Network engineer behind TunnelMind unveiled a public reputation service that maps IPs, ASNs, domains and related entities. The system returns a JSON payload for any address, e.g., curl https://api.tunnelmind.ai/v1/check/1.1.1.1, letting security tools query trust scores on demand. All responses carry a cryptographic receipt that records the attestation tier used.

The API is open‑source, allowing developers to audit the protocol and integrate it into existing pipelines without licensing hurdles. By exposing a unified graph, TunnelMind aims to reduce reliance on fragmented black‑box services that dominate ad‑tech supply chains. Early adopters can test the endpoint and provide feedback on the unfinished radar view that maps threat sources.

Because each answer is signed, downstream agents can verify that the data originated from the claimed source, mitigating spoofing risks in automated defenses. The creator invites the community to suggest features that would make the service practical for real‑world deployments, signaling an intent to evolve beyond a hobby project into a shared internet‑trust layer.

The modest three‑point score on Hacker News reflects early curiosity rather than widespread adoption, but the tool fills a niche where advertisers and security teams need transparent, verifiable reputation data. As internet fraud grows, services like TunnelMind could become essential building blocks for automated risk scoring across CDN, DNS and ad‑exchange ecosystems.