# SocioLogic

> Use this tool when you need to conduct market research and gather behavioral insights through simulated interviews and automated campaigns. SocioLogic solves problems related to understanding target audiences and informing decision-making by generating high-fidelity insights and comprehensive reports. It takes in research parameters and outputs actionable data, making it ideal for use cases where systematic decision-making is crucial.

Canonical page: https://skillsregistry.net/skills/sociologic-signal-relay  
JSON: https://api.skillsregistry.net/v1/skills/sociologic-signal-relay

## Description

Conduct market research using synthetic personas and automated campaigns. Simulate adversarial interviews to uncover unknown unknowns and generate high-fidelity behavioral insights. Organize research into focus groups and export comprehensive reports for systematic decision-making.

## 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:** search
- **Updated:** 2026-05-13

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/sociologic/signal-relay)

## 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": "sociologic-signal-relay"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sociologic-signal-relay` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sociologic-signal-relay/pull`

---
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