Get all completed reports

GET

interview

reports

curl --request GET \
  --url https://public.api.micro1.ai/interview/reports \
  --header 'x-api-key: <api-key>'

{
  "status": true,
  "message": "<string>",
  "data": [
    {
      "report_id": "h0gqkAcaDJ",
      "interview_id": "123e4567-e89b-12d3-a456-426614174000",
      "interview_name": "Full Stack Engineer Interview",
      "candidate_id": "123e4567-e89b-12d3-a456-426614174000",
      "job_applicant_id": "123e4567-e89b-12d3-a456-426614174000",
      "ats_job_application_id": "123e4567-e89b-12d3-a456-426614174000",
      "ats_job_id": "123e4567-e89b-12d3-a456-426614174000",
      "candidate_name": "John Doe",
      "candidate_email_id": "[email protected]",
      "report_date": "2024-01-01",
      "report_url": "https://micro1.ai/report/h0gqkAcaDJ.pdf",
      "interview_recording_url": "https://micro1.ai/interview/h0gqkAcaDJ.m3u8",
      "interview_recording_player_url": "https://client.micro1.ai/ai-interview-video/abcxyz?id=123e4567-e89b-12d3-a456-426614174000",
      "proctoring_score": 85,
      "ai_match_score": 85,
      "proctoring_violations": [
        {
          "type": "tab_switch",
          "value": "3",
          "description": "3 tab switches detected, indicating multitasking or external searches."
        }
      ],
      "interview_transcript": [
        {
          "timestamp": 100,
          "role": "interviewer",
          "content": "Can you tell me about yourself?"
        }
      ],
      "technical_skills_evaluation": [
        {
          "skill": "React.js",
          "ai_evaluation": {
            "feedback": "Candidate has demonstrated a solid understanding of optimizing FastAPI performance.",
            "rating": "Senior"
          },
          "timestamp": 100
        }
      ],
      "soft_skills_evaluation": [
        {
          "skill": "Overall",
          "ai_evaluation": {
            "feedback": "Candidate demonstrated clear and organized thoughts throughout the interview, effectively addressing each question with relevant examples and explanations.",
            "rating": "B1"
          }
        }
      ],
      "coding_skills_evaluation": {
        "feedback": "The candidate has demonstrated a good understanding of the problem",
        "rating": "Senior"
      },
      "custom_exercise_evaluation": {
        "feedback": "The candidate displayed a strong grasp of the custom exercise requirements and solved the problem effectively.",
        "rating": "Senior"
      },
      "custom_question_evaluation": [
        {
          "question_text": "Are you willing to relocate?",
          "answer_text": "Yes, I am willing to relocate",
          "ai_evaluation": {
            "feedback": "Candidate is willing to relocate with a 20% chance",
            "rating": "Great answer"
          }
        }
      ],
      "date_created": "2021-01-01 00:00:00",
      "date_modified": "2021-01-01 00:00:00",
      "status": "active"
    }
  ]
}

Authorizations

x-api-key

string

header

required

API key to access the API

Query Parameters

page

integer

Page number

limit

integer

Number of items per page

keyword

string

Keyword to search for

interview_id

string

ID of the interview

candidate_id

string

ID of the candidate

Response

Successful response

status

boolean

Status of the response

message

string

Message of the response

data

Report · object[]

Data of the response

Show child attributes

data.report_id

string

ID of the report

Example:

"h0gqkAcaDJ"

data.interview_id

string

ID of the interview

Example:

"123e4567-e89b-12d3-a456-426614174000"

data.interview_name

string

Name of the interview

Example:

"Full Stack Engineer Interview"

data.candidate_id

string

ID of the candidate

Example:

"123e4567-e89b-12d3-a456-426614174000"

data.job_applicant_id

string

Optional ID of the job applicant, present only if linked to a job applicant

Example:

"123e4567-e89b-12d3-a456-426614174000"

data.ats_job_application_id

string | null

ID of the job application in external connected ATS

Example:

"123e4567-e89b-12d3-a456-426614174000"

data.ats_job_id

string | null

ID of the job in external connected ATS

Example:

"123e4567-e89b-12d3-a456-426614174000"

data.candidate_name

string

Name of the candidate

Example:

"John Doe"

data.candidate_email_id

string

Email of the candidate

Example:

