PHANTOM/docs/src/business.md

Business overview

PHANTOM targets platform operators and researchers who need to:

1. Observe session-level behavior and price quotes together (trajectories and policies—not just clicks).
2. Separate human-driven demand signals from agent-mediated reconnaissance where possible (distinguishability and contamination \alpha in the thesis).
3. Evaluate pricing policies that remain useful when Cost of Information (COI) is under pressure from automated querying (formal COI framework and theorem in the thesis PDF).

What this product is not

• A drop-in fraud API that returns “bot score” for every request without your event schema.
• A certified compliance guarantee for regulated pricing: it is a research stack with configurable experiments.
• A hosted SaaS: you run the stack (or adapt components) under your infrastructure policy.

Self-service story (ideal path)

A team connects their catalog (today: Supabase-backed flows in this repo), streams interaction events through the ingest path, runs labeled or weak-labeled human vs agent sessions, estimates behavioral kernels, varies contamination in simulation, and trains or benchmarks robust policies via engine/. Steps and caveats are in Setup (same content as root SETUP.md).

Thesis link

Problem statement, contributions, and research questions: Introduction and abstract in the thesis PDF.