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Transform LLM Outputs into Structured APIs

Define endpoints that use any LLM provider to deliver consistent, schema-validated JSON responses for your applications.

Why ShapeShyft?

Build reliable AI-powered APIs with confidence

Structured Output

Define JSON schemas for your API responses. ShapeShyft ensures LLM outputs always match your expected format.

Multi-Provider Support

Use OpenAI, Anthropic, Google Gemini, or your own LM server. Switch providers without changing your code.

Built-in Analytics

Track token usage, costs, latency, and success rates. Optimize your AI endpoints with real data.

Easy Testing

Test your endpoints instantly with our built-in tester. Generate sample inputs and validate responses.

Use Cases

What you can build with ShapeShyft

Text Classification

Categorize content, detect sentiment, or label data with consistent structured outputs.

Data Extraction

Extract entities, parse documents, or structure unstructured text into clean JSON.

Content Generation

Generate summaries, translations, or custom content with predictable response formats.

Ready to get started?

Create your first structured AI endpoint in minutes.

Powering

WhisperlyGenuivo
馃殌Performance Monitor

Web Vitals

LCPLargest Contentful Paint
19200ms
FIDFirst Input Delay
N/Ams
CLSCumulative Layout Shift
N/A
FCPFirst Contentful Paint
18636ms
TTFBTime to First Byte
434ms

Bundle Performance

JS Load
219586ms
CSS Load
13100ms
JS Files
84
Transfer Size
6.2MB

Memory

Used Heap
24.8MB
Total Heap
28.0MB
Usage
1%
GoodNeeds ImprovementPoor