API Data Analysis: Analyze Data from Any App

July 26, 2026

The web interface is great for one-off analysis. But what if you want to analyze data from your own app, a script, or an automated pipeline? Queryly's REST API lets you send data and get analysis results programmatically. No browser needed.

Why Use an API for Data Analysis?

APIs let you integrate analysis into workflows that run without human intervention:

Automated reports: Cron job pulls data daily, sends it to Queryly, gets a report back
App integration: Your SaaS app lets users upload files and get instant analysis
Pipeline validation: Check data quality before it enters your database
Batch processing: Analyze hundreds of files without clicking through the UI
Custom dashboards: Build your own frontend, use Queryly as the analysis backend

How the API Works

Every analysis starts with an API key. Generate one from the Queryly dashboard, then use it in your requests.

Step 1: Generate an API Key

Sign in to getqueryly.com
Go to Settings
Click "Generate API Key"
Choose an expiration (default: 30 days)
Copy the key shown once

Step 2: Upload Your File

Send your file to the upload endpoint:

curl -X POST https://getqueryly.com/api/data-scientist/upload \
  -H "X-API-Key: YOUR_API_KEY" \
  -F "file=@data.csv"

The response includes a session ID. Use this ID for all subsequent requests on this file.

Step 3: Query Your Data

Ask questions about your data using natural language:

curl -X POST https://getqueryly.com/api/data-scientist/query \
  -H "X-API-Key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"query": "What is the average revenue by region?", "session_id": "SESSION_ID"}'

Get back structured results with statistics, charts, and insights.

Step 4: Run Health Checks

Check data quality programmatically:

curl -X POST https://getqueryly.com/api/data-scientist/health-check \
  -H "X-API-Key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"session_id": "SESSION_ID"}'

API Endpoints

POST /api/data-scientist/upload: Upload a file for analysis
POST /api/data-scientist/query: Ask a question about uploaded data
POST /api/data-scientist/health-check: Run data quality check
POST /api/data-scientist/insights: Get key insights from data
POST /api/data-scientist/swarm: Run analyst swarm (multiple personas)
POST /api/data-scientist/chart: Generate a chart from data

MCP Protocol Support

For AI coding assistants like Claude Code, Queryly supports the Model Context Protocol (MCP). This lets your AI assistant analyze data directly from your coding environment without manual API calls.

MCP tools include: file upload, query, health check, chart generation, insights, analyst swarm, and report generation.

Rate Limits

API calls draw from the same daily limit as web usage. Free tier gets 10 calls per day. Pro tier gets 500 per day. Upgrade anytime from the dashboard.

Try It

Generate an API key and test the upload endpoint with a CSV file. The response tells you if the file was accepted and what analysis options are available.

Get Your API Key