ai-interviewer.micro1.ai

# micro1 API ## Docs - [Authentication](https://ai-recruiter.micro1.ai/api-reference/getting-started/authentication.md): Use the micro1 dashboard to get your API key. - [Introduction](https://ai-recruiter.micro1.ai/api-reference/getting-started/introduction.md): micro1's AI Recruiter API allows you to generate custom conversational interviews based on the skills you’d like to test. You call the API with the skills & more details about the role you’re hiring for, receive an interview link, and invite candidates. - [Event types](https://ai-recruiter.micro1.ai/api-reference/getting-started/webhooks/examples.md): List of supported event types and their payload. - [Introduction](https://ai-recruiter.micro1.ai/api-reference/getting-started/webhooks/introductions.md): Webhooks allow you to receive real-time notifications when specific events occur in your micro1 account. This enables you to automatically trigger actions in your systems based on these events. - [Get all completed reports](https://ai-recruiter.micro1.ai/api-reference/interview-reports/get-all-completed-reports.md): This endpoint retrieves reports for candidates who have completed their AI interviews. You can filter the reports by Interview ID, Candidate ID or Report ID. - [Get interview recording](https://ai-recruiter.micro1.ai/api-reference/interview-reports/get-interview-recording.md): Returns interview recording data for a completed report. Requires report_id; resolves session from your account and proxies the internal recording service response, including any Set-Cookie headers from that service. - [Create a new interview](https://ai-recruiter.micro1.ai/api-reference/interview/create-a-new-interview.md): This endpoint creates a new interview, returns a unique interview ID and a corresponding interview URL. You can send this URL to candidates, add it to a job post or alternatively, use the invite candidate endpoint to send invitations for the interview. - [Create a new interview (custom questions)](

{ "openapi": "3.0.3", "components": { "schemas": { "1c4bf13b-ae82-4085-9b3e-e87c2c62fb92": { "title": "CreateInterviewRequest", "description": "Request to create an interview", "type": "object", "required": [ "interview_name" ], "properties": { "interview_name": { "type": "string", "description": "Name of the interview", "example": "Full Stack Engineer Interview" },