> For the complete documentation index, see [llms.txt](https://creditslink.gitbook.io/lightpaper/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://creditslink.gitbook.io/lightpaper/creditlink-app/batch-analysis.md).

# Batch Analysis

#### 🔍 Overview:

The **custom batch address filtering** feature is part of Creditlink’s Smart On-Chain Analysis (Beta) and is specifically designed for **projects aiming to execute precision airdrops**. It helps identify and exclude Sybil and low-value addresses, enabling accurate targeting of high-value wallets.

***

#### 🌟 Key Features:

1. Process up to **3,000 addresses per batch**
2. **Customizable filtering conditions**
3. Avoid **duplicate or wasted airdrops**

***

#### 🚀 How to Use:

**Step 1:** Visit the Creditlink DApp (Web version):

👉<https://app.creditlink.info>

**Step 2:** Click on **‘Batch Analysis’**

<figure><img src="https://miro.medium.com/v2/resize:fit:1400/1*KlG1t1xzySv2SdLFY0D3iA.png" alt=""><figcaption></figcaption></figure>

**Step 3:** Upload your address list and set custom filtering criteria

Prepare your address list in **.txt format** and upload it. Then define your desired filter settings.

<figure><img src="https://miro.medium.com/v2/resize:fit:1400/1*5a4Je4d-ln72kYo_L47pXg.png" alt=""><figcaption></figcaption></figure>

Current supported filtering conditions include:

1. Blockchain network selection
2. Wallet creation time
3. Minimum wallet balance
4. Specific token holdings
5. Exclude addresses that have already received airdrops
6. Interactions with specific contract(s)

**Step 4:** Wait for results – your address list will be filtered using Creditlink’s smart algorithms.

Video Tutorial : <https://www.youtube.com/watch?v=9RC0V_rHWHI>