> For the complete documentation index, see [llms.txt](https://docs.rubyscore.io/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.rubyscore.io/products/multichain-reputation-score-mrs.md).

# Multichain Reputation Score (MRS)

Multichain Reputation Score (MRS) is a multichain score (**0–1000**) that aggregates a wallet’s behavior across multiple networks.

### How it’s calculated

#### Network indexing

RubyScore indexes a wallet’s transaction history across supported blockchains — primarily **Ethereum, Optimism, Arbitrum, Base**, plus other connected EVM networks.

#### Multi-parameter analysis

* **Total gas spent**
* **Total number of transactions**
* **Activity frequency** (unique active days & weeks)
* **Interactions with unique contracts**
* **Bonus points for completing dApp quests** within RubyScore’s reputation ecosystem

#### Weighted scoring

Each metric carries its own weight. The final score is normalized to the **0–1000** range.

***

### Threshold Levels (0–1000)

| Score    | Activity description           | Likelihood of real user |
| -------- | ------------------------------ | ----------------------- |
| 0–49     | Minimal activity               | Very low                |
| 50–99    | Basic activity                 | Low                     |
| 100–199  | Regular activity               | Medium                  |
| 200–499  | Minimal multichain activity    | Medium–High             |
| 500–749  | Baseline multichain activity   | High                    |
| 750–1000 | Consistent multichain activity | Very high               |


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