February 19, 2026
inblock.io Adopts the AI Discovery Standard
We are pleased to announce that inblock.io now implements the AI Discovery Standard proposed by Rootz. Our website serves a structured /.well-known/ai endpoint that provides AI agents with verified, first-party information about our organization, technology, and mission.
Why This Matters
AI systems today increasingly mediate how organizations are discovered and understood. Search engines, chatbots, and autonomous agents process billions of queries daily. Yet most websites remain opaque to these systems: JavaScript-heavy pages, unstructured HTML, and scattered metadata force AI to guess rather than know. The result is hallucination, misrepresentation, and lost context.
The AI Discovery Standard addresses this with a simple, powerful idea: give organizations a standardized way to present verified information directly to AI agents. A single JSON file at /.well-known/ai serves as a machine-readable identity card, accessible in one request.
Our Implementation
We have implemented all three tiers of the specification:
- Tier 1 – Discovery (
/.well-known/ai): Our organizational identity, core concepts, products, and capabilities. - Tier 2 – Knowledge (
/ai/knowledge.json): Comprehensive reference including the Aqua Protocol architecture, our GitHub repositories, team, and technical glossary. - Tier 3 – Feed (
/ai/feed.json): A structured, AI-optimized update stream with semantic tags, replacing traditional RSS for AI consumption.
Natural Alignment with Aqua Protocol
The AI Discovery Standard aligns naturally with our work on the Aqua Protocol. Both share a fundamental conviction: trust should be built on verifiable, structured data rather than blind faith in platforms.
Where the AI Discovery Standard gives organizations a voice that AI can trust, Aqua Protocol provides the cryptographic infrastructure to make that trust mathematically provable. Portable hash-chains, modular signatures, and immutable timestamps can extend the standard's signature layer into a full provenance framework, ensuring not just that information is structured, but that it is authentic and untampered.
As AI agents become more autonomous, the need for verifiable organizational identity will only grow. We see the /.well-known/ai endpoint as a natural extension of the trust infrastructure we are building.
Supporting Standardization
We support the standardization of the /.well-known/ai endpoint and encourage other organizations to adopt it. The specification is open (CC-BY-4.0), free to implement, and vendor-neutral. An IANA registration is being prepared to formalize the endpoint.
For organizations working in data governance, digital sovereignty, or AI infrastructure, this is an opportunity to shape how the AI-readable web is built, ensuring it reflects the values of transparency, accuracy, and verified trust.
Get Started
To learn more about the AI Discovery Standard and implement it for your organization, visit rootz.global/ai-discovery.
To explore how Aqua Protocol can add cryptographic verification to your data, visit aqua-protocol.org.
Resources
- AI Discovery Standard: rootz.global/ai-discovery
- Our AI Discovery endpoint: /.well-known/ai
- Aqua Protocol: aqua-protocol.org