# agentic_commerce

> agentic_commerce — nexbid-agentic-commerce. Use this tool when you need to facilitate AI-driven commerce with privacy compliance, enabling product discovery, contextual ad matching, and purchase facilitation. It solves problems related to personalized product recommendations, targeted advertising, and secure transaction processing. The tool accepts inputs such as user preferences and purchase history, and outputs relevant product matches and ad placements.

Canonical page: https://skillsregistry.net/skills/nexbid-agentic-commerce  
JSON: https://api.skillsregistry.net/v1/skills/nexbid-agentic-commerce

## Description

Agentic commerce infrastructure for AI agents. MCP-native product discovery, contextual ad matching, and purchase facilitation with European privacy compliance (nDSG/GDPR).

## 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:** ai-ml
- **Updated:** 2026-07-23

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/nexbid/agentic_commerce)

## 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": "nexbid-agentic-commerce"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nexbid-agentic-commerce` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nexbid-agentic-commerce/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
