Q3 at Elfa

Agents have been making decisions without the full picture. This quarter, more teams turned to Elfa to close that gap with real-time context.

Q3 saw new product launches, an all-time high in API usage with 4.3M+ requests, 30+ enterprise adoptions, and a growing network of builders building with Elfa.

Key Milestones

Q3 marked a major shift for Elfa. We doubled down on our proprietary data, launched Iris as our real-time intelligence stack, and made the strategic decision to remove Trade.

Removing Trade allowed us to concentrate our resources on the part of the product with the most potential: the data, signals, and context that sit behind market decisions.

The goal is straightforward: become the intelligence layer autonomous finance runs on.

That sharper focus also created more opportunities for teams to integrate Elfa directly into their own products and workflows.

From Data to Adoption

We crossed 30+ enterprise adoptions this quarter, onboarding protocols such as Pear Protocol and Aevo.

API usage also reached an all-time high for the 5th consecutive month, surpassing 4.3M+ requests.

These milestones reflect growing demand for real-time intelligence to be integrated directly into products, workflows, and autonomous systems.

Supporting Builders

At the same time, we continued finding more ways to support builders.

We grew our network of community partners, including providing exclusive perks to Superteam Black teams.

We sponsored $24,500 worth of Elfa credits across hackathons such as Solana Blitz v7 presented by Magic Block as well as Perpetual Alpha as part of ICAIF 2026, giving builders access to Elfa’s intelligence infrastructure as they experimented with new applications.

We also mentored builders at Startup Village Borneo organised by Superteam Malaysia.

Product Updates

On the product, we kept building on what Elfa is capable of and introduced a couple of feature improvements:

• —Better support for US equities markets beyond tradable tokenised equities.
• —Workspace: a persistent environment for research and workflows.
• —Automation Templates: new templates to build automations on.
• —Automation Canvas: turn automations into structured, editable workflows.
• —Triggers Suite: expanded list of trigger signals across market sentiments, derivatives, social and regulatory signals to make it easier to turn real-time events into automated actions, including Fear & Greed, funding rates, liquidations, Telegram activity, X follows and SEC updates.

What’s Next

Look forward to v3 endpoints, a new Explore experience to showcase our data, and more ways for developers and users to access Elfa’s real-time intelligence.

The next generation of autonomous finance will need more than raw data.

It will need intelligence that is real-time, contextually verified, and actionable.

We’re building that layer.

Join the Elfa community and stay in the loop on what’s next.