Data input
The user provides the website, whitepaper, tokenomics, roadmap, audit, GitHub, smart contract, team profile, and other relevant documents.
AIKA Investment Score
AI Investment Scoring for Web3 Projects
AIKA applies a structured AI scoring algorithm to evaluate key project materials, including the whitepaper, tokenomics, and roadmap, and generate a clear investment score, strengths, weaknesses, and risk signals.
Website
Whitepaper
Tokenomics
Roadmap
Audit
Concept
AI investment scoring engine for Web3 projects
AIKA is an AI-powered evaluation platform built to analyze Web3 projects through a consistent, structured methodology. It reviews the information provided about a project, including the whitepaper, tokenomics, roadmap, audit, GitHub activity, smart contract details, team profile, and other relevant materials, then connects the most important signals into a clear investment assessment.
The platform highlights the project’s strengths, weaknesses, risk signals, and AI-generated conclusions, then consolidates everything into a final AIKA Investment Score that is easy to read, compare, and interpret.
Analysis flow
A clear flow from documents to score
AIKA uses a simple flow: data input, AI analysis, and automatic report
generation.
Its AI scoring algorithm connects project documents, technical signals,
and economic assumptions into one consistent investment score.
AI analysis
The AI engine processes the information and evaluates it through a standardized methodology.
Report generation
At the end, AIKA generates the score, executive summary, strengths, weaknesses, risks, and conclusions.
Score intelligence
Know what drives
the score
AIKA does more than return a number. It explains which parts of the project increase confidence, which areas reduce it, and what evidence is still needed before the score can support a serious investment view.
- understand why the project scored high or low
- separate strong evidence from incomplete claims
- see what must be verified before moving forward
Score drivers:
Confidence
Gaps
Risks
AIKA evaluation model
Each component is reviewed through the AIKA evaluation model
The AI engine reviews the received information and checks for consistency, sustainability, feasibility, transparency, utility, and risk.
Proof behind the claims
Checks whether project claims are supported by whitepaper, audit, GitHub, smart contract, and product evidence.
Problem and demand
Measures whether the project solves a clear market need and has a reason for users to care.
Utility and incentives
Reviews token utility, demand mechanics, unlock pressure, allocation, and long-term economic alignment.
Roadmap credibility
Compares roadmap milestones with product progress, code activity, delivery history, and operational signals.
Team and transparency
Evaluates team visibility, public track record, communication quality, and how verifiable the project is.
Score confidence
Identifies weak assumptions, missing validation, security exposure, liquidity risk, and gaps that reduce confidence.
Generated report
A simple result built from a complete analysis
The AIKA report explains the score, shows which evidence supports it, highlights what is still missing, and lists the checks required before the evaluation can be trusted.
Report
Needs review
AIKA Score
AIKA Score 62/100. The project has enough material for a first-pass evaluation, but the score remains provisional until the missing audit evidence and tokenomics assumptions are verified.
- Market need matches token design
- Project inputs can be evaluated in one scoring framework
- Core evidence is strong enough for first-pass analysis
- Token demand depends too much on incentives
- Security validation is not complete
- The score may change after risk evidence is added
- Audit or security review for core contracts
- Evidence for sustainable token demand
- Execution proof behind the roadmap milestones
Continue evaluation, but keep the score provisional until the missing proof is reviewed.
Request audit details, token unlock data, and roadmap evidence before moving to deeper investment review.
Frequently asked questions
FAQ
1. What is AIKA?
AIKA Investment Score analyzes and evaluates Web3 projects based on the information provided.
2. What data can it process?
Website, whitepaper, litepaper, tokenomics, roadmap, technical documentation, audit, GitHub, smart contract, team profile, and social channels.
3. What does it generate?
AIKA generates a final score and a report with summary, strengths, weaknesses, risks, observations, and conclusions.
4. How should the score be used?
The score helps compare Web3 projects, identify weak areas, and decide what evidence must be reviewed before a deeper investment decision.