Convex vs Upstash
Upstash scores higher on the AgentReady, 72/100 against 61/100. They differ on 6 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.
Upstash. Serverless data platform providing Redis, Vector database, messaging, workflow orchestration, and secure cloud containers for AI agents.
Where Convex is ahead
Convex passes agent-compatible signup flow, and Upstash does not. That is adopt, whether an agent can get a key and make its first successful call without a human in the loop.
Where Upstash is ahead
Upstash passes mcp discoverable, and Convex does not. That is discover, whether an agent can find the product at all without being told it exists.
It also holds understand: authentication documented and limits / constraints documented. Convex misses those.
And on adopt, mcp integration available. Convex misses it.
Finally, on operate, rate-limit behavior predictable. Convex misses it.
What neither does
Both fail structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented, programmatic credential creation, structured, predictable output, machine-readable errors, 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. Upstash leads 100 to 87. Convex misses mcp discoverable; Upstash misses nothing.
Understand is whether an agent can read the docs and work out how the API behaves before calling it. Upstash leads 38 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; Upstash misses structured api reference, openapi / spec quality, request examples provided, response examples provided, errors and status codes documented.
Adopt. Upstash leads 80 to 76. Convex misses programmatic credential creation, mcp integration available; Upstash misses agent-compatible signup flow, programmatic credential creation.
Operate. Upstash leads 71 to 59. Convex misses structured, predictable output, machine-readable errors, idempotency support, rate-limit behavior predictable; Upstash misses structured, predictable output, machine-readable errors, idempotency support.
Pricing
Convex starts at $0/mo and has a free tier. Upstash starts at $0/mo and has a free tier.
| Convex plans | Upstash plans |
|---|---|
| Free $0/month and pay as you go | Free $0 |
| Professional $25 per developer/month | Pay as you go $0.2 per 100K commands |
| - | Fixed 250MB $10/month |
| - | Fixed 1GB $10/month |
| - | Fixed 5GB $10/month |
| - | Fixed 10GB $10/month |
| - | Fixed 50GB $10/month |
| - | Fixed 100GB $10/month |
| - | Fixed 500GB $10/month |
| - | Enterprise Custom |
Signal by signal
| Signal | Convex | Upstash |
|---|---|---|
| AgentReady | 61 | 72 |
| Discovery | 87 | 100 |
| Understanding | 23 | 38 |
| Adoption | 76 | 80 |
| Operability | 59 | 71 |
| Public API | Yes | Yes |
| MCP server | No | Yes |
| OpenAPI spec | Unknown | Unknown |
| CLI | Yes | Yes |
| llms.txt | Yes | Yes |
| Self-serve signup | Yes | Yes |
| Free tier | Yes | Yes |
Which to pick
Upstash clears more of the signals an agent needs, so it is the safer default for unattended use. Full profiles: Convex and Upstash. Alternatives to each: Convex, Upstash.
An agent can fetch this as data: POST /v1/compare {"slugs": ["convex", "upstash"]}