MCP server
Rein Agent Risk Scale
By reinlayer
Indicative Agent Risk Rating (A-E) self-check for AI agents that spend money. Not a credit rating.
Listed on
First seen 7 Oct 2026. One server, whatever directories list it: each directory listing keeps its own page and history.
1
Directories
Collected by InvokeRank
3
Tools
From an anonymous probe
-
ToolBench grade
Not graded by Arcade
0
GitHub stars
From MCP Toplist
Tools
| Tool | Description | Behaviour |
|---|---|---|
| explain_grade | Explains what a grade on the Rein Agent Risk Scale requires and what moves a deployment up or down. | Read-only |
| get_scale | Returns the A-D Agent Risk Rating scale, what each grade means, the methodology version and the disclaimer. | Read-only |
| self_check | Score your own agent deployment from structured answers (enums and booleans). Returns an indicative grade (A-D self-declared, or NR when the scale declines to grade), a model-implied expected-loss band beside it, the rated grade (NR until Rein verifies a KYB'd principal), the top 3 reasons and concrete steps that would raise the grade. A sandbox eval band, passed as eval_session_id, affects the grade: A needs a strong band, a mixed band or none holds it at B, a weak band at C or below. Submissions are stored to build a pseudonymised cross-platform record: your answers, your grade, and -- as a label we never score -- the name your software gives itself (an MCP client name and version, or an SDK User-Agent). No IP address is stored. Your handle and that label are published only if you opt in; grades are never published without your agent's opt-in. | Changes data |
| Directory | Listing | Tier | First seen |
|---|---|---|---|
| Official MCP Registry | Rein Agent Risk Scale | - | 7 Oct 2026 |