{
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    "title": "Resume Parser + Job Match — CV to JSON with 0-100 score",
    "description": "Parse resumes and CVs (PDF, DOCX or text) into structured JSON: contact, job titles, work history, education, skills. Optionally score each one 0-100 against a job posting with a breakdown. No LLM; resume content is never logged. $0.005 per resume.",
    "version": "0.1",
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  },
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          "Run Actor"
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        "operationId": "run-sync-keith-apis-resume-parser-job-match",
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  "components": {
    "schemas": {
      "inputSchema": {
        "type": "object",
        "required": [
          "resumes"
        ],
        "properties": {
          "resumes": {
            "title": "Resumes",
            "type": "array",
            "description": "One item per resume: {\"text\": \"...\"} for plain text, or {\"url\": \"https://...\"} for a PDF, DOCX or TXT file (max 5 MB, text-based: no OCR). Optional \"id\" is copied to the output. A bare string also works (a URL or resume text). Up to 500 per run; charged per resume parsed, empty or unreadable ones are skipped and not charged.",
            "default": [
              {
                "id": "candidate-001",
                "text": "Alex Morgan\nSenior Backend Engineer\nalex.morgan@example.com | +1 555 0100 | Austin, TX, USA\n\nSUMMARY\nBackend engineer with nine years of experience building APIs and data pipelines in Python on AWS.\n\nEXPERIENCE\nSenior Backend Engineer, Acme Analytics\nJan 2021 - Present\n- Built Python and Django services on AWS, PostgreSQL and Redis\n- Moved deployments to Docker and Kubernetes\n\nSoftware Engineer, Contoso Labs\nJun 2017 - Dec 2020\n- Developed REST APIs in Python and Flask\n- Wrote data pipelines with SQL and Airflow\n\nEDUCATION\nBSc Computer Science, Example State University, 2013 - 2017\n\nSKILLS\nPython, Django, Flask, PostgreSQL, Redis, AWS, Docker, Kubernetes, SQL, Airflow"
              },
              {
                "id": "candidate-002",
                "text": "Sam Taylor\nMarketing Coordinator\nsam.taylor@example.com | London, UK\n\nEXPERIENCE\nMarketing Coordinator, Northwind Retail\nSep 2022 - Present\n- Ran email campaigns in HubSpot and reported results in Google Analytics\n- Managed social media calendars\n\nEDUCATION\nBA Marketing, Example University, 2019 - 2022\n\nSKILLS\nHubSpot, Google Analytics, SEO, Copywriting"
              }
            ]
          },
          "jobTitle": {
            "title": "Job title (optional)",
            "type": "string",
            "description": "Title of the job to score every resume against. Leave job fields empty to parse only."
          },
          "jobDescription": {
            "title": "Job description (optional)",
            "type": "string",
            "description": "Job posting text or HTML. Required skills and years of experience are read from it."
          },
          "jobLocation": {
            "title": "Job location (optional)",
            "type": "string",
            "description": "Location or remote policy as written in the posting, e.g. 'Remote - US' or 'London'