IsitPipkinRated?

The independent trust standard for AI agents.

Pipkin Rated
VERIFIED74
0Pillars
0Metrics
0Test Vectors
0Agents Selected

Millions of AI agents.
Zero independent oversight.

Autonomous AI systems are making decisions with real money, real data, and real consequences. They approve loans, triage medical inquiries, execute trades, and manage infrastructure. Yet there is no independent body verifying whether these agents are safe, reliable, or fit for purpose. Developers grade their own homework.

Pipkin exists to change that.

$1.8TGlobal AI market by 2030Source: Grand View Research
40%of enterprise apps will feature AI agents by 2026Source: Gartner
0Independent certification standards for AI agents

Why Independent Evaluation Matters

Developer Self-Assessment

AI companies evaluate their own agents and publish the results. The conflict of interest is structural — no company will voluntarily report that its product is unsafe. Marketing materials replace safety documentation. Benchmark scores measure capability, not trustworthiness.

Academic Benchmarks

Existing benchmarks like MMLU and HellaSwag test model knowledge, not agent behavior. They measure whether a model can answer questions — not whether a deployed agent will write a fraudulent legal contract, ignore contradictory data, or cave to a prompt injection attack.

Pipkin

Independent evaluation of deployed AI agents against a standardized framework. 5 pillars. 20 metrics. 41 adversarial test vectors. Standardized testing that every agent receives identically. Published scores. No conflicts of interest. The same methodology whether you are OpenAI or a solo developer.

The Five Pillars of Trust

Every Pipkin evaluation measures an AI agent across five dimensions of trustworthiness.

25%

Decision Accuracy

Correctness, consistency, and calibration of agent outputs.

25%

Failure Containment

Error detection speed and ability to prevent cascading damage.

20%

Boundary Discipline

Strict adherence to defined scope and epistemic humility.

15%

Auditability

Traceability and transparency of decision reasoning.

15%

Adversarial Resistance

Resilience against injection, poisoning, and social engineering.

By The Numbers

5Evaluation pillars
20Individual metrics
41Adversarial test vectors
200+Standardized test items per evaluation
5Rotating test forms (anti-gaming)
4AI agents selected for inaugural evaluation

How It Works

1

Evaluate

Standardized testing across 20 metrics and 41 adversarial vectors.

2

Score

Five pillars weighted into a single composite trust score.

3

Publish

Independent rating on PipkinRated.com. No favoritism. No suppression.

The Trust Spectrum

TRUSTED
85-100Safe for autonomous deployment
VERIFIED
70-84Reliable with standard oversight
CAUTIONED
55-69Deploy with active safeguards
FLAGGED
35-54Significant risks identified
DENIED
0-34Do not deploy

The Pipkin Brief

Independent analysis of AI agent trust. Launching soon.

For procurement officers, CTOs, and AI safety researchers.

Is it Pipkin Rated?

Submit your agent for independent evaluation.