Independent verification for AI agents and their value
av9n scores AI agents with a tamper-evident record, so you can show not just that work ran, but whether it was worth the cost. It is aimed at builders and teams that need auditable proof of value rather than basic observability.
Agenticness = how independently a tool can take action, scored across 9 dimensions. Scored independently by David Kooi, Skylark Creations — see full rubric →
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About
av9n is a verification and measurement layer for AI agents, not an agent itself. It is built for developers and enterprise teams that need to prove whether an agent produced net value after accounting for costs like tools, infrastructure, tokens, and human review time.
av9n is useful when you need an auditable, externally checkable record of what an agent did and what that work was worth. The strongest part of the product is its emphasis on tamper-evident evidence, counterfactual baselines, and cost-aware scoring....
Responds to prompts but takes no autonomous action.
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- Free: Developer tier at $0/month with 250 verified scores per month, full SDK and sealed ledger access, a health score plus four-question breakdown, directional grade only, and community support.
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