We’re building DVM Terminal out of our own need, responding to demands from our own alpha group and internal research. Platforms like Axiom and GMGN paved the way, but they don’t deliver the depth of metrics and context we want. Trench traders demand more than price charts and Dexscreener API data, as token trading has become increasingly complex and fragmented. So it’s time for a new, event-driven, real-time system. Ours is filter-first, capable of surfacing 100+ true signals, layered with multi-agents that generate insights and live narratives for each token, and powered by active portfolio assistance that alerts you the moment major events hit.

Data Ingestion + Filter

DVM ingests raw market and on-chain data, then applies filters to remove 95% of noise and low-quality tokens. This ensures the system only analyzes tokens that meet real activity and risk thresholds.

Signal Engine + ML Scoring

Filtered tokens are evaluated with momentum, smart money, sentiment, and event signals. A machine learning scoring model fuses these into the DVM Score (0–100) for real-time ranking.

AI Agents

Specialized AI agents monitor different dimensions — whales, holders, sentiment, and events — working in parallel. Together they provide 24/7 coverage and an adaptive research layer beyond human speed.

Intelligence Feed + Narrative

Signals are transformed into an intelligence feed that reads like a Messari terminal for the trenches. Traders see live narratives, whale moves, and sentiment shifts in real time.

Execution + Treasury

Trades are executed on Solana with HFT-level speed, using MEV protection and slippage guards. A portion of fees are routed into the treasury for growth and reserves.

Buyback Flywheel

Revenue captured through fees is cycled into buyback and burn mechanics. This creates a direct feedback loop where usage drives long-term token value.

Let Our Signals & Agents Do The Hard Work

Token hunting today is noisy, fragmented, and exhausting — endless tabs, charts, and guesswork. DVM simplifies the process by combining best-in-class signals with AI-driven agents that filter, analyze, and narrate the market in real time. Instead of chasing every new launch or narrative shift manually, our system surfaces the trades that matter, identifies whale flows, and even alerts you when it’s time to enter or exit. The result: less grind, more clarity, and faster execution.

Agent Studio

Best example is the Trump launch where 75% of our community was out to dinner on a Friday night or asleep. In our agent studio, you’ll be able to customize and set parameters around new (and existing) launches - i.e. volume in first 20min, holders, LP $ and growth, rate of change, etc. which will allow notification or execution of a trade for new tokens. Furthermore, our system is trained to detect critical and complex moving pieces that are overlooked across most trading platforms, like Axiom or Gmgn.ai.

• Whale entry detection: Find whale buyers with the most profitable wallets entering new tokens under 3 days old.
• Find appropriate exit strategy: Agent discovers high volume launch, agent can also discover appropriate exit.
• Narrative surfacing: Discover the emerging narrative and highlight the 3 tokens most impacted.
• Second-order growth: Track acceleration on key parameters (volume, LP, holders) with new token launches.
• Bundle discovery: Uncover hidden bundles on recently bonded tokens before broader exposure.
• Liquidity exit alerts: Find when core liquidity pools are beginning to exit and flag early.
• Coordinated whale exits: Spot when multiple large wallets begin trimming the same token within a short window.
• Stealth dev wallets: Track when wallets tied to past high-performing projects seed liquidity in a new contract.
• Narrative pivots: Surface tokens gaining traction when a narrative (e.g., AI + gaming) suddenly shifts.
• Volume-to-holders divergence: Detect tokens where volume surges but holder growth lags (or the reverse).
• Smart Money clustering: Identify when several historically profitable wallets converge on the same micro-cap.
• Entry & exit optimization: Agent models both appropriate entry and optimal exit timing.
• Technical analysis agent: Run TA overlays (support/resistance, breakouts) alongside on-chain data.
• Past narrative research: Review historical narrative cycles to find repeatable signal patterns.
• Narrative ATH benchmarking: Compare current tokens to past narrative leaders’ ATH and sentiment arcs.
• X (Twitter) signal monitoring: Detect surges in mentions, influencer endorsements, and social sentiment velocity.

...with many, many, more.

The Future of Agent Development: Contributor Program

TradingView has theirs with Wizards, and we want to open up our platform for high-quality AI developers and data researchers to create top-tier agents and signals that are execution-ready. These contributors will be incentivized with DVM tokens plus profit share (for example, if agent charges 10% of profit for strategy, contributor receives half).

• Agent & Signal Marketplace – Contributors submit AI agents or signal models into a curated marketplace, where they are vetted for quality, transparency, and execution readiness.
• Monetization & Incentives – Each contributor can set agent fees (e.g., % of profits or flat subscription); contributors are rewarded via a mix of DVM tokens and a share of user fees.
• Alignment & Growth Loop – As agents gain adoption, contributors earn more, users get better signals, and the platform strengthens its edge through continuous innovation.

Growth Loop

As agents gain adoption, contributors earn more, users get better signals, and the platform strengthens its edge through continuous innovation

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Raise Terms & Tokenomics

We are seeking to raise $25m at a $50m valuation. Contributions must be in $SOL or $USDC on Solana, with a minimum of 10 SOL (or USDC equivalent) and no Maximum.

SOL Contribution Address: 4pyVRFX56MdqtREcxWnf6XuEGfRNCQaKm1LA4xmHeccv
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We reserve the right to end contributions at any time. Ending valuation is susceptible to change based on amount raised, but will be fixed at 2x raise (i.e. $1m raised=$2m val, $50m raised=$100m val).
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Our sale represents 50% to the community, with the remaining supply distributed across treasury, team, incentives, and liquidity to ensure sustainable growth and alignment. 65% of supply will be available on day 1 (factoring 25% treasury + 10% of team which is locked), we are anti traditional low-float high FDV models.

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$50m Valuation = 1% Market Share

Valuation reflects 1% Industry Market Share. Industry Fee TAM is $900m per year, according to adam_tehc on Dune. We conservatively assume Industry Value at $4.5b, assuming a 5x multiple on fees ($900m annual fees x 5x multiple). Consequently, our $50m valuation assumes market share of 1% ($50m / $4.5b industry value= 1.1%). This would also equate to $9m fees/yr in FY1 vs. total industry $900m.

We believe this most accurately reflects the risk of our operation (early development) while leaving early participants potential upside should market share accelerate or become larger than expected. We also believe targeted raise is in-line given recent tangential offerings in the launchpad space (less sticky).

Our future will be mainly centered around developing for Solana. The core will be two parts, on-going proprietary data development (mainly responsive to community and our own needs) and AI Agent Studio development and a program that can attract top AI trading agent developers.