🪄Scrape Query

The Scrape Query Method developed by Scanai is a comprehensive approach designed to analyze blockchain transactions with a focus on identifying PNL activities. Our methodology encompasses a series of steps, beginning with the input of a token or wallet address and culminating in a detailed report on trader transactions, below is a summary of our process :

1. Input Details: Start by inputting a token or wallet address.

2. Analysis: Analyze the token, trader wallet, or link it to a sniper bot for further inspection.

3. Transaction Retrieval: Fetch the first 30 transactions associated with sniping, capturing details on tips and transaction routing.

4. Worth and PNL Calculation: Assess the value and potential profit/loss for each identified sniping or trading transaction.

5. Sniping Activity Identification: Scrutinize the transaction data to detect sniping behaviors.

6. Tips and Gas Fees Examination: Look for transactions with unusually high tips or gas fees as indicators of sniping attempts.

7. Routing Analysis: Analyze the transaction routing for patterns that may suggest suspicious activities.

8. Market Impact Assessment: Determine how sniping has affected the token's prices and market liquidity.

9. Report Generation: Compile a report that includes:

   • Detailed information on the 30 scrutinized transactions.

   • Insights into the trades activities, including their frequency, timing, and effects on the market.

   • A thorough worth and PNL analysis for each transaction.

10. Integration and Security: Optionally, integrate with external datasets or tools for enriched analysis and implement security protocols to mitigate false positives.

11. Conclusion: Finalize the analysis process with a comprehensive overview and insights.

By following this method, users can gain a deep understanding of trading behavior within the blockchain ecosystem, enabling them to make informed decisions and strategies.