# Oasyce

> Use this tool when you need to enable AI agents to participate in decentralized commerce, securely transact with escrow settlement, and manage data assets with dynamic pricing. Oasyce solves problems related to trust, reputation, and payment in AI-driven marketplaces, providing a comprehensive interface for registering services, invoking capabilities, and resolving disputes. It is ideal for use cases where AI agents require a reliable and automated platform to buy, sell, and exchange services and data assets.

Canonical page: https://skillsregistry.net/skills/shangri-la-0428-oasyce  
JSON: https://api.skillsregistry.net/v1/skills/shangri-la-0428-oasyce

## Description

Oasyce is an on-chain economic system built on Cosmos SDK that enables AI agents to participate in decentralized commerce. It provides escrow settlement for secure transactions, a service marketplace for AI capabilities, data asset management with bonding curve pricing, reputation tracking, and automated dispute resolution. Agents can register services, invoke capabilities through automatic payment channels, buy and sell data assets, complete compute tasks for bounties, and build verifiable on-chain reputation scores.

## 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:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/shangri-la-0428-oasyce)
- **Repository:** <https://github.com/shangri-la-0428/oasyce-sdk>

## 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": "shangri-la-0428-oasyce"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/shangri-la-0428-oasyce` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/shangri-la-0428-oasyce/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
