# Webhound

> Webhound — ai-webhound-webhound. Use this tool when you need to conduct efficient web research with controlled effort and budget, generating cited outputs and evidence packs to support informed decisions. It solves problems of tedious information gathering, verifying sources, and managing research costs. Ideal for use cases requiring reliable data collection, Webhound provides controllable inputs and outputs, making it suitable for projects with specific budget and evidence requirements.

Canonical page: https://skillsregistry.net/skills/ai-webhound-webhound  
JSON: https://api.skillsregistry.net/v1/skills/ai-webhound-webhound

## Description

Budgeted reports and datasets with Hound, Webhound's DeepSeek V4 Pro + GPT-5.4 research harness.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 0.4.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-26

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.webhound%2Fwebhound)

## Use it

MCP endpoint published by the skill: `https://api.webhound.ai/api/v2/mcp`

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": "ai-webhound-webhound"
    }
  }
}
```

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