JSON Scout

**JSON Scout — Turn Unstructured Content Into Structured Data

JSON Scout is an AI-powered data extraction tool that converts free-form content into structured JSON without relying on regex. It leverages large language models to define the desired output, parse input content, and return structured data in the requested format. The platform emphasizes accuracy, scalability, and ease of integration into existing data pipelines.

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Key Value Proposition

• Extract structured data from diverse content types (dates, addresses, reviews, user info, audio transcripts, etc.) without writing regex patterns.
• Define the exact output schema, and let JSON Scout handle content processing and mapping.
• Scales from small to large workloads with batch processing capabilities.
• Seamless API integration for Python, Node.js, and other languages.
• Flexible pricing plans, including a free tier, designed for individuals and teams.

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How It Works

1. Define Your Output: Tell JSON Scout the exact fields you want to extract (e.g., dates in mm-dd-yyyy).
2. Input Your Content: Provide the content you want analyzed (text, emails, logs, transcripts, etc.).
3. Fetch Insights: JSON Scout processes the content and returns a structured JSON object with the requested data.

This workflow eliminates the traditional REGEX approach and adapts to changing content formats with human-like interpretation.

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Workflow Example

• Input payload specifies a schema such as date_purchased (mm-dd-yyyy) and a content string containing a date.
• Output returns a JSON structure with the extracted field, e.g., { "date_purchased": "01-12-2012" }.

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How It Works: In-Depth (From Old to New)

• Old Method: Custom REGEX patterns for each data format, which fails with typos and evolving formats.
• New Method: Use JSON Scout to declare the desired data output; the system infers and extracts data accordingly, reducing maintenance and increasing accuracy.

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API & Integration

• Batch processing capable: process multiple content items in one call.
• API endpoints designed for easy integration into existing data pipelines.
• Language-agnostic: compatible with Python, Node.js, and other languages via standard HTTP calls.

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Pricing (Summary)

• Free Plan: 0/month, basic token allowance, suitable for experimentation.
• Starter: $9/month, higher token limit and features.
• Standard: $99/month, higher limits and batch capabilities.
• Enterprise: Custom plans for large organizations with extended needs.

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Safety & Compliance

• Designed for structured data extraction from permissible sources.
• Ensure you have rights to process the content and comply with privacy regulations when handling sensitive information.

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Core Features

• Define the exact output schema for data extraction
• Text, audio, and multi-source data processing
• No regex required: rely on AI-driven extraction
• API-based batch processing for scalable workloads
• Language-agnostic integration (Python, Node.js, etc.)
• Flexible pricing with a free tier
• Continuous improvement via model-driven extraction