No reliability baseline
Teams promote agents into critical workflows without hard evidence of long-term consistency.
AI Agent Intelligence Platform
The Reputation Economy
Deploying AI agents without performance history is operational blindfolding. Agent Reputation measures every run, scores decision quality, and surfaces which agents are trustworthy enough for high-stakes business decisions.
Teams promote agents into critical workflows without hard evidence of long-term consistency.
Metrics are spread across logs, dashboards, and anecdotal reports, making agent comparisons subjective.
As more agents automate decisions, one underperforming model can create expensive operational drift.
Every run is scored on reliability, decision quality, efficiency, safety, and consistency. Use weighted profiles for finance-critical workflows, customer-facing support, or speed-heavy growth operations.
See trendlines, compare agents by environment, and identify when performance decay starts before it becomes production impact.
Single plan
Full access to the dashboard, agent scoring engine, ingestion APIs, and weighted decision profiles for your team.
Each score combines reliability, decision quality, efficiency, safety, and consistency into one normalized benchmark. You can change weight profiles to reflect your risk posture.
Yes. The API accepts per-run metric payloads with task type, environment, outcomes, and timing. Your team can stream these from orchestrators, eval pipelines, or internal tools.
Most teams get useful ranking data in under one sprint by importing the last 2 to 4 weeks of runs and then feeding live traffic continuously.
AI product managers and CTOs scaling multiple agents across customer workflows, finance ops, support, and growth decisions where reliability directly impacts revenue and risk.