ResumeScore AI
收藏ResumeScore AI 数据集概述
基本信息
- API名称: ResumeScore AI
- 类别: Jobs
- 订阅计划:
- BASIC: $0.00 / mo
- PRO: $9.00 / mo
- ULTRA: $29.00 / mo
- MEGA: $99.00 / mo
功能概述
- 核心功能: AI驱动的简历评分API,用于招聘者和招聘平台。
- 主要用途: 分析候选人的简历与职位描述的匹配度,返回详细的匹配分数、技能匹配分析、优势、关注点及面试官笔记。
- 适用场景: ATS系统、HR平台、招聘团队及自动化候选人排名。
主要特性
- 输入格式支持: PDF, DOCX, 或原始简历文本。
- 匹配分析: 针对任何职位描述进行匹配。
- 评分系统:
- 0–100匹配分数及分级。
- 子分数: 经验、技能、资历、行业、教育及软技能。
- 分析报告:
- 优势与关注点分析。
- 面试官问题建议。
- 风险标志(如就业空白期、频繁跳槽等)。
- 输出格式: 优化的JSON格式,适用于仪表盘和自动化。
技术细节
- 端点:
POST /resume/scorer/index.php - 必需参数:
job_title: 评估的职位名称。job_description: 完整的职位描述文本。
- 可选参数:
resume_text: 简历的纯文本版本。file: 上传的PDF, DOCX, 或TXT文件。
示例请求与响应
-
请求示例 (cURL): bash curl -X POST https://yourdomain.com/resume/scorer/index.php -F "job_title=Senior Backend Engineer" -F "job_description=We are looking for a backend engineer with..." -F "file=@resume.pdf"
-
响应示例 (JSON): json { "ok": true, "meta": { "version": "2025-12-01", "model": "gpt-4.1-mini", "job_title": "Senior Backend Engineer" }, "data": { "overall_score": 82, "score_band": "strong_fit", "sub_scores": { "experience_fit": 88, "skills_match": 84, "seniority_alignment": 75, "industry_alignment": 70, "education_alignment": 65, "soft_skills": 80 }, "verdict": "advance_to_interview", "summary": "The candidate shows strong alignment with backend engineering...", "top_strengths": [ "Experience with distributed systems", "Strong ownership demonstrated in previous roles" ], "concerns": [ "Limited leadership experience", "No recent cloud certifications" ], "notes_for_interviewer": [ "Ask about experience handling incident response", "Confirm level of contribution to prior architecture decisions" ], "risk_flags": [ "job_hopping" ] } }
提供商信息
- API创建者: chrisw
- 订阅者数量: 1
- 资源: Product Website




