The Nova Embed API lets ATS platforms score applications against job-specific criteria using AI. Generate screening criteria from job descriptions and get structured assessments with scores, strengths, concerns, and interview recommendations.Documentation Index
Fetch the complete documentation index at: https://nova.dweet.com/docs/llms.txt
Use this file to discover all available pages before exploring further.
Key concepts
| Concept | Description |
|---|---|
| Integrator | Your organization. Billing happens at the integrator level. |
| Tenant | One of your customers. Used for data isolation and per-customer metrics. |
| Environment | Sandbox (testing) or Production (live). Separate API keys per environment. |
How it works
1. Job setup (once per job)
Generate screening criteria from the job description. Optionally collect answers to clarification questions to refine the criteria. Nova stores criteria automatically.2. Scoring (per applicant)
Submit applications for async scoring. Pass the job ID, application ID, resume, and job description. Nova loads criteria automatically and delivers results via webhook.Base URLs
| Service | URL |
|---|---|
| API | https://embed.nova.dweet.com/v1 |
| Portal | https://embed.nova.dweet.com |
Environments
Your API key prefix determines the environment:| API Key | Environment |
|---|---|
sk_test_* | Sandbox |
sk_live_* | Production |
Sandbox runs the same AI models and processing pipeline as production. Scores you generate in sandbox are representative of production quality.
Next steps
Authentication
API keys, headers, and security
Quick Start
Score your first application in 5 minutes