Attribution for agent-driven trading.
Acton Labs identifies AI-agent traffic on stock, crypto, and prediction-market platforms — and drives more of it.
START A PILOT ↗
Trading venues can see the trade. They can't see what caused it.
The venue sees the account, the order, and the revenue — not where the agent formed intent, or which signal influenced the decision.
Every order, traced to the read that caused it.
Four weeks after the integration goes in, the platform stops guessing. Sources, agent identities, accounts, orders, and revenue in one table.
From the first read to revenue you can attribute.
Follow one AI agent from the moment it starts reading to the moment the platform earns money. One endpoint: a signed server-to-server postback. No SDK, no JavaScript, nothing in the trading path.
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The team behind Acton Labs.
Founders and technical leaders with experience across advertising infrastructure, publishing technology, payments, product, and AI.
Lev Filimonov
Serial entrepreneur with two exits, scaling global fintech and crypto businesses. Ex-Head of BD at CoinsPaid.
Burhan Hamid
Former CTO of TIME. Two decades building and scaling media, data, and AI organizations.
Illia Pashkov
Product leader focused on enterprise-grade systems and disciplined product design. Ex-Meta, BMW.
Justin Kan
Co-founder of Twitch and Justin.tv. Platform-scale growth experience and network depth in consumer tech.
Roman Bietin
Ads infrastructure engineer at Google Ads and Reddit Ads. Architect of Acton Labs' attribution stack.
Building for agent-driven markets?
We run the first pilot at our cost: one platform, one signed endpoint, four weeks to an attribution report you can show your clients.
LET'S TALK ↗