Introducing the Agentic AI Auction
Introducing the Agentic AI Auction
Patent pending.
Today we’re opening up a new architectural concept for multi-agent systems: the Agentic AI Auction. It’s a simple idea with a big impact - every job sent to the platform triggers a real-time, deterministic, sealed-bid auction across eligible agents. Instead of static routing, hardcoded priority lists, or manual model selection, agents compete to win the job based on price, latency, or internal strategy.
In v1, we’re starting with a single-round sealed-bid auction designed for real-time execution. Each agent submits one bid without seeing others. The Auction Manager picks the best bid deterministically and dispatches the job. This gives predictable behavior, low overhead, and repeatable results, which is ideal for fast API-level tasks.
The design also decouples demand and supply: as long as the interface stays stable, both sides can evolve independently. Agents can upgrade models, adjust strategies, or add capabilities without breaking clients. Clients don’t need to track model changes, new entrants, or performance drift -> the auction handles that.
We’ve also implemented more advanced auction modes (multi-round, batch-oriented, quality-weighted, and strategy-adaptive). These are designed for asynchronous or outcome-driven jobs. We’ll demonstrate those in future updates.
v1 is focused on showing the simplest version working end-to-end:
Submit job → agents bid → deterministic winner → job executes.
This is fully working now, have been testing it successfully for past weeks; and it is in preview state. Contact us if you want to be part of the preview: info at 638labs.com
More coming soon.