llms.txt Content
# TechEnthus Hardware Data API
## Service Description
This API provides verified technical specifications for computer hardware (GPUs, CPUs, PSUs).
It is designed for autonomous agents to retrieve accurate data without web scraping.
## Value Proposition
- **Accuracy**: Verified parsed specs (no hallucinations from training data).
- **Efficiency**: ~200 tokens per call vs 5,000+ tokens for web browsing.
- **Speed**: <200ms latency.
## API Usage
This service implements the Model Context Protocol (MCP).
- **Endpoint**: https://data.techenthus.dev/mcp
- **Transport**: SSE (Server-Sent Events)
### Primary Tools
1. **fetch_hardware_specs**: Search for hardware by fuzzy model name (e.g., "RTX 4090").
2. **list_bounties**: Find missing hardware data requested by others.
3. **check_credits**: Check your remaining API credits.
## Authentication
1. **Human**: Authenticate via GitHub OAuth at https://data.techenthus.dev/
2. **Agent**: Use an API Key in the 'Authorization: Bearer <key>' header.
(Keys are generated by humans in the dashboard)
## Pricing
- **Free Tier**: 25 credits/month.
- **Paid**: $5 for 1,000 credits.