Dear RSS3 Community,

A new year has arrived, and it’s good to see you here with us.

From raw signals to structured information, this has always been long-term work. At RSS3, we continue to focus on one responsibility: providing the structured data backbone for the next generation of AI systems.

We begin the year the same way we’ve always moved forward, structuring information carefully, strengthening the foundation, and letting steady effort compound over time.

Most Important Metric

• Number of Requests: 404,591,369

RSS3 Highlights

1. Following the launch of AgentData, we continued hardening the underlying data pipelines to improve signal quality and consistency across sources. Recent work focused on reducing duplication, improving source attribution, and tightening event boundaries, ensuring streamed data remains stable and predictable as volume and diversity increase.
2. We refined request handling and coordination logic across the RSS3 Network to better support continuous, agent-driven workloads. These updates improve how real-time streams and structured queries are processed under load, helping maintain low latency and reliable delivery as usage shifts from periodic reads to always-on consumption.
3. Additional improvements were made to internal data mapping between information and value layers, clarifying how structured events propagate into ownership and activity related signals. This ongoing work reduces ambiguity for downstream integrations and supports more reliable reasoning for AI-assisted and autonomous systems.

Ecosystem Spotlight

1. Folo Desktop v1.2.6 is rolling out with several focused improvements:
   1. Optimized Stripe subscription management UI with a dynamic billing portal and clearer status indicators
   2. Updated AI SDK to v6.0.5 for improved stability
   3. Refreshed translation cache behavior on mode changes
2. Folo also shipped performance upgrades, including a significantly faster image proxy and support for the GPT-OSS 120B model, now available with limited-time credit pricing at roughly one-tenth of standard market rates.

Get Involved!

If you’re building AI agents or agent-driven systems that rely on structured, reliable information, RSS3 Network is designed to support production ready workflows.

• Work with machine-readable signals across on chain, social, and open web sources
• Reduce noise and assumptions in agent reasoning and decision loops
• Build systems that operate continuously with stable, predictable data

Developer documentation:

https://docs.rss3.io/guide/developer

If you’re already building with RSS3, we’d love to see what you’re working on. Let’s help the network evolve through scaling real usage and real feedback.

Some Comments

Messy data spread across different standards is something many of us run into when building AI systems. In practice, a lot of agents don’t fall short because of the model itself, but because the data they reason over is noisy, fragmented, and full of implicit assumptions.

That’s where much of our recent work at RSS3 has been going. We’ve been spending time structuring on-chain activity, social signals, and open-web content into stable, machine-readable information that agents can actually work with. Less noise. More precise context. Fewer assumptions. It’s often the difference between something that looks impressive in a demo and something that can run reliably in production.

If this is a problem you’re also thinking about, we invite you to explore the RSS3 Network with us and see how structured open information can make that work a little easier:)

Warmly,

Zoe and the RSS3 Foundation