Affordable financial intelligence, for everyone.
Fenlyt turns financial research into an API you can pay for one question at a time.
Is this token safe? What does this wallet's history say? What's the market feeling right now? Fenlyt answers — grounded in live data, for cents, not a subscription.
See it in action
“What's the sentiment on ETH?”
ETH sentiment is mildly positive in the short term but negative over the week, inferred from price action.
Ask anything financial
Token safety, wallet reputation, market sentiment, or a quick asset brief — ask in plain language.
Fenlyt pays for the data
The agent pulls live market data, settles the micro-fee autonomously over x402, and grounds the answer in real numbers — no invented figures.
Get a research brief
A clear verdict up front, backed by the data that supports it — institutional-grade insight at retail-friendly prices.
Why Fenlyt, not a chatbot
Fenlyt isn't a chatbot with a finance skin. It's a financial research endpoint that guarantees every answer is grounded in live, structured market data — and settled autonomously as a pay-per-query service, not a subscription you forget you're paying for.
Why now
Financial intelligence is increasingly consumed by AI agents and applications rather than directly by humans. Subscription models create friction for occasional users, while autonomous micropayments make high-quality research economically accessible one query at a time. Fenlyt demonstrates that future.
What you're actually paying for
Ask Fenlyt about ETH today, and again next week — the answer changes, because the market did. You're not paying for an AI model; you're paying for freshness: live prices, live wallets, live news, live sentiment, re-fetched and re-synthesized every single time you ask. That's why it's priced per query instead of a flat subscription — the value resets with every question.
How settlement works
Fenlyt's treasury settles each query autonomously, standing in for what would be a user-linked spending account in production — demonstrating x402 settlement on Arc without interrupting the research experience with per-question approval friction.