# Gas Estimator

> Use this tool when you need to retrieve current gas fee estimates for multiple EVM-compatible blockchains, such as Ethereum, Base, and Polygon, to optimize transaction costs and efficiency. It solves problems related to unclear or outdated gas fees, providing accurate estimates in structured JSON format. The Gas Estimator accepts a blockchain selection as input and returns fee tiers (slow, standard, fast) as output, making it ideal for use cases requiring real-time gas fee data, such as decentralized applications or cryptocurrency trading platforms.

Canonical page: https://skillsregistry.net/skills/br0ski777-gas-estimator  
JSON: https://api.skillsregistry.net/v1/skills/br0ski777-gas-estimator

## Description

Gas Estimator retrieves current gas fee estimates for five EVM-compatible blockchains: Ethereum, Base, Polygon, Arbitrum, and BSC. Returns fee tiers (slow, standard, fast) in structured JSON. Paid per call in USDC on the Base blockchain via the x402 micropayment protocol.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-05-18

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/br0ski777-gas-estimator)
- **Repository:** <https://github.com/br0ski777/gas-estimator-x402>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "br0ski777-gas-estimator"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/br0ski777-gas-estimator` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/br0ski777-gas-estimator/pull`

---
SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt