Deep Agents is an AI agent platform specialized in on-chain data analysis, developed by the US-based Deep Agents Inc. Several AI agents analyze Solana trading data and social media activity in real time, returning the results in plain language. Instead of reading dashboards yourself, you ask a question such as “who are the largest holders of this token?” and an agent investigates and answers. The platform does not stop at analysis: swaps, limit orders, and perpetual (leveraged futures) trading can all be completed on the same screen, which is the biggest difference from conventional on-chain analytics tools. The official documentation reports more than 18,500 on-chain tasks completed and 4,832 daily active traders as of May 2025.
Key Features
- Multiple AI agents split by role: Rather than a single chatbot, the platform is made up of agents that each own an area. They include Tiffany (Top Holders), which surfaces large holders; Selina (Holder Segmentation), which breaks the holder base into segments; Fiona (Pump Alert), which flags signs of a sudden surge; Xia (X Analysis), which analyzes mentions on X (formerly Twitter); and Emy (On-chain Trader), which handles the actual buying and selling
- Natural language queries: There is no query language or dashboard layout to learn — you simply ask in ordinary sentences. The official documentation describes it as “AI agents who think, respond, and act for you,” a design that hands over the whole loop of researching, answering, and acting
- Scans both on-chain and social signals: In addition to on-chain trading data such as wallet movements, it analyzes hype on social media. The aim is to catch attention building up before it shows in price and volume alone
- One stop from analysis to execution: Swaps, limit orders, and perpetual trading are supported, so there is no need to move to a separate exchange after reviewing the analysis. The interface allows leveraged crypto trades to be executed in one click
- A real-time stack centered on Solana: Built around the speed and low cost of Solana, it combines agent orchestration with real-time retrieval of chain data
Pricing
| Plan | Monthly price | What it covers |
|---|---|---|
| General use | Not disclosed | No specific price list is published on the official site or documentation |
The official documentation includes a Tokenomics section, which suggests a design built around a native token, but specific conditions such as holding-based feature limits could not be confirmed at the time of writing. Note that trade execution also incurs Solana network fees on top of any platform fee.
Pricing is as of August 2026. Please check the official website for the latest pricing.
Pros & Cons
✅ Pros
- You can get on-chain analysis results by asking in plain sentences, without learning how to read charts and dashboards
- Information that beginners struggle to gather on their own, such as the makeup of large holders or skew in the holder base, becomes accessible
- Analysis and trading live in the same place, so there is no break between deciding and acting
- Because agents are split by purpose, it is easy to work out what to ask
- On-chain data and social hype can be viewed together
⚠️ Cons
- Pricing is not published, making it hard to estimate cost before adopting it
- It is centered on the Solana chain, and coverage of other chains is not stated
- Support for leveraged trading means the same ease of operation also enlarges the risk of loss
- AI analysis is reference information, not investment advice. The final decision rests with the user
- The official site currently displays a notice to the effect that new experiences are being prepared, so what is offered may change
- The name closely resembles “deepagents,” the open-source agent-building library published by LangChain, which makes search results easy to confuse
Comparison with Similar Services
| Criteria | Deep Agents | Nansen | Bubblemaps | GMGN.ai |
|---|---|---|---|---|
| Main purpose | AI agent analysis plus trading | On-chain analytics dashboard | Visualizing holder distribution | Trading terminal for meme coins |
| How you use it | Natural language chat | Dashboards and screeners | Visual bubble maps | Terminal UI |
| Trade execution | Yes (swaps, limit orders, perpetuals) | No (analysis focused) | No | Yes (mainly automated trading bots) |
| Main chains covered | Centered on Solana | Multi-chain | Multi-chain | Solana and others |
| Ease for beginners | Usable just by asking | Requires understanding terms and data | Intuitive but narrow in purpose | Many controls; suited to advanced users |
Who Is It For
- People who want to research Solana tokens but are not used to reading block explorers or analytics dashboards
- People who want a quick read on large-holder movements and skew in the holder base just by asking
- People who want to cut down on moving back and forth between an analytics tool and an exchange
- People who want to cross-check social hype against actual on-chain activity
- Conversely, it is not a fit for those wary of leveraged trading, or those who work mainly on chains other than Solana
Summary
Deep Agents is a platform that tries to turn on-chain analysis from something you read yourself into something you ask an agent about. Having agents with distinct roles ─ Tiffany, Selina, Fiona, Xia and others ─ split the work of analyzing Solana data and social activity, then letting you run swaps or perpetual trades on the spot, is a strength that analysis-only tools do not have.
At the same time, gaps remain that are hard to check before signing up: pricing is not published, and the official site is in the middle of a refresh. Because AI output is one input to a decision rather than investment advice, a sensible starting point is to test its behavior with small amounts and without leverage, and judge from there whether it works as a supporting line for your own investment decisions.