# Talk2Data InsightGenius

> Use this tool when you need to analyze survey data efficiently, solving problems such as tedious data analysis and interpretation. It takes in survey data files (.sav, .csv, .xlsx) and outputs publication-ready Excel reports with statistical insights, including crosstabs, ANOVA, correlation, and gap analysis. Use Talk2Data InsightGenius when working with market research data to streamline analysis and gain actionable insights through conversational interface with Claude.

Canonical page: https://skillsregistry.net/skills/quack2025-talk2data-insightgenius  
JSON: https://api.skillsregistry.net/v1/skills/quack2025-talk2data-insightgenius

## Description

Analyze survey data (.sav, .csv, .xlsx) through Claude — crosstabs with significance testing, ANOVA, correlation, gap analysis, and publication-ready Excel exports. Upload once, analyze unlimited.

## What it does
Talk2Data InsightGenius lets market researchers analyze survey data by talking to Claude instead of wrestling with desktop software. Upload an SPSS (.sav), CSV, or Excel file once and run unlimited analyses through 13 specialized tools.

## Features
- Upload once, analyze unlimited: File sessions with 30-min sliding TTL (Redis-backed)
- 13 analysis tools: frequencies, crosstabs, correlation, ANOVA, gap analysis, satisfaction summary, auto-analyze, tabulation, export, metadata, variable profiling
- Multi-format: .sav (SPSS), .csv, .tsv, .xlsx, .xls with auto-detection
- Significance testing: Column proportion z-test at 90/95/99% confidence with letter notation
- Zero-config auto-analyze: Upload a file, get complete Excel with AI-detected banners, MRS groups, grids, and nets
- Professional Excel output: Publication-ready workbooks with significance letters, dual bases, nets, means, MRS, and Grid summaries
- Download URLs: Temporary 5-minute links for Excel files (n8n/Make compatible)
- Batch analysis: Analyze up to 50 variables in a single frequency call

## Example 1: Quick Frequency Analysis
```
User: "What's the distribution of overall satisfaction?"
→ spss_upload_file + spss_analyze_frequencies
→ Returns T2B 69.5%, mean 3.72 on 5-point scale
```

## Example 2: Cross-tabulation with Significance Testing
```
User: "Compare satisfaction across regions."
→ spss_analyze_crosstab(row="sat_overall", col="region", significance_level=0.95)
→ London 68.6% T2B significantly higher than Scotland 50.4% (p=0.013)
```

## Example 3: Zero-Config Auto-Analyze with Excel Export
```
User: "Just analyze everything and give me the Excel."
→ spss_auto_analyze
→ 62 tables, AI-detected banner (age_group), download link valid 5 min
```

## Authentication
API key required (format: sk_live_... or sk_test_...). Obtain at https://spss.insightgenius.io

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** database
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/quack2025/talk2data-insightgenius)

## 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": "quack2025-talk2data-insightgenius"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/quack2025-talk2data-insightgenius` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/quack2025-talk2data-insightgenius/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