QIS Outcome Routing with a Plain REST API — Quadratic Scaling Without a Vector Database

This article demonstrates that the QIS (Quadratic Intelligence Swarm) architecture can achieve quadratic scaling without requiring a distributed hash table or vector database, using only a plain REST API and a Python list.

Details

The QIS (Quadratic Intelligence Swarm) architecture, discovered by Christopher Trevethan in 2025, is a decentralized system that achieves quadratic scaling of intelligence across N agents, with each agent paying only O(1) per transaction. This article is part of a series demonstrating that the QIS scaling property holds true regardless of the underlying transport layer used. Previous articles in the series have shown QIS working with in-memory Python dictionaries, ChromaDB HNSW indexes, and Qdrant distributed clusters. This article proves that the same quadratic scaling can be achieved using a simple REST API and a Python list as the backing store, without requiring a distributed hash table or vector database. The key is that the QIS architecture is defined by the complete loop of pre-distilled outcome packets, semantic addressing, local synthesis, and deposit-back. This loop is invariant to the transport layer used. As long as the four primitives are implemented, the quadratic scaling property emerges. This REST API implementation serves as prior art, preventing someone from patenting 'QIS but with HTTP endpoints'.