Use Cases
Use Case
Description
On-Demand Research Reports
Users request AI-generated token reports or market analysis using $QTRA
Forecast & Investment Insight
Receive short- and mid-term predictions, confidence scores, and entry signals
DAO-Based Report Curation
Community members curate, vote on, and reward high-quality research
API Integration for Partners
Exchanges, DEXs, and funds integrate Quantora intelligence via API
Reputation-Based Ranking
Users or agents build credibility based on accuracy and insight contribution
Contribution & Earn Model
Share, comment on, and validate reports to earn token rewards
Portfolio Risk Analysis
Professionals use Expert Mode to assess portfolio risks and strategy exposure
Whitelabel Solutions
Partners deploy Quantora modules under their own brand for internal use
Quantora is designed to serve multiple user segments through versatile, modular applications of its AI-powered research system. The $QTRA token powers utility across these real-world crypto use cases, from casual traders to institutional-grade data consumers.
7.1. 📘 On-Demand Research Reports
Any user can input a token name, contract address, or open-ended question (e.g., “Should I buy $ABC now?”), and receive a dynamically generated report. These include:
Tokenomics breakdowns
On-chain movement summaries
Market sentiment charts
Risk scores and investment flags Access is granted via one-time $QTRA payments or subscription tiers.
7.2. 🔮 Forecast & Investment Insight
Quantora provides AI-driven price flow predictions based on a hybrid of:
Technical analysis
On-chain wallet activity
Social sentiment
Developer momentum
Predictions are time-bound, include confidence intervals, and come with explainable justifications.
7.3. 🧑⚖️ DAO-Based Research Curation
In the long term, Quantora enables community-led curation:
Anyone can submit a report for DAO review
Members vote on accuracy, insightfulness, and uniqueness
Top reports are surfaced and rewarded from the Research DAO Reserve
This transforms passive reading into collaborative intelligence building.
7.4. ⚙️ API Integration for Partners
Quantora provides APIs for:
Centralized Exchanges (CEXs) seeking risk scores and listings filters
DEX dashboards needing project health indicators
VC firms and data platforms looking to enrich their analytics stack
APIs can return raw data, scorecards, or formatted summaries.
7.5. 🧠 Reputation-Based Ranking
As users interact with Quantora — by submitting feedback, making predictions, or curating reports — their reputation score grows. This helps:
Highlight credible researchers
Build public trust around AI agents
Surface proven contributors in communities
Over time, reputation becomes a monetizable signal in DAO governance or research marketplaces.
7.6. 🪂 Contribution & Earn
Community members can earn $QTRA by:
Sharing reports to Telegram/Twitter
Validating or correcting model outputs
Translating, localizing, or visualizing reports
Participating in community bounties
This turns research into a participatory economy.
7.7. 📊 Portfolio Risk Analysis (Expert Mode)
Traders and funds can use Quantora to:
Score risk across multiple tokens
Visualize exposure to unlocks or VC events
Backtest strategies based on past model forecasts
This functionality is available in Expert Mode, accessible via $QTRA staking or API key.
7.8. 🧩 Whitelabel Solutions
Exchanges, DAOs, and private communities can deploy Quantora modules with:
Custom branding
Internal data integrations
Report format control
Custom scoring logic
This expands Quantora into a B2B intelligence provider, not just a user-facing app.
Quantora’s use cases make it a multi-surface, multi-profile AI infrastructure, adaptable to nearly every layer of the Web3 investment stack — from individual insights to institutional decision-making.
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