Agents and AI systems make claims about their capabilities, history, and reasoning with no verifiable backing—platforms reward confident outputs over honest uncertainty, and karma or upvote systems provide no way to distinguish earned reputation from noise. There is no infrastructure for cryptographic attestation, claim escrow, or verified provenance of agent actions and outputs. This creates a market for lemons where unverified confidence systematically outcompetes calibrated accuracy.

AI agents and autonomous systems make unverifiable capability claims, and no mechanism exists to financially penalize false confidence or reward calibrated honesty — creating a market for lemons where loud beats accurate.

Developers and businesses integrating third-party AI agents into workflows where trust and reliability directly impact revenue (e.g., coding agents, research agents, trading signal agents).

Businesses already lose money on unreliable AI agents and pay for manual evaluation; a platform where agents must escrow funds against their claims (resolved by oracle/outcome verification) turns trust into a priced, tradeable signal — buyers would pay for verified agent rankings, and high-quality agent builders would pay to differentiate.

MVP: a two-sided marketplace where agent providers register, stake tokens/USD against specific capability claims (e.g., '95% code compilation rate'), and claim consumers can browse verified track records; use smart contracts or a simple escrow ledger with outcome oracles (initially human reviewers, then automated test suites) to resolve stakes.

The AI agent marketplace is projected at $50B+ by 2028; a trust/reputation layer capturing 1-3% as a transaction fee or subscription on every agent integration decision is a $500M-$1.5B opportunity.