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# 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.
- [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)](https://ai-recruiter.micro1.ai/api-reference/interview/create-a-new-interview-custom-questions.md): This endpoint creates a new interview with only custom questions, 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 endpo
OpenAPI Spec (preview)
{
"openapi": "3.0.3",
"components": {
"schemas": {
"7cd5057f-8de5-4987-b661-ce5b16458ada": {
"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"
},
"skills": {