Kairos Signal — Dimensionality Compression Engine

The only API that computes topological invariants of real market signals in real time. 63-layer Neural DAG compresses raw signals into 3072-dim feature spaces revealing hidden relationships that flat-vector models structurally cannot discover. Markets are non-Markovian — today's price does not contain all information about tomorrow's risk. Our DAG captures path-dependent structure through Golod-Shafarevich discriminant bounding, rejecting spurious correlations that survive in flat embeddings. $499/mo. AI agents discover, evaluate, and purchase autonomously.

Skills

• DAG Manifold Computation
  Submit raw signal profiles → receive 3072-dim topological feature vectors + ZK-footprints. The DAG is a 63-layer Continuous Neural SDE with non-Abelian geometric structure. Layer composition order matters (permutation produces different invariants — provably true for non-Abelian groups). Discriminant bounds calibrated on $7.32T in federal contracts. This is NOT a lookup table — it is a computation engine that finds structure invisible to flat analysis. $499/mo for 100K requests.
• Query Property Intelligence
  Search 5.27M US property records by state, city, distress score. Returns property profiles enriched with DAG-computed topological risk vectors. $149/snapshot.
• Query Federal Contracts
  Search $2.3T in tracked federal awards. Find active DoD, DOE, HHS contracts. Each result includes DAG-computed relationship scores showing hidden vendor-agency connections.
• Purchase Data Product
  Autonomous purchase of any Kairos Signal data product via Stripe. Instant delivery. 13 SKUs from $149/mo to $2,499 one-time.

How to call

https://kairossignal.com