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Elfa AI: Iris

The intelligence stack for agents to research, trade & act

Developer Tools
Artificial Intelligence
Cryptocurrency
Visit WebsiteSee on Product Hunt

Hunted byCirce LimCirce Lim

AI agents make deductions without real context, running on stale data with no sense of what's happening in the market right now. Iris fixes that with Elfa's real-time signal layer: institution-grade intelligence built from social, on-chain, and market data, processing 5,000+ events per second across 300k+ sources. Agents can research any token instantly, then set automations tied to real-world triggers like a price move, a whale wallet, or a breaking headline, and act the moment the market does.

Top comment

Hi Product Hunt! 👋 Tristan here, cofounder of Elfa.

We built Elfa as a real-time market intelligence app used by tens of thousands of traders. As it grew, developers kept asking for the underlying APIs. Turned out their agents could reason and execute, but had no idea what was happening in markets right now without months of data & monitoring work.

So we’re launching Iris: a real-time markets intelligence API stack for AI agents.

With Iris, you can:

+ Monitor markets 24/7 and trigger workflows from events, news, and signals
+ Stream curated, cited insights from reputable sources
+ Ship a market-aware agent to users quickly via an embeddable widget

How to get started?

1. Send the Iris documentation to Claude or your own AI agent and watch it magically upgrade with real-time world awareness of financial markets.
2. Test Iris instantly via the Elfa app. Product Hunt users get 1,000 extra credits for a test drive.

Link in the first reply below.

I’ll be here all day to answer any questions you have. Brutal feedback is welcome!

Comment highlights

Excited to launch Iris, the intelligence stack that powers all of Elfa's capabilities, now available to businesses and agent builders through our API or our enterprise solutions.

Today's agents are capable of reasoning and synthesising information. However, they lack an awareness layer that brings real-world events and news into context in real time, enabling agents to understand and act on what's happening.

With Iris, agents no longer need to wait to be briefed or prompted about what's happening. They can ingest signals from our real-time intelligence layer and turn them into actions, such as triggering custom automations based on market events, news, or other conditions.

For users who want to experience Iris without building their own agent, you can access its capabilities directly through our flagship app, Elfa.

Try Elfa today with +1000 bonus credits: https://app.elfa.ai/?referralCode=producthunt

This is pretty cool, I was able to give my agents live data with and created some interesting notifications.

This is super cool. It's been a pain trying to ask claude to monitor the US-iran war situation and be notified whenever Trump tacos or escalates the situation. Glad to plug claude into this and get notified whenever it happens

About Elfa AI: Iris on Product Hunt

The intelligence stack for agents to research, trade & act

Elfa AI: Iris was submitted on Product Hunt and earned 12 upvotes and 5 comments, placing #35 on the daily leaderboard. AI agents make deductions without real context, running on stale data with no sense of what's happening in the market right now. Iris fixes that with Elfa's real-time signal layer: institution-grade intelligence built from social, on-chain, and market data, processing 5,000+ events per second across 300k+ sources. Agents can research any token instantly, then set automations tied to real-world triggers like a price move, a whale wallet, or a breaking headline, and act the moment the market does.

Elfa AI: Iris was featured in Developer Tools (517.5k followers), Artificial Intelligence (475.9k followers) and Cryptocurrency (5.6k followers) on Product Hunt. Together, these topics include over 195.1k products, making this a competitive space to launch in.

Who hunted Elfa AI: Iris?

Elfa AI: Iris was hunted by Circe Lim. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

Want to see how Elfa AI: Iris stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.