Aeonix | Six Month Review
- aeonix network
- 3 hours ago
- 4 min read

Aeonix AI v0.8
We developed our own AI model using a hybrid of LLM, SLM, and ML approaches, enabling a flexible range of agentic functions.
aeonix AI can process documents, search the internet, explore on-chain data, parse social trends, and interact with the aeonix ID system through a conversational interface. External APIs can also be connected to expand agent options.
DID, VC, and DLR are used throughout the agentic flow to ensure transparency and verifiable AI actions.
Crypto Search Engine Database
We built a crypto database containing more than 80,000 tokens across dozens of blockchains using data from on-chain explorers and aggregators. This database provides a trusted foundation of web3 data that aeonix AI can query and analyze.
ONIX Token Launch
The ONIX token was launched on February 28, 2025, using the Sustainable Token Economics (STE) framework.
Binance Smart Chain (BSC) was chosen for the ONIX token because of low fees, high-speed, ecosystem tool availability, and optimal liquidity pairing all within an EVM compatible blockchain.
Liquidity was locked for five years and the contract was verified.

Payments System & Compute Credits
We created a payments system and market price data network using aeonix explorer APIs. The system enables users to convert ONIX into universal platform compute credits at a fixed rate, independent of token price fluctuations.
Aeonix Explorer Pre-Alpha
The aeonix explorer was launched in pre-alpha featuring a vector-based search tool for the aeonix web3 database.
This search tool provides contextual searching instead of the common metatag search approach, giving users the ability to find tokens impossible to identify otherwise.
Verifiable AI Hackathon
Earlier this year we participated in the Verifiable AI Hackathon, hosted by Cheqd Network, Sprite+, and Verida. The event focused on demonstrating how AI agents can be made trustworthy and verifiable using DID:VC trust infrastructure.
Following the hackathon, Sprite+ & Cheqd published a paper on Verifiable AI Agents with positive human impact which featured the aeonix builds.

Aeonix ID
We developed a digital identity system for the aeonix ecosystem using Decentralized Identifiers (DID), Verifiable Credentials (VC), and DID-Linked Resources (DLR).
Each blockchain address can generate a unique DID that functions as its account ID. Once created, the aeonix ID enables users to earn and claim verified credential achievements, access additional platform features, and participate in community challenges.



Decentralized Model Training
To ensure aeonix AI continuously improves with high-quality human data, we built a system to verify accounts through social media and allow them to participate in decentralized model training.
Verified users can view DLR metadata in a search result to examine the exact source materials used. By submitting up or down votes, users contribute to increasing the accuracy of aeonix AI.


Verified Search Agent
To protect users and reduce exposure to scams, aeonix introduced Verified Search. This feature uses AI to display only projects with verified social channels, automatically filtering out most honeypots and inactive tokens.
Verified Search also utilizes DID:VC trust infrastructure to add transparent and verifiable metadata to aeonix agents, enabling anyone to see critical information about what the agent can do and where its data comes from.

Decentralized AI Agent Alliance (DAIAA)
We joined the DAIAA to support the development of standards and best practices for creating trustworthy, reliable, and verifiable AI agents. Our contributions are currently focused on agentic commerce and data ownership

In-App Trading
We added token trading functionality directly within the aeonix explorer, with transactions automatically routed through multiple decentralized exchanges (DEXs).

Q-Bot V1
We launched a community Telegram agent, Q-Bot, powered by a version of aeonix AI. Q-Bot was trained on project resources and configured with strict guidelines to answer only project-related questions. This demonstrated how aeonix AI can be used to deliver consistent, project-specific interactions.
Q-Bot received significant positive feedback, prompting an update which imported the webapp agent into a telegram bot. Q-Bot is currently available for free for any group, or can be direct messaged with the /qbot command at @QNTInfoBot.

Aeonix Explorer Dashboard
We released the first iteration of the explorer dashboard, a unified container for ecosystem data and personalized AI insights.
The dashboard serves as the primary interface into ecosystem data and provides a foundation for future widgets and tools.

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