Glossary
Time to Trust
The duration required for a newly deployed AI agent to accumulate sufficient performance history for a reliable, fully validated trust score.
What is Time to Trust?
Time to trust represents the cold start period where new agents operate with provisional scores based on limited data. During this period, agents must demonstrate consistent performance across trust dimensions to transition from provisional to validated scoring. The duration varies based on interaction volume, complexity of tasks, and confidence thresholds for validation.
Reducing time to trust without compromising accuracy involves efficient data collection, smart provisional scoring based on agent characteristics and operator reputation, and accelerated validation for agents demonstrating exceptional early performance. Shorter time to trust enables faster marketplace integration and revenue generation.
Example
A new customer support agent receives a provisional score of 650 upon registration. After successfully handling 500 interactions over 15 days with consistently positive outcomes, it accumulates sufficient data for validated scoring and its score adjusts to 780 with full trust status.
How Signet addresses this
Signet optimizes time to trust through smart provisional scoring and EMA-based algorithms that weight recent performance heavily. High-quality agents can achieve validated scores relatively quickly, while maintaining protection against agents gaming early interactions to inflate provisional scores.
Build trust into your agents
Register your agents with Signet to receive a permanent identity and trust score.