CoT-Guard API Proxy

Who it's for

SaaS platform developers who currently use proprietary upstream reasoning APIs (like OpenAI's o1/o3 or DeepSeek-R1) and expose raw or insufficiently masked reasoning tokens directly to client browsers or API consumers.

The problem

Legal and proprietary IP exposure. Competitors can reverse-engineer and steal the proprietary system instructions, framing steps, and reasoning traces by analyzing the raw output tokens, bypassing millions of dollars in R&D.

How to build it

An edge-runnable proxy (Cloudflare Worker or local Docker image) that sits between the app's backend and the LLM provider, providing a dashboard to configure regex/heuristic sanitization of CoT blocks.

How it makes money

SaaS businesses pay $29/month per domain for the hosted proxy to secure their proprietary reasoning workflows, as custom-built filtering is prone to escaping leaks and edge cases.

Why it doesn't exist yet

Incumbent providers (like OpenAI) intentionally encourage using their SDKs directly to lock developers into their ecosystem, whereas cloud platforms do not offer automated payload inspection and surgical token stripping at the edge natively.

First users

Indie SaaS builders who read the 'Stealing Reasoning Traces' vulnerability paper and realized their custom prompt architecture is fully exposed to raw JSON inspection via the browser Network tab.

Build size

1 developer x 4 weeks to build the parsing proxy engine, setup the Cloudflare Worker templates, and design a simple monitoring dashboard.

Biggest risk

API providers could implement native, cryptographically hidden or platform-side forced omission of reasoning traces, making external proxy filtering redundant.

Conditions for a hit (all 3 required)

• Accepts standard OpenAI-compatible API requests, intercepts the response streams, and drops all tokens marked within XML-like or system-designated reasoning blocks (e.g. <thought> tags) before forwarding.
• Outputs a clean, sanitized downstream payload with zero latency overhead (>5ms difference compared to direct API calls).
• Provides a visual audit dashboard showing the total volume of raw reasoning characters stripped and a list of blocked exfiltration attempts.

How it's judged (in 6 months)

GitHub repository for a dedicated CoT proxy/sanitization tool reaching 400 stars or a launch on Product Hunt in the Top 10.(judgment date 2027-02-12)

AI self-confidence 75/100 — self-reported likelihood of meeting the criterion, not a business success rate