🛠️How It Works

Step 1: Data Extraction

• Website and Whitepaper Reports: Data is extracted from both the project website and the whitepaper using Apify.com and PDF.co. This initial extraction forms the basis of the separate reports.

Step 2: Automated Analysis

• Scoring and Evaluation: Using OpenAI / ChatGPT, the system analyzes the extracted data against predefined criteria in categories like Transparency, Verification, and Compliance. Each criterion is scored and detailed, ensuring that every aspect of the project is covered.

Step 3: Merging Reports

• Integration Process: The website report serves as the primary source. If any data is missing or marked as 'no data found', the system supplements it with information from the whitepaper report. In cases where both reports provide data but differ, the website report is preferred, and discrepancies are flagged with a "(?)" annotation.

• Final Output: The merged report includes comprehensive details such as project name, summary, category, criteria analysis, social media links, and imprint information—all formatted in a strict JSON structure for consistency and further processing.

This automated process, powered by the collaboration of external apps, ensures that web3analyzer delivers accurate and reliable project reports with no manual intervention, maintaining consistency and quality across every analysis.

Limitations:

In the current state, the analyzer does not verify the correctness of the provided data and information.

The analysis relies on the provided data from the project. If the information is fake, the analyzer cannot recognize this.