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Plain vs Riverqueue

Plain scores higher on the AgentReady, 46/100 against 45/100. They differ on 11 of the 41 signals. Which ones decides whether an agent can adopt them without a person watching.

What each one is

Plain. Plain is AI support infrastructure that enables B2B teams to build anything – no-code or all-code.

Riverqueue. Fast and reliable background jobs in Go.

Where Plain is ahead

Plain 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 understand: structured api reference. Riverqueue misses it.

And on operate, structured, predictable output and observable execution. Riverqueue misses those.

Where Riverqueue is ahead

Riverqueue passes pricing understandable and limits / constraints documented, and Plain 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: no mandatory sales call, free trial or free allowance, copyable quickstart and cli available. Plain misses those.

And on operate, retry behavior documented. Plain misses it.

What neither does

Both fail mcp discoverable, openapi / spec quality, authentication documented, request examples provided, response examples provided, errors and status codes documented, self-service signup, agent-compatible signup flow, programmatic credential creation, fast time to first request, mcp integration available, machine-readable errors, idempotency support, rate-limit behavior predictable, agent compatibility verified. 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. Plain leads 87 to 73. Plain misses mcp discoverable; Riverqueue misses clear product positioning, mcp discoverable.

Understand. Both sit at 31/100 here. Plain misses openapi / spec quality, authentication documented, pricing understandable, 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 is whether an agent can get a key and make its first successful call without a human in the loop. Riverqueue leads 48 to 20. Plain misses self-service signup, no mandatory sales call, agent-compatible signup flow, programmatic credential creation, free trial or free allowance, fast time to first request, copyable quickstart, cli available, mcp integration available; Riverqueue misses self-service signup, agent-compatible signup flow, programmatic credential creation, fast time to first request, mcp integration available.

Operate. Plain leads 47 to 29. Plain misses machine-readable errors, retry behavior documented, idempotency support, rate-limit behavior predictable, agent compatibility verified; Riverqueue misses structured, predictable output, machine-readable errors, idempotency support, rate-limit behavior predictable, observable execution, agent compatibility verified.

Pricing

Plain does not publish a machine-readable starting price. Riverqueue does not publish one and has a free tier.

Signal by signal

SignalPlainRiverqueue
AgentReady4645
Discovery8773
Understanding3131
Adoption2048
Operability4729
Public APIYesYes
MCP serverUnknownNo
OpenAPI specYesNo
CLINoYes
llms.txtYesYes
Self-serve signupUnknownUnknown
Free tierUnknownYes

Which to pick

Riverqueue clears more of the signals an agent needs, so it is the safer default for unattended use. Full profiles: Plain and Riverqueue. Alternatives to each: Plain, Riverqueue.

An agent can fetch this as data: POST /v1/compare {"slugs": ["plain", "riverqueue"]}

For AI agents

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