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New Features

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🌱 Seedless Generation

Generate high-quality synthetic data without requiring any seed examples. Simply describe what you want and let Dataframer create it from scratch.How to create a spec (blueprint for the data) without uploading examples:
  1. Select “Seedless” as the specification type in the spec creation wizard
  2. Provide a spec name and generation objectives
  3. Set your target token range (e.g., 2,000-5,000 tokens)

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👥 Admin Tools

New internal administration capabilities for managing teams and users.Features:
  • Role-based access control with Admin and User roles
  • Admins can promote/demote users between Admin and User roles
  • Company-wide user visibility and management from the Profile page

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💳 Billing System

Usage-based billing with transparent pricing and detailed invoicing.How it works:
  • Calendar month billing cycles (1st to last day of each month)
  • Run Details page now shows the cost of your run
  • Failed task cost exclusion - you’re not charged for failed runs
  • Team and Enterprise plan types

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🗃️ ToolBox - SQL Execution Environment

Multi-database SQL validation engine for generating high-quality Text-to-SQL datasets.Capabilities:
  • Validates both schema DDL and query SQL
  • Parallel testing against 3 databases: PostgreSQL, MySQL, SQLite
  • REST API integration for programmatic access

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🤖 Gemini 3 Pro Support

Full integration of Google’s latest Gemini 3 Pro models across the platform.Capabilities:
  • Minimal reasoning mode (gemini/gemini-3-pro-preview) and high reasoning mode (gemini/gemini-3-pro-preview-thinking)
  • 1 million token context window
  • Available for spec analysis, generation, evaluation, red-teaming, and chat