drm3.io

What It Is

DRM3 Labs is a U.S.-based data protocol and infrastructure company built around the core idea of “data with receipts”: generating Ed25519 cryptographic receipts instantly at every step of data crawling, scanning, processing, AI analysis, model calls, and final output. It is not a single tool, but a product stack for verifiable data supply chains, including Provenance SDK, World News RAG, Open Signals, Connor, RunsWith, Pistachio, Cashew, and planned products such as Synapse, Avatar, DRM3 Office, and Consumer Pass.

Core Capabilities

Its most valuable capability is embedding provenance directly into data and AI workflows, rather than relying on after-the-fact logs. World News RAG covers 5,500+ RSS sources and 35+ languages, providing source attribution and structured analysis fields for articles. Connor and RunsWith focus on DNS, TLS, WHOIS, HTTPS telemetry, and infrastructure fingerprinting. Open Signals ingests 19 categories of public data sources. Pistachio connects to the Morpheus network to provide peer-to-peer AI inference without intermediaries, while remaining compatible with OpenAI- and Anthropic-style local APIs. Provenance SDK supports Rust, TypeScript, Python, Go, C, and browsers, making it suitable for integration into existing agents or data pipelines.

Pricing and Maturity

The materials indicate that all products are in Public Alpha, with an explicit “no warranty, use at your own risk” disclaimer. Pistachio costs around $5-8 per month in container fees, plus MOR staking and a small amount of ETH gas on Base. Consumer Pass is planned to use Base ERC-721 NFTs for tiered access. Beyond that, enterprise pricing, SLAs, support packages, and API billing details have not been disclosed.

Pros and Cons

The strengths are its clear technical direction: signed receipts, chained traceability, Merkle rollups, and third-party verification, all of which align well with needs around AI auditing, data authorization, and EU AI Act transparency. Its products also form an ecosystem spanning data, agents, inference, and telemetry. The drawbacks are that the product line is relatively complex, many modules are still in Alpha or In Progress, and while the documentation explains concepts and methods, it lacks complete API references, permission workflows, and production-grade commitments. Blockchain, wallets, MOR staking, and related mechanisms may also raise the adoption barrier for traditional teams.

Who It’s For and Access from China

It is suitable for AI agent vendors, data engineering teams, security and infrastructure researchers, news and market intelligence teams, and organizations that need to prove to customers or regulators “where the data came from” and “what the model did.” Access from mainland China is not specified in the materials. Since it involves Morpheus, Base, GitHub, and external APIs, actual network and payment availability should be tested. Alternatives can be chosen by use case, including Censys, Shodan, SecurityTrails, OpenAI/Anthropic API, or self-built RAG and audit-chain systems.