hackquest logo

NINJAPING

NinjaPing AI is a proactive AI Agent hunting for @injective on-chain shocks & X sentiment. Connect N1NJ4 NFT to unlock unfiltered Alpha Pulses and 1-click "Raid on X" viral alerts.

Videos

Tech Stack

Next
python
Web3

Description

⚡ Overview

NinjaPing AI is a proactive, event-driven AI Agent and social-onchain synthesizer purpose-built for the Injective ecosystem. Moving away from the saturated market of passive chatbots that require manual user querying, NinjaPing AI actively hunts for liquidity shocks, volume velocity anomalies, and smart-money movements on Injective dApps (such as Helix and Mito Finance), instantly correlating them with real-time social sentiment shifts on X (Twitter). It seamlessly synthesizes complex, raw cryptographic data into high-signal, actionable 3-sentence "Pulse Reports."

🚀 Key Features

  • Autonomous Anomaly Engine: Runs background async cron workers to monitor volume deviations, cross-chain bridge flows, and whale address behaviors across Injective.

  • N1NJ4 Holder Mode (Dynamic Prompting): Features an on-chain cryptographic gate. Connecting a wallet holding a N1NJ4 NFT switches the dashboard into "Shadow Ninja Mode," changing the LLM system persona to deliver raw, unfiltered, krypto-native alpha.

  • "Raid on X" Integration: A built-in social amplification tool that lets users instantly broadcast context-aware, AI-generated viral tweets regarding detected anomalies with one click.

  • Degen vs. Smart Money Index: A proprietary visual heuristic mapping whether a token’s momentum is driven by quiet institutional accumulation or retail social hype.

🗺️ Vision & Roadmap

🎯 Short-Term Vision (Next 1–3 Months)
  • Mainnet Injective Indexer Integration: Transitioning from filtered data endpoints to direct Injective RPC indexer streaming to achieve near-zero latency for on-chain anomaly triggers.

  • Telegram & Discord Alpha Bots: Deploying standalone, fully automated bot extensions allowing N1NJ4 NFT community channels to receive instant "NinjaPings" directly in their chat rooms.

  • Custom Alert Thresholds: Allowing authenticated users to set custom parameters for their AI agent (e.g., notify only when volume velocity exceeds 300% on specific CW20 tokens).

🌐 Long-Term Vision (12+ Months)
  • AI-Driven Autonomous Execution: Evolving NinjaPing from a purely analytical tool into an execution layer. Users will be able to delegate secure, automated trading logic to the AI Agent (e.g., "If NinjaPing detects a Smart Money Accumulation pulse on Token X, automatically route a 50 INJ buy order via Helix").

  • Decentralized Agent Network: Transitioning the AI core into a decentralized network of specialized node-agents staking INJ to validate on-chain anomalies, creating a trustless, crowdsourced intelligence layer for Web3.

  • Cross-Chain Ecosystem Expansion: Leveraging Injective’s interoperability infrastructure to monitor and synthesize inter-chain data flows moving through the IBC network, positioning NinjaPing as the definitive cross-chain hub for AI market intelligence.

Progress During Hackathon

1. Backend & Anomaly Data Pipeline (Python & FastAPI)
  • Infrastructure: Formulated an asynchronous event-driven loop using FastAPI to ingest market metrics.

  • Mathematical Logic: Implemented statistical thresholds (standard deviation tracking) to identify volume velocity shocks and outlier whale transactions.

  • Data Simulation: Built a contextual data generator that aggregates live price feeds and simulates social streams to mimic ecosystem trading volume fluctuations.

2. AI Synthesis Core & Dynamic Prompt Engineering
  • Context Fusion: Developed the RAG layer that formats raw data packages (on-chain logs + social context) and delivers them into OpenAI's GPT models via structured JSON mode.

  • NFT-Gate Persona Mutation: Programmed the conditional logic that alters the AI's internal system prompts. It checks cryptographic wallet ownership states and seamlessly mutates the persona from standard institutional output to the community-tailored, uncensored "Shadow Ninja Mode."

3. Frontend Terminal & Interactive UX (Next.js 15 & Tailwind)
  • Bloomberg-Style UI: Designed and developed a fully responsive, dark-mode terminal layout with an airport-style live feed.

  • Animations: Built a 1.5-second cinematic terminal boot-up sequence and integrated a fluid typewriter effect for newly generated AI outputs to enhance visual fidelity.

  • Social Amplification Loop: Programmed the "Raid on X" button component, which automatically maps structured AI-text strings directly into pre-composed Twitter intent links for immediate community distribution.

Team Leader
WWiktoria Jarema
Project Link
Sector
AIDeFiNFTSocialFi