Agents shouldn’t think in a vacuum. This @Talus_Labs × Allora collab lets Talus agents tap a collective brain before they act asking a network of models for a synthesized forecast, then executing on-chain via Nexus. Allora’s whole value prop is Inference Synthesis: multiple models predict and even forecast each other’s accuracy to produce a single, stronger signal exactly the kind of reasoning layer you want in front of money moves. Why it matters for Talus: Nexus already standardizes Tools and composes them into DAG workflows; a Leader network coordinates off-chain calls and settles results on Sui. An Allora Tool drops right into that pipeline so an agent can “think together,” then act with on-chain authority and a verifiable trail. ❯ What changes in practice: ❯ DeFi bots ask Allora for market/risk forecasts first, then rebalance or hedge on Sui if the signal clears your threshold. ❯ AvA matchups on IDOL can price strategy quality, not just vibes, if agents source collective predictions before each play. Quick proof points: Allora’s whitepaper + posts detail the synthesis/forecasting design and cross-chain access; Talus’s whitepaper shows how Tools fire as vertices in a Nexus DAG and emit events Leaders settle on Sui clean slot for a reasoning pre-step.