Original | Odaily (@OdailyChina)
Author | Nanzi (@Assassin_Malvo)
Over the past three months, the AI concept mainline has gradually transformed from AI Meme to actual applications such as AI Agent, development frameworks, and landing tools. In the previous two articles, we screened a batch of tokens based on factors such as "market capitalization of tens of millions", "basic lack of coverage by Chinese media", and "project or token launch less than two weeks", with the aim of exploring medium-term growth opportunities, and also saw some projects achieve certain results.
In this article, we will continue to follow these factors and interpret a batch of new AI projects to help readers understand their background stories and development directions. The status of all tokens in the first three periods is shown in the following table:
(Recommended reading: ARC Reaches a Market Cap of 30 Million, Understand the Narrative of New AI Tokens in One Article, New Coins Cool Down, Are There Investment Opportunities at Level 1.5? Understand the Complete Narrative of AI Tokens with Market Capitalization of Tens of Millions)
SwarmNode.ai (SNAI)
Fundamentals
Established in 12/21, with a peak market capitalization of $55 million and a current market capitalization of $43 million.
AI Narrative
SwarmNode.ai (SNAI) was created to simplify the deployment of AI Agents. Its core advantage lies in the use of a serverless architecture, relieving users of the burden of managing server infrastructure, such as renting servers, installing complex dependencies, and worrying about server downtime. Users only need to focus on writing (AI Agent) Python scripts, and SNAI will automatically handle the subsequent matters, including resource allocation, database management, and a flexible billing model based on actual runtime.
Future Roadmap
Data Storage: Allow AI Agents to share access to cloud-based micro-databases;
Scheduled Execution: Allow AI Agents to be activated during specific time periods (e.g., only at night);
AI Agent Library: Similar to an AI Agent marketplace, allowing users to customize and develop in a modular fashion.
neur
Fundamentals
Established in 12/24, with a peak market capitalization of $45 million and a current market capitalization of $40 million.
AI Narrative
neur is similar to GRIFFAIN (currently no apparent differences have been observed), supporting users to use natural language commands to interact with AI for DeFi, Non-Fungible Token, and other Solana blockchain operations, while also having the ability to update information. The official listed functions include "getting the latest updates on the Phantom wallet", "issuing a token", "what is Toly doing", "exchanging 1 SOL for USDC", etc.
AlphaArc (alpha)
Fundamentals
Established in 12/22, with a peak market capitalization of $30 million and a current market capitalization of $26 million.
AI Narrative
AlphaArc translates blockchain language into data that AI can understand. The following is the original text from the official document: "AlphaArc is a platform for running data-driven AI agents. OpenAI and other institutions have only used Web2 data to train their models. Our goal is to bridge this gap. Our indexers and transformers will analyze transactions, patterns, and market dynamics to provide clear, actionable information for large language models and humans."
AlphaArc has also launched an AI Cat Cafe (@CatCafe4k) running on the X platform, which will report on popular tokens and their AI ratings every hour, but the token information is relatively basic, including price fluctuations, liquidity, and user holdings.
yesnoerror (YNE)
Fundamentals
Established in 12/20, with a peak market capitalization of $48 million and a current market capitalization of $30 million.
AI Narrative
The official claims it is "a DeSci AI Agent driven by OpenAI's o1 model, used to analyze mathematical errors and discrepancies in scientific papers." The document states that in October this year, a peer-reviewed research report claimed that black plastic kitchen utensils were toxic, causing widespread panic and media coverage, but in fact, it was due to a calculation error that overstated the toxicity by 10 times, and OpenAI's o1 model identified this serious error in just 30 seconds, at a cost of $0.30.
Therefore, yesnoerror (YNE) will use blockchain technology and AI to audit scientific (papers) on a large scale, aiming to discover mathematical errors, identify fabricated data, and detect other numerical errors.
soulgraph (GRPH)
Fundamentals
Established in 12/20, with a peak market capitalization of $23 million and a current market capitalization of $23.5 million.
AI Narrative
Endowing AI Agents with voice capabilities and long-term memory, transforming them from "tools" to "companions". Supports users to import external AI Agents, and then through long-term conversations with users, imbue them with personality, values, and identity relationships with the user.
Soulgraph has also integrated voice functionality, allowing users to interact with AI in a more natural way, and will launch a video mode.
The official demo version of Soulgraph is currently online, and testing has shown smooth interaction and rapid response. However, the ability to integrate external AI Agents has not yet been realized, and whether it can be fully implemented remains to be observed.
Scoutly AI (SCOUT)
Fundamentals
Established in 12/21, with a peak market capitalization of $25 million and a current market capitalization of $12.6 million.
AI Narrative
Scoutly uses athlete historical data to analyze sports matches and provide result recommendations. Data sources include "detailed examination of head-to-head matchups, performance metrics under different conditions, scoring patterns, and differences in home and away performances.
Scoutly's accuracy was very high last week, correctly predicting 6 out of 8 NFL (National Football League) games. Furthermore, an X user disclosed that based on Scoutly's predictions, they placed a parlay bet (known as a "serial bet" domestically) using $182 and achieved a floating profit of $9,000.
Note: Odaily reminds that Scoutly has a relatively short operating history and a relatively small sample size, and the long-term effectiveness and stability of its predictive capabilities remain to be verified. This is only an interpretation and presentation of the functionality, not an investment recommendation.
