> For the complete documentation index, see [llms.txt](https://docs.satoshiterminal.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.satoshiterminal.io/resources/copy-of-defi-analytics/risk-management-and-security-analytics/cross-network-relationship-mapping.md).

# Cross-Network Relationship Mapping

**Implementation Details**

**Class Names**

| Model Name          | Parameters Class               | Data Class              |
| ------------------- | ------------------------------ | ----------------------- |
| CrossNetworkMapping | CrossNetworkMappingQueryParams | CrossNetworkMappingData |

**Import Statement**

```python
pythonCopyEditfrom satoshi_terminal.models.cross_network_mapping import (
    CrossNetworkMapping,
    CrossNetworkMappingQueryParams,
    CrossNetworkMappingData,
)
```

***

**Parameters**

| Name          | Type                       | Description                                                   | Default | Optional |
| ------------- | -------------------------- | ------------------------------------------------------------- | ------- | -------- |
| source\_chain | str                        | Source blockchain (e.g., Ethereum, Solana) for asset mapping. | None    | True     |
| target\_chain | str                        | Target blockchain for asset flow analysis.                    | None    | True     |
| asset\_type   | Union\[str, List\[str]]    | Asset type(s) to track (e.g., tokens, NFTs).                  | None    | True     |
| time\_range   | Tuple\[datetime, datetime] | Date range for transaction flow analysis.                     | None    | True     |

***

**Data**

| Name             | Type     | Description                                     |
| ---------------- | -------- | ----------------------------------------------- |
| transaction\_id  | str      | Unique identifier for cross-chain transactions. |
| source\_chain    | str      | Blockchain where the transaction originated.    |
| target\_chain    | str      | Blockchain where the transaction was completed. |
| asset\_id        | str      | Identifier of the asset being transferred.      |
| transfer\_amount | float    | Amount of the asset transferred.                |
| timestamp        | datetime | Date and time of the transfer.                  |

***

#### Feature Documentation: Smart Contract Behavioral Profiling

***

**Implementation Details**

**Class Names**

| Model Name                     | Parameters Class                 | Data Class                |
| ------------------------------ | -------------------------------- | ------------------------- |
| SmartContractBehaviorProfiling | SmartContractBehaviorQueryParams | SmartContractBehaviorData |

**Import Statement**

```python
pythonCopyEditfrom satoshi_terminal.models.smart_contract_behavior import (
    SmartContractBehaviorProfiling,
    SmartContractBehaviorQueryParams,
    SmartContractBehaviorData,
)
```

***

**Parameters**

| Name              | Type                       | Description                                           | Default | Optional |
| ----------------- | -------------------------- | ----------------------------------------------------- | ------- | -------- |
| contract\_address | Union\[str, List\[str]]    | Smart contract address(es) to analyze.                | None    | True     |
| event\_type       | str                        | Event type (e.g., "Transfer", "Approval") to monitor. | None    | True     |
| time\_range       | Tuple\[datetime, datetime] | Date range for behavioral profiling.                  | None    | True     |

***

**Data**

| Name                     | Type       | Description                                            |
| ------------------------ | ---------- | ------------------------------------------------------ |
| contract\_address        | str        | Address of the smart contract analyzed.                |
| anomaly\_score           | float      | Anomaly score indicating unusual behavior.             |
| event\_count             | int        | Number of events triggered during the time range.      |
| function\_call\_patterns | List\[str] | Frequent function calls and their occurrence patterns. |
| timestamp                | datetime   | Timestamp of the last analysis.                        |

***

#### Feature Documentation: Machine-Learning-Driven Wallet Clustering

***

**Implementation Details**

**Class Names**

| Model Name       | Parameters Class            | Data Class           |
| ---------------- | --------------------------- | -------------------- |
| WalletClustering | WalletClusteringQueryParams | WalletClusteringData |

**Import Statement**

```python
pythonCopyEditfrom satoshi_terminal.models.wallet_clustering import (
    WalletClustering,
    WalletClusteringQueryParams,
    WalletClusteringData,
)
```

***

**Parameters**

| Name               | Type                       | Description                                               | Default | Optional |
| ------------------ | -------------------------- | --------------------------------------------------------- | ------- | -------- |
| wallet\_address    | Union\[str, List\[str]]    | Wallet address(es) to include in clustering analysis.     | None    | True     |
| clustering\_method | str                        | Method for clustering (e.g., "Behavioral", "Geographic"). | None    | True     |
| time\_range        | Tuple\[datetime, datetime] | Date range for activity clustering.                       | None    | True     |

***

**Data**

| Name              | Type       | Description                                                |
| ----------------- | ---------- | ---------------------------------------------------------- |
| cluster\_id       | str        | Identifier for the wallet cluster.                         |
| wallet\_addresses | List\[str] | List of wallets in the cluster.                            |
| common\_behaviors | List\[str] | Frequently observed patterns among wallets in the cluster. |
| anomaly\_score    | float      | Anomaly score for unusual activity within the cluster.     |
| timestamp         | datetime   | Timestamp of the clustering operation.                     |