"[email protected]"

data.report_date

string

Date of the interview

Example:

"2024-01-01"

data.report_url

string

URL of the report

Example:

"https://micro1.ai/report/h0gqkAcaDJ.pdf"

data.interview_recording_url

string

Direct URL of the interview recording. Use HLS (HTTP Live Streaming) library to play the interview video

Example:

"https://micro1.ai/interview/h0gqkAcaDJ.m3u8"

data.interview_recording_player_url

string

URL to view the interview recording in micro1's web player interface

Example:

"https://client.micro1.ai/ai-interview-video/abcxyz?id=123e4567-e89b-12d3-a456-426614174000"

data.proctoring_score

number

Proctoring score of the candidate

Example:

85

data.ai_match_score

number

AI match score of the candidate

Example:

85

data.proctoring_violations

object[]

List of proctoring violations

Show child attributes

data.proctoring_violations.type

enum<string>

Type of the violation

Available options:

tab_switch,

eye_movement,

ai_classifier

Example:

"tab_switch"

data.proctoring_violations.value

string

Value of the violation (number / percentage)

Example:

"3"

data.proctoring_violations.description

string

Description of the violation

Example:

"3 tab switches detected, indicating multitasking or external searches."

data.interview_transcript

object[]

Transcript of the interview

Show child attributes

data.interview_transcript.timestamp

number | null

Timestamp of the transcript in seconds

Example:

100

data.interview_transcript.role

enum<string>

Role of the transcript

Available options:

interviewer,

user

Example:

"interviewer"

data.interview_transcript.content

string

Text of the transcript

Example:

"Can you tell me about yourself?"

data.technical_skills_evaluation

object[]

Evaluation of the technical/non-technical skills

Show child attributes

data.technical_skills_evaluation.skill

string

Name of the skill

Example:

"React.js"

data.technical_skills_evaluation.ai_evaluation

object

Evaluation of the skill by AI

Show child attributes

data.technical_skills_evaluation.ai_evaluation.feedback

string

Feedback of the skill

Example:

"Candidate has demonstrated a solid understanding of optimizing FastAPI performance."

data.technical_skills_evaluation.ai_evaluation.rating

enum<string>

Evaluation of the skill

Available options:

Not experienced,

Junior,

Mid-level,

Senior

Example:

"Senior"

data.technical_skills_evaluation.timestamp

number | null

Timestamp in seconds when this specific skill evaluation started in the interview

Example:

100

data.soft_skills_evaluation

object[]

Evaluation of the soft skills

Show child attributes

data.soft_skills_evaluation.skill

string

Name of the soft skill

Example:

"Overall"

data.soft_skills_evaluation.ai_evaluation

object

Evaluation of the soft skill by AI

Show child attributes

data.soft_skills_evaluation.ai_evaluation.feedback

string

Feedback of the soft skill

Example:

"Candidate demonstrated clear and organized thoughts throughout the interview, effectively addressing each question with relevant examples and explanations."

data.soft_skills_evaluation.ai_evaluation.rating

enum<string>

Rating of the soft skill. For English language interviews, rating follows CEFR levels (A1 to C2). For other languages, rating ranges from Not Experienced to Excellent

Available options:

A1,

A2,

B1,

B2,

C1,

C2,

Not Experienced,

Below Average,

Average,

Good,

Excellent

Example:

"B1"

data.coding_skills_evaluation

object

Evaluation of the coding skills

Show child attributes

data.coding_skills_evaluation.feedback

string

Feedback of the coding skills

Example:

"The candidate has demonstrated a good understanding of the problem"

data.coding_skills_evaluation.rating

enum<string>

Rating of the coding skills

Available options:

Not experienced,

Junior,

Mid-level,

Senior

Example:

"Senior"

data.custom_exercise_evaluation

object

Evaluation of the custom exercise

Show child attributes

data.custom_exercise_evaluation.feedback

string

Feedback of the custom exercise

Example:

"The candidate displayed a strong grasp of the custom exercise requirements and solved the problem effectively."

data.custom_exercise_evaluation.rating

enum<string>

Rating of the custom exercise

Available options:

Not experienced,

Junior,

Mid-level,

Senior

Example:

"Senior"

data.custom_question_evaluation

object[]

Evaluation of the custom questions

Show child attributes

data.custom_question_evaluation.question_text

string

Question of the custom question

Example:

"Are you willing to relocate?"

data.custom_question_evaluation.answer_text

string

Answer of the custom question

Example:

"Yes, I am willing to relocate"

data.custom_question_evaluation.ai_evaluation

object

Evaluation of the custom question by AI

Show child attributes

data.custom_question_evaluation.ai_evaluation.feedback

string

Feedback of the custom question

Example:

"Candidate is willing to relocate with a 20% chance"

data.custom_question_evaluation.ai_evaluation.rating

enum<string>

Rating of the custom question

Available options:

Not an impressive answer,

Average answer,

Good answer,

Great answer

Example:

"Great answer"

data.date_created

string

Date created of the report

Example:

"2021-01-01 00:00:00"

data.date_modified

string

Date modified of the report

Example:

"2021-01-01 00:00:00"

data.status

string

Status of the report

Example:

"active"

Get a mock interviewThis endpoint retrieves a sample interview question based on the provided skills and their descriptions. It helps you understand the type of questions tailored by AI interviews based on the skills provided.

⌘I

Get all completed reports

curl --request GET \
  --url https://public.api.micro1.ai/interview/reports \
  --header 'x-api-key: <api-key>'

{
  "status": true,
  "message": "<string>",
  "data": [
    {
      "report_id": "h0gqkAcaDJ",
      "interview_id": "123e4567-e89b-12d3-a456-426614174000",
      "interview_name": "Full Stack Engineer Interview",
      "candidate_id": "123e4567-e89b-12d3-a456-426614174000",
      "job_applicant_id": "123e4567-e89b-12d3-a456-426614174000",
      "ats_job_application_id": "123e4567-e89b-12d3-a456-426614174000",
      "ats_job_id": "123e4567-e89b-12d3-a456-426614174000",
      "candidate_name": "John Doe",
      "candidate_email_id": "[email protected]",
      "report_date": "2024-01-01",
      "report_url": "https://micro1.ai/report/h0gqkAcaDJ.pdf",
      "interview_recording_url": "https://micro1.ai/interview/h0gqkAcaDJ.m3u8",
      "interview_recording_player_url": "https://client.micro1.ai/ai-interview-video/abcxyz?id=123e4567-e89b-12d3-a456-426614174000",
      "proctoring_score": 85,
      "ai_match_score": 85,
      "proctoring_violations": [
        {
          "type": "tab_switch",
          "value": "3",
          "description": "3 tab switches detected, indicating multitasking or external searches."
        }
      ],
      "interview_transcript": [
        {
          "timestamp": 100,
          "role": "interviewer",
          "content": "Can you tell me about yourself?"
        }
      ],
      "technical_skills_evaluation": [
        {
          "skill": "React.js",
          "ai_evaluation": {
            "feedback": "Candidate has demonstrated a solid understanding of optimizing FastAPI performance.",
            "rating": "Senior"
          },
          "timestamp": 100
        }
      ],
      "soft_skills_evaluation": [
        {
          "skill": "Overall",
          "ai_evaluation": {
            "feedback": "Candidate demonstrated clear and organized thoughts throughout the interview, effectively addressing each question with relevant examples and explanations.",
            "rating": "B1"
          }
        }
      ],
      "coding_skills_evaluation": {
        "feedback": "The candidate has demonstrated a good understanding of the problem",
        "rating": "Senior"
      },
      "custom_exercise_evaluation": {
        "feedback": "The candidate displayed a strong grasp of the custom exercise requirements and solved the problem effectively.",
        "rating": "Senior"
      },
      "custom_question_evaluation": [
        {
          "question_text": "Are you willing to relocate?",
          "answer_text": "Yes, I am willing to relocate",
          "ai_evaluation": {
            "feedback": "Candidate is willing to relocate with a 20% chance",
            "rating": "Great answer"
          }
        }
      ],
      "date_created": "2021-01-01 00:00:00",
      "date_modified": "2021-01-01 00:00:00",
      "status": "active"
    }
  ]
}

Getting Started

Interview

Invite Candidate

Interview Reports

Mock Interview

Job

Job Applicant

Webhook

Get all completed reports

Authorizations

Query Parameters

Response