, agent-compatible signup flow and fast time to first request. Riverqueue misses those.
And on operate, observable execution and agent compatibility verified. Riverqueue misses those.
Where Riverqueue is ahead
Riverqueue passes limits / constraints documented, and Convex does not. That is understand, whether an agent can read the docs and work out how the API behaves before calling it.
What neither does
Both fail mcp discoverable, structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, programmatic credential creation, mcp integration available, structured, predictable output, machine-readable errors, 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. Convex leads 87 to 73. Convex misses mcp discoverable; Riverqueue misses clear product positioning, mcp discoverable.
Understand. Riverqueue leads 31 to 23. Convex misses structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, limits / constraints documented; Riverqueue misses structured api reference, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented.
Adopt. Convex leads 76 to 48. Convex misses programmatic credential creation, mcp integration available; Riverqueue misses self-service signup, agent-compatible signup flow, programmatic credential creation, fast time to first request, mcp integration available.
Operate is whether an agent can run against it in production and recover when a call fails. Convex leads 59 to 29. Convex misses structured, predictable output, machine-readable errors, idempotency support, rate-limit behavior predictable; Riverqueue misses structured, predictable output, machine-readable errors, idempotency support, rate-limit behavior predictable, observable execution, agent compatibility verified.
Pricing
Convex starts at $0/mo and has a free tier. Riverqueue does not publish one and has a free tier.
| Convex plans | Riverqueue plans |
|---|---|
| Free $0/month and pay as you go | - |
| Professional $25 per developer/month | - |
Signal by signal
| Signal | Convex | Riverqueue |
|---|---|---|
| AgentReady | 61 | 45 |
| Discovery | 87 | 73 |
| Understanding | 23 | 31 |
| Adoption | 76 | 48 |
| Operability | 59 | 29 |
| Public API | Yes | Yes |
| MCP server | No | No |
| OpenAPI spec | Unknown | No |
| CLI | Yes | Yes |
| llms.txt | Yes | Yes |
| Self-serve signup | Yes | Unknown |
| Free tier | Yes | Yes |
Which to pick
Convex clears more of the signals an agent needs, so it is the safer default for unattended use. Full profiles: Convex and Riverqueue. Alternatives to each: Convex, Riverqueue.
An agent can fetch this as data: POST /v1/compare {"slugs": ["convex", "riverqueue"]}