AI hiring intelligence, delivered through your product.

Integrate QuillBio's hiring intelligence directly into your platform. resumeQ brings structured resume analysis and job matching into your workflow, while interviewQ powers complete AI-conducted interviews and evaluation.

QuillBio's team issues API keys after access is approved. Send your key using the X-API-Key header.

X-API-Key: YOUR_API_KEY

1. 1Request API access.
2. 2Receive an API key from QuillBio.
3. 3Store the API key securely on your backend.
4. 4Call the QuillBio API.
5. 5Render the returned intelligence inside your product.

Use the metadata endpoint to confirm access and discover current capabilities and limits.

curl https://api.quillbio.example/resumeiq/meta \
  -H "X-API-Key: $KEY"

resumeQ evaluates a resume against a job description and returns a 0–100 match score, structured candidate profile, education, experience, projects, skills, technical stack, domain skills, keyword coverage and gaps, strengths, missing skills, risk flags, score explanation, resume score, parse confidence and warnings.

Retrieve current resumeQ limits and metadata. Use this response as the source of truth.

Send a PDF or DOCX—or pre-extracted text—with a required job description using multipart/form-data.

curl -X POST https://api.quillbio.example/resumeiq/evaluate \
  -H "X-API-Key: $KEY" \
  -F resume=@candidate.pdf \
  -F jd_text="Backend Engineer. Required: Python, FastAPI, PostgreSQL, Kubernetes." \
  -F use_llm=true

{
  "match_score": 71,
  "parsed_profile": {
    "name": "Priya Raghavan", "email": "priya@example.com",
    "education": [], "experience": [], "projects": [], "skills": [],
    "technical_stack": [], "domain_skills": []
  },
  "keyword_gaps": {
    "jd_keywords": [], "matched_keywords": [], "missing_keywords": [],
    "coverage_pct": 75
  },
  "explanation": {
    "strengths": [], "missing_skills": [], "risk_flags": [],
    "score_explanation": ""
  },
  "meta": {
    "match_score_source": "llm", "rubric_version": "1.5.0",
    "domain": "software", "resume_overall_score": 68.4,
    "parse_confidence": 0.94, "warnings": []
  }
}

Evaluate many resumes against a single job description. Processing is asynchronous and supports up to 500 resumes, 5 MB each and 500 MB combined.

{
  "batch_id": "batch_7fe2...",
  "status": "queued",
  "total_items": 120,
  "skipped": 0,
  "use_llm": true,
  "poll_url": "/resumeiq/evaluate/batch/batch_7fe2..."
}

Poll the returned URL to follow progress and retrieve results when complete.

interviewQ supports: Create → Start → Ask / Answer → End & Evaluate → Report.

Current types include coding, system_design, full_stack, ai_specialized, ai_engineering, behavioral and resume_based. Difficulty examples are standard, beginner, intermediate and advanced.

Do not hard-code these values. Use the metadata endpoint as the source of truth.

Returns available interview types, difficulties, scopes, limits, usage and branding.

curl https://api.quillbio.example/interviewiq/v1/meta \
  -H "X-API-Key: $KEY"

Creating a session is free. candidate.external_id is your candidate identifier. Resume context can ground behavioral and resume-based interviews.

{
  "interview_type": "behavioral",
  "difficulty": "intermediate",
  "duration": 30,
  "candidate": {
    "external_id": "user-4821",
    "name": "Priya R",
    "email": "priya@example.com"
  },
  "resume": {
    "skills": "Python, FastAPI, PostgreSQL",
    "projects": "Billing service migration",
    "education": "B.Tech CS, 2021"
  }
}

Starts the interview and returns the first question.

{
  "session_id": "6f1c...",
  "status": "in_progress",
  "question": {
    "id": "a93f...",
    "text": "Tell me about a project you owned end to end.",
    "format": "text",
    "question_number": 1
  }
}

Returns the next question. Use is_complete to determine when the sequence has finished.

{
  "question_id": "a93f...",
  "answer_text": "I led the migration..."
}

Concludes the interview and generates a report. It can include overall, communication, technical, problem-solving, leadership and dimension scores; feedback, strengths, weaknesses, recommendations, improvement areas, question feedback and transcript; plus coding or supplied proctoring information where applicable.

Retrieve the evaluation after completion.

{
  "session_id": "6f1c...",
  "status": "completed",
  "overall_score": 82,
  "communication_score": 86,
  "technical_score": null,
  "problem_solving_score": 78,
  "leadership_score": 81,
  "feedback": "Strong, structured behavioral evidence.",
  "strengths": ["Clear ownership and measurable impact"],
  "weaknesses": ["Limited detail on technical trade-offs"],
  "recommendations": ["Probe architecture decisions"],
  "areas_for_improvement": ["Explain alternatives considered"],
  "question_feedback": [],
  "transcript": []
}

For spoken interviews, send audio to this session-scoped endpoint and feed the resulting text into /answer.

{
  "audio": "<base64-encoded-audio>"
}

{
  "text": "I built and shipped a billing service..."
}

Obtain actual client limits from the relevant /meta endpoint.

QuillBio-powered integrations include Powered by QuillBio attribution.

Integration questions, quota increases, scope changes and key issuance all go to the same inbox — a real person reads it.