MarketplaceMedium Effortglobal

AgentScore — Trust & Reputation Layer for the AI Agent Economy

The AI agent economy is booming — $7.8B in 2025, projected $10.9B in 2026 — but it has a fundamental trust problem. When a business subscribes to an AI agent for customer support, lead qualification, or code generation, how do they know it works reliably? Current "agent reputation" scores on emergin

Score79/100
Mar 20, 2026
TAM
AI governance platforms market — $492M in 2026, >$1B by 2030 (Source: Gartner, February 2026). LLMOps market — $7.14B in 2026 (Source: einpresswire.com).
SAM
AI agent trust/reputation infrastructure — estimated 10-15% of agent marketplace transaction value as "trust tax." With $10.9B agent market, SAM ~$1-1.6B.
SOM
0.5% of SAM in year 2 = ~$5-8M. Realistic first-year: 200 paying agent builders × $150/month = $360K ARR.
AISaaSPortugalB2BMarketplaceAPI

The Problem

The AI agent economy is booming — $7.8B in 2025, projected $10.9B in 2026 — but it has a fundamental trust problem. When a business subscribes to an AI agent for customer support, lead qualification, or code generation, how do they know it works reliably? Current "agent reputation" scores on emerging marketplaces are gamed with fake reviews (Source: Reddit r/AI_Agents discussions). There's no standardized way to evaluate an agent's reliability, safety, accuracy, or compliance before deploying it.

This is the "pre-Yelp restaurant era" for AI agents. Businesses are spending money on agents that may hallucinate, leak data, or simply not perform. Agent builders can't prove their agents are trustworthy. Marketplaces can't differentiate quality from noise.

Ready to build this?

This idea scored 79/100. Get tomorrow's in your inbox, free, no account needed.

Free forever. One idea per day. Unsubscribe anytime.