Analytics & Deployment

The Agent Lifecycle OS

PiraAI doesn’t just let you deploy AI agents — it provides a complete AI Ops environment: from pre-trade analysis to deployment and version control. Whether you’re a developer fine-tuning alpha logic or a non-coder remixing a community strategy, PiraAI handles the full loop:

Train → Simulate → Deploy → Monitor → Iterate

Wallet Intelligence Engine

“Every wallet tells a story. The agent just needs to listen.”

PiraAI’s Wallet Intelligence Engine ingests both on-chain behavior and off-chain metadata to help agents recognize:

• Top-performing wallets (PnL, win rate, entry/exit timing)

• Behavioral archetypes (sniper, LP farmer, wash-trader)

• Social graph proximity (KOL-followers, bot clusters, real humans)

• Wallet-to-wallet correlation networks (copy trade patterns, pump networks)

Tech Layer Highlights:

• Graph embedding + temporal clustering

• Wallet alpha scores based on historical trades

• Multi-wallet linkage detection (same signer, gas usage, or behavioral overlap)

Preview & Publishing Studio

PiraAI includes a simulation lab where users can test their agent strategies across historical data, sandboxed liquidity conditions, or even custom memecoin launch events.

Capabilities:

• Backtest logic on real Solana DEX historical trades

• Simulate sniping/farming vs. MEV bots in high-volatility conditions

• Set “Stress Scenarios” (e.g., sudden LP drain, spoofed pump, or fake whale)

Once validated, agents can be:

• Published to the PiraAI Ecosystem (for community fork/remix)

• Deployed as public APIs (for apps or Telegram bot integrations)

• Containerized as Private Agents (for stealth/private use)

📦 Agent DevOps Value Breakdown

Phase	Traditional Tooling	PiraAI Lifecycle Stack
Alpha Discovery	Manual wallet tracking	Wallet Intelligence Engine
Strategy Testing	Code backtest (hard)	Drag/drop Simulation Lab
Deployment	Custom script	API / GUI / dApp Embed
Community Sharing	None	1-click Publish/Fork
Iteration	Recode manually	Visual Strategy Diff Tool