Blender
Blender is Anesthezia’s discovery and analytics engine for new and active tokens across supported networks. It allows users to build their own market view using modular columns, each with its own filters, logic, and purpose.

Core Purpose
Blender helps traders systematically find opportunities without manually scanning launchpads, DEX trackers, or social feeds. Instead of a static list, Blender lets users create up to several independent columns, each focused on a specific segment of the market - for example:
New low cap tokens with growing volume
More mature tokens with strong liquidity and positive KOLs Score
Each column updates in real time and works as a standalone discovery module.
Modules and Layout
When a user opens Blender for the first time, the page is empty with an option to create a new column.
For each column the user can:
Select the network (for example BNB or Solana)
Configure filters and thresholds
Set a custom name for the column
Users can create multiple columns and freely reorder them on the page (for example A - B - C or C - A - B).
Columns are fully modular and can be edited or removed at any time.

Auto Mode
Blender includes an Auto Mode that can automatically buy tokens which match the configured filters.
For each column, users can:
Enable or disable Auto Mode
Set a fixed purchase amount per token
Define liquidity and market cap limits
Configure slippage and price impact tolerance
Connect the auto purchases to existing bot logic, DCA Down, Take-Profit, or other risk rules
This mode is designed for traders who rely on data driven strategies and want to automate early entries without constantly monitoring charts or feeds.
Integration
Blender is tightly integrated with other parts of Anesthezia:
With the Analytics Layer - for KOLs Score, DEV Analytics, DEX statistics and AI-Agent sentiment from X and Telegram
With Bots - tokens discovered in Blender can be immediately connected to trading bots or templates
Blender transforms token discovery from manual searching into a configurable, automated, and repeatable process.
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