2. Agent Types
Hypaw Terminal offers a set of prebuilt agent types that you can deploy directly from the dashboard. Each agent is designed for a specific category of logic — from content publishing to trading execution — and is powered by live context from the Model Context Protocol (MCP).
Agents do not require code to configure. You choose the type, select the context signals it should listen to, define trigger conditions, and optionally connect execution.
Social Agent
Publishes posts to X automatically based on social or market activity.
Tech/Market Analysis Agent
Identifies price patterns, technical setups, and emerging trends.
Whale/Smart Money Watcher
Tracks high-volume wallets and reacts to large moves.
DeFAI Agent (Coming Soon)
Executes onchain DeFAI strategies using logic and math-based triggers.
Market Making Agent (Coming Soon)
Provides liquidity and earns from bid/ask spreads.
Arbitrage Agent (Coming Soon)
Scans venues for price mismatches and executes trades.
DAO Agent (Coming Soon)
Monitors governance proposals, voting, and token movements.
Autonomous Trading Agent (Coming Soon)
Allocates and rebalances funds based on strategy input.
Social Agent
The Social Agent listens to social and market signals and automatically publishes posts to X (Twitter) based on pre-defined conditions.
Common use cases:
Post when a token crosses a threshold of mentions on X or Telegram
Publish alerts about trending tokens, DAO votes, or whale movements
React to real-time market events with templated summaries or content
You define:
The type of content (text + token data + hashtags)
Posting thresholds (e.g., minimum mentions, time windows)
Frequency limits (e.g., max posts per hour)
Integration: Requires connection to an X account via OAuth. Posting is automated and rate-limited.
Tech / Market Analysis Agent
This agent type is focused on price patterns and market structure. It listens to live trading data from Hyperliquid(via MCP) and evaluates indicators like:
Breakouts and resistance flips
Moving average crossovers
Volatility spikes or volume surges
Trend shifts or momentum signals
Common use cases:
Detect early trend changes and post an alert
Monitor high-volume tokens for entry conditions
Serve as input to another execution layer
Execution (trading) is optional — this agent can be used purely for monitoring or publishing.
Whale & Smart Money Watcher
This agent tracks large wallet activity across chains and exchanges. It’s built to flag movements that suggest insider positioning, large-scale inflows/outflows, or smart contract interactions.
Example logic:
“If a tagged wallet deposits over $100k into Hyperliquid, monitor price response”
“If a whale accumulates across DEXs and sentiment spikes, trigger alert or trade”
“Track DAO multisig movements tied to governance proposals”
MCP delivers both labeled wallet data and transaction context. Agent output can be a trade, post, or notification.
Coming Soon Agents
The following agent types are in development and will be available soon:
1. DeFAI Agent
Run rule-based strategies using onchain data — e.g., vault thresholds, pool balances, lending rates, token emissions.
2. Market Making Agent
Provide liquidity to selected pairs using pre-configured bid/ask curve strategies. Set spread ranges and reaction logic based on volatility.
3. Arbitrage Agent
Track cross-venue pricing and respond when arbitrage opportunities arise. Includes optional multi-agent setup for multi-leg execution.
4. DAO Agent
Monitor DAO proposals, voting trends, and multisig execution. Post updates or trigger follow-on actions when governance shifts occur.
5. Autonomous Trading Agent
Allocate funds across multiple strategies and rebalance based on conditions (e.g., momentum, volume, volatility clusters).
Each future agent type will use the same core structure: Context → Trigger → Action, with full MCP-powered data and optional integration with Hyperliquid or external APIs.
Next: 3. System Architecture → Understand how agents, context, and execution are wired together inside Hypaw Terminal.
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