# Tempo

> Use this tool when you need to automate stablecoin payments, token swaps, and batch payroll processing on the Tempo blockchain. It solves problems related to transaction efficiency, security, and compliance, offering features like gasless transactions, whitelisting, and parallel execution. Ideal for use cases requiring autonomous, secure, and auditable financial transactions, with inputs including transaction data and outputs including processed payments and audit logs.

Canonical page: https://skillsregistry.net/skills/arome3-tempo  
JSON: https://api.skillsregistry.net/v1/skills/arome3-tempo

## Description

Integrates with Tempo blockchain (Stripe/Paradigm's L1 network) to enable autonomous stablecoin payments, token swaps, and batch payroll processing. Supports gasless transactions via fee sponsorship, TIP-403 compliance whitelisting, and parallel transaction execution using nonceKeys. Includes token management features for minting, burning, and role-based access control with comprehensive audit logging.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/arome3-tempo)
- **Repository:** <https://github.com/arome3/tempo-mcp>

## 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": "arome3-tempo"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/arome3-tempo` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/arome3-tempo/pull`

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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
