Documentation
Build with TokenAlign
Comprehensive guides, API references, and examples for integrating temporal intelligence into your AI systems.
Guides & Tutorials
Core Concepts
API Quick Reference
Full API DocsBase URL: https://api.tokenalign.ai/v1
POST/v1/alignAlign temporal expressions
POST/v1/contamination-checkCheck dataset contamination
POST/v1/timelineExtract temporal timeline
GET/v1/usageCheck your usage
Quick Start (cURL)
curl https://api.tokenalign.ai/v1/align \
-H "Authorization: Bearer YOUR_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"input": "The meeting is on 15/03/2024",
"target_model": "gpt-4o",
"output_format": "json",
"detect_calendars": true
}'Quick Start (Python)
from tokenalign import TokenAlign
client = TokenAlign(api_key="YOUR_API_KEY")
response = client.align(
text="The meeting is on 15/03/2024",
target_model="gpt-4o",
output_format="json"
)
print(response.json())Need help?
Our team is here to help you integrate TokenAlign into your systems.