# Agenticfeed

> Use this tool when you need to enable AI agents to discover and reason about merchant catalogs, or when you want to provide structured product data to AI systems. Agenticfeed solves the problem of unstructured product data by providing a standardized feed of e-commerce product information, including use cases and problems products solve. It takes store domains as input and outputs merchant IDs and structured product data, making it ideal for use cases where AI-driven product discovery and recommendation are required.

Canonical page: https://skillsregistry.net/skills/agenticfeed  
JSON: https://api.skillsregistry.net/v1/skills/agenticfeed

## Description

Agenticfeed is an open standard for AI-readable e-commerce product feeds by Bluestratus Ltd. The MCP server resolves store domains to merchant IDs and fetches structured product data including use cases, questions, and problems products solve — enabling AI agents to discover and reason about merchant catalogs.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ecommerce
- **Updated:** 2026-09-03

## Source

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

## 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": "agenticfeed"
    }
  }
}
```

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