CAIN-42 · Test & grade your AI

AgentScore

A plain-English safety scorecard for an agent, plus a real jailbreak test, no code needed.

Last reviewed 2026-10-01

Live   MCPGate gates · MCPGate

What it is

Plain-English safety checks for AI agents, no code required: a 12-question Guardian Agent scorecard plus a real jailbreak test run against your model's own API.

Where it fits

Part of Test & grade your AI: Score agents, attack them safely, check AI-written code and answers. Every CAIN-42 product runs behind the same rule: an AI agent's action is checked before it runs (identity, authority, policy, risk), decided as allow, hold for a human, or block, and recorded as signed evidence. Unknown or error never becomes allow.

Use it

• Open it https://agentscore.mcpgate.online
• Documentation https://agentscore.mcpgate.online/docs
• MCP endpoint https://agentscore.mcpgate.online/mcp

Live now

Checked from your browser when this page opened, not from a cached list.

Fire a real decision

Send an action through the live CAIN-42 pipeline from this page, with no account, and watch every stage decide. This is the same pipeline every product here sits behind; it runs for a throwaway demo tenant and is rate limited.

For AI engineers

Every product sits behind one decision path: your agent proposes an action with the exact arguments, CAIN runs it through identity, authority, policy, risk, trust and quorum consensus, and answers ALLOW, REQUIRE_APPROVAL or DENY with an Ed25519-signed record. A timeout, outage or unknown verdict never becomes ALLOW. A brand-new agent has no trust history, so its first actions usually come back REQUIRE_APPROVAL.

Python (zero dependencies)

pip install https://cainstudio.online/cainstudio-0.3.0-py3-none-any.whl
export CAIN_API_KEY=...   # free key: https://cainstudio.online/signup

import cainstudio

@cainstudio.guard()
def transfer(amount_usd: float, to: str) -> str:
    ...  # runs only if CAIN allows this call, with these arguments

try:
    transfer(5000, "acme")
except cainstudio.ApprovalRequired as e:
    print("held for a human:", e.approval_id)
except cainstudio.ActionBlocked as e:
    print("refused:", e.decision.reasons)
except cainstudio.CainUnavailable:
    print("CAIN unreachable: not run")   # fail-closed

See a real decision with no account

cainstudio try          # live pipeline, stage by stage
cainstudio try --list   # the other attack scenarios

MCP clients (Claude Code, Cursor)

claude mcp add --transport http cain https://cainstudio.online/mcp

More: Python SDK · TypeScript SDK · framework integrations · AI quickstart · decision signing key

Tested guarantees in this area

Every rule in these niches has its own page with its recorded result.

• Attacks, threats & containment: 418 tested invariants — What happens when someone attacks: it is caught and contained.
• Benchmarks, coverage & performance: 1269 tested invariants — How fast it runs and how much was tested.

Related

• Agent discovery & red team — Finds the agents in your code and attacks your own rules, before someone else does.
• CAIN Eval — Benchmarks your agents so you can compare versions before you ship them.
• Citegate — Checks that an AI answer actually cites real, complete sources.
• Fairgate — Measures whether an AI system treats groups of people unfairly.
• Liftgate — Tells you whether an AI experiment's improvement is real or just luck.
• ProbeGate — Attacks your own MCP endpoints with known jailbreaks to see what gets through.
• Verifygate — Grades AI-written code honestly: proved, tested, checked, or unknown.