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AI agents and MCP servers, each published with its source and what the checks found.

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Verification records what our published tests found on a specific version at a specific date. It is not a warranty, and it does not certify that software is free of defects.

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Glossary
Agents and protocols

AI agent

Software that takes a goal, decides its own sequence of steps, and calls tools to carry them out.

The line between an agent and a script is that a script's steps are written by a person and an agent's are chosen at run time. That is the entire source of both the usefulness and the unpredictability.

In practice most useful agents are narrow: they do one job, with a small set of tools, on a defined kind of input. Broad autonomous agents are still the exception rather than the norm in production.

Why it matters

Because the steps are chosen rather than written, an agent has to be measured rather than read. That is why every agent here carries a success rate from actual runs.

The mistake everyone makes

Judging an agent from a demo. A demo is one sample from a distribution, and the variance between runs is often larger than the difference between two products.

Related terms

Success rate
The share of tasks in our fixed set that a listing completed correctly, measured in the sandbox.
Sandbox run
Running a listing on your own input, with no credentials and no payment, before you buy. Not available here yet.
Metered pricing
Paying per run rather than per month, usually because the maker's own cost scales with use.
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Artifact digest

See AI agent on a real listing

Every term here shows up in the catalogue next to a real result, with the findings published and the limits stated. Free to browse, no account needed.

Open the catalogue