Verifiable Attention Markets Come to Monad Through Brevis, Primus, and Trendle

Brevis is partnering with Primus and Trendle to bring end-to-end zero-knowledge verification to attention-based prediction markets on Monad. The collaboration combines Trendle’s attention-focused trading model, Primus’s zkTLS attestations for Web2 data authenticity, and Brevis’s Pico zkVM for verifiable computation. Together, they are building a market where every attention index calculation is cryptographically proven, from raw social data to on-chain settlement.

Prediction Markets Meet AttentionFi

Attention has emerged as a tradable asset as social mindshare becomes measurable and financialized. Platforms have already shown that engagement across social networks can be quantified, while prediction markets have demonstrated that crowds can efficiently price uncertain outcomes. Trendle sits at the intersection of these ideas, offering a perpetual-style prediction market on Monad where traders speculate directly on attention itself.

On Trendle, traders take positions on whether attention toward a specific topic will rise or fall. This is measured through an Attention Index that aggregates engagement signals from X, Reddit, and YouTube. Metrics such as repost activity, Reddit scores, view counts, and comment velocity are normalized, weighted over time, and compressed into a single “Dollar of Attention” value. The index updates continuously, allowing traders to go long when they believe attention is accelerating or short when they expect interest to fade, with leverage available and funding rates designed to discourage overcrowded narratives.

While the mechanics are intuitive, the real challenge lies in trust. When real capital depends on an attention index, traders must be confident that both the underlying data and the calculations are accurate.

The Trust Problem Behind Attention Indexes

Attention markets depend on data sourced from Web2 platforms that are not natively verifiable on-chain. Traditional oracle systems require users to trust that data has not been altered and that calculations have been performed honestly. Even with multiple data sources, the pipeline that collects, aggregates, and publishes the index can become a point of failure if it relies on centralized operators.

Trendle’s use of multiple platforms already raises the cost of manipulation, as gaming engagement across X, Reddit, and YouTube simultaneously is difficult and expensive. Still, data authenticity alone is not enough. Users also need assurance that the full process, from data ingestion to index computation, has not been tampered with.

This is where zero-knowledge technology reshapes what is possible.

zkTLS and Pico zkVM Create an End-to-End Verifiable Pipeline

The joint architecture designed by Brevis, Primus, and Trendle makes the entire attention index pipeline provable. Primus addresses the first challenge by using zkTLS to verify data origin. When Trendle retrieves engagement metrics from social platforms, Primus attestors witness the encrypted TLS sessions and generate zero-knowledge proofs that the data genuinely comes from X, Reddit, or YouTube. These proofs confirm authenticity without revealing sensitive information and travel alongside the data into the next stage.

Once the input data is verified, Brevis’s Pico zkVM executes Trendle’s attention index algorithm inside a zero-knowledge virtual machine. The computation produces both the index value and a compact proof showing that the result was calculated correctly from the attested data using the published logic. This proof can be efficiently verified on-chain, removing the need to trust the operator performing the calculation.

The final index and its proof are submitted to Trendle’s smart contracts on Monad, where the proof is verified before the index is used to settle market positions. From social data collection to financial settlement, every step is backed by cryptographic guarantees.

What Verifiable Attention Means for Markets

A cryptographically verified attention index fundamentally changes how attention-based markets can operate. Traders no longer need to rely on reputation or trust assumptions, as disputes over data accuracy or calculation correctness can be resolved mathematically. This level of assurance also turns the attention index into a reusable primitive, enabling other protocols to consume it as a trust-minimized signal for DeFi, governance, or content-driven applications.

The layered design significantly raises the cost of manipulation. An attacker would need to distort engagement across multiple platforms, defeat zkTLS attestations, and exploit flaws in zero-knowledge computation, all at once. Compared to traditional oracle models, this creates a far more robust defense against abuse.

Brevis Brings ZK Infrastructure to Monad

This partnership also marks Brevis’s expansion to Monad, adding another high-performance chain to its supported ecosystem. Monad’s parallel execution model is well suited for applications like Trendle that require frequent updates and rapid settlement. By bringing Pico zkVM and zkTLS integrations to Monad, Brevis aims to support developers building data-intensive, verifiable applications on the network.

Looking Ahead

The Brevis, Primus, and Trendle teams are actively working toward full integration. As AttentionFi continues to evolve, verifiability is likely to become a defining feature that separates durable platforms from those prone to manipulation and disputes. This collaboration sets a clear technical direction for the future of attention markets, where trust is replaced by cryptographic proof.