DataGen

Agentic synthetic data platform for schema design, AI generation, API automation, and MCP workflows.

From idea to production-ready data workflows in one screen

This guided showcase auto-scrolls through core capabilities: schema design, AI generation, API automation, MCP tools, and Web3-ready monetization.

Launch Builder Workspace View Full Features
Visual authoring

Drag-and-drop schema builder

  • 30+ field types with categories and drag targets
  • Per-field blanks, reorder, and schema validation
  • Preview, SQL, and multi-format export (CSV, XLSX, JSON, XML)

Design production-shaped tables without leaving the canvas.

Agentic AI

Natural language → schema & samples

  • Topic or pasted examples to infer columns
  • Optional contract path: infer-schema → validate → generate-ai
  • SSE streaming and idempotent AI runs where enabled

Iterate fast with AI that respects structure and guardrails.

Developer ready

REST API & OpenAPI

  • /api/v1 health, capabilities, field-types, validate
  • Deterministic generate plus infer-schema / generate-ai
  • X-API-Key, machine-readable errors, downloadable .http samples

Wire agents and CI the same way you’d wire any first-party API.

MCP native

Tools, resources & prompts

  • stdio connector for local IDEs + hosted /mcp/sse
  • Same auth model as HTTP (X-API-Key)
  • Drop-in JSON configs for Cursor-style clients

Let assistants call DataGen as a first-class MCP server.

Web3 rails

x402 & Base Sepolia

  • Paid generation paths for autonomous agents
  • Escrow-aware flows and canary invoice samples
  • Monetized runbooks in-repo for API & MCP

Prototype machine-to-machine settlement without bolting on a second product.

🤖 AI-Powered
🎯 Drag & Drop Schema Builder
📊 Multi-Export (XLS, CSV, JSON, XML)
🗄️ SQL Queries
💡 Tip: Use drag & drop for quick schemas, or switch to AI Chat for natural language generation!

Field Types

Click category to expand/collapse, then drag fields

▶ Personal Data 6
👤 First Name
👤 Last Name
📧 Email
📱 Phone
🏠 Address
🎂 Birthdate
▶ Business Data 3
🏢 Company
💼 Job Title
🏛️ Department
▶ Financial Data 12
💳 Credit Card
💰 Currency
💵 Amount
🏦 IBAN
📊 Account Number
📄 Invoice Number
🧾 Tax ID
📒 Ledger Code
🎯 Cost Center
🔖 Transaction ID
💸 Transaction Amount
✅ Payment Status
▶ Technical Data 4
🔑 UUID
🌐 IP Address
🔗 URL
👨‍💻 Username
▶ Date & Time 3
📅 Date
🕐 DateTime
🎂 Birthdate
▶ Numbers 3
🔢 Integer
🔢 Decimal
📊 Percentage

Your Schema

Field Name
Type
Options
Actions

Drag and drop fields here to build your schema

🤖

Hello! I'm your AI assistant for generating synthetic data. Tell me what kind of data you need, and I'll create it for you.

Example: "I need customer data with 500 records including names, emails, phone numbers, and addresses"

OR

Generated Data Preview

HTTP API

Scripts, endpoints, and payloads

Production API base: https://datagen.gptlab.ae/api/v1
Auth header: X-API-Key: DATAGEN-...
Optional deduplication: Idempotency-Key for /generate-ai.

Core endpoints

  • GET /health
  • GET /capabilities
  • GET /field-types
  • POST /validate
  • POST /generate
  • POST /infer-schema
  • POST /generate-ai
  • POST /generate-ai/stream

Starter script (curl)

curl -X POST "https://datagen.gptlab.ae/api/v1/infer-schema" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: DATAGEN-FREE-REPLACE_ME" \
  -d '{"prompt":"payments dataset","field_count":8}'

Guarded AI generation

curl -X POST "https://datagen.gptlab.ae/api/v1/generate-ai" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: DATAGEN-FREE-REPLACE_ME" \
  -H "Idempotency-Key: ai-run-001" \
  -d '{"prompt":"payments dataset","record_count":100}'
Download Schema-mode .http Download Contract-first .http Download AI-mode .http Download x402 .http

Interactive CBDC / agentic series: Open the live walkthrough (blog → built interactive).

MCP

Connection strings and MCP-ready configs

Hosted SSE endpoint: https://datagen.gptlab.ae/mcp/sse
Required header (paid/private tiers): X-API-Key: DATAGEN-...
Local stdio runner: python mcp_datagen/server.py.

Remote MCP config

{
  "server_url": "https://datagen.gptlab.ae/mcp/sse",
  "headers": {
    "X-API-Key": "DATAGEN-FREE-REPLACE_ME"
  }
}

Local stdio connection

DATAGEN_API_BASE=https://datagen.gptlab.ae
DATAGEN_API_KEY=DATAGEN-FREE-REPLACE_ME
python mcp_datagen/server.py

Tool groups exposed

  • health, catalog, capabilities
  • validate, generate
  • infer-schema, generate-ai, stream transcript
  • Resources: field-types, OpenAPI, capabilities
Download MCP schema-mode Download MCP AI-mode Download MCP x402 runbook

Interactive CBDC / agentic series: Open the live walkthrough (blog → built interactive).

Generating data...