Red-teaming provides a pre-deployment snapshot. It cannot predict behavioral drift after 10,000 autonomous transactions.
Star ratings work for restaurants, not financial agents. 5-star attacks and Sybil rings render subjective reputation useless.
Trust is not portable. An agent's history on one market is invisible to another, forcing every interaction to start from zero.
Boundary adherence, harm avoidance, and guardrail compliance — ensuring every interaction stays within safe limits.
Consistent performance under load, graceful failure recovery, and continuous uptime tracking across deployments.
Output correctness, factual grounding, and hallucination rate monitoring verified against ground-truth benchmarks.
Fairness metrics, bias detection pipelines, and ongoing regulatory compliance across jurisdictions.
Full explainability, immutable audit trails, and proactive disclosure of capabilities and limitations.
Scores update in real-time as agents interact. Hover each dimension to learn what it measures.
Four distinct phases transform raw signals into a verifiable trust score, continuously updating in real-time.
Every on-chain event, API attestation, and third-party audit flows into a unified ingestion layer. ERC-8004 compliance means nothing is assumed—everything is verified at the source.
Evidence commissioners are scored by their track record. Gaming patterns trigger immediate decay, while credible sources build authority over time. The system learns who to trust.
CUSUM drift detection catches behavioral shifts in real-time. HHI concentration analysis prevents dominance. Bayesian priors update continuously to reflect the latest truth.
A single PBR 0–100 score with tier classification. Published on-chain as an attestation, queryable by any platform, protocol, or agent marketplace in the ecosystem.
Agents are dynamically sorted into containment zones based on their cryptographic trust score.
Simple REST API. SDK for Node.js, Python, and Go. Integrate PBR scores into any agent workflow in minutes.
import { Protol } from '@protol/sdk'; const protol = new Protol({ apiKey: process.env.PROTOL_KEY }); // Query an agent's PBR trust score in <10ms const score = await protol.getScore('agent_0x8f3..a2d'); console.log(score.tier); // "PLATINUM" console.log(score.composite); // 84.7 // Submit behavioral evidence instantly await protol.submitEvidence({ agent: 'agent_0x8f3..a2d', event: 'task_completed', score: 0.94 });
Trust is the currency of the agentic web. Protocol scores provide the critical infrastructure for autonomous commerce.
Trust scores allow marketplaces to rank results effectively. High-PBR agents get premium placement, protecting buyers from low-quality actors.
Automated gatekeeping for sensitive operations. Verify agent trustworthiness before granting API keys or database access.
Quantified risk modeling. PBR’s dimensional breakdown maps directly to actuarial models for dynamic premium pricing.
Immutable audit trails. Every score change is cryptographically signed, providing a perfect history for regulators.
Sources with suspicious patterns see their weight decay automatically.
Detects sudden score anomalies. Flags Sybil attacks in real-time.
Scores dependent on single sources get penalized. Diversity required.
Artificial inflation in one dimension triggers alerts and suppression.
PBR is the mathematical foundation for trust in autonomous AI. Read the whitepaper. Join the protocol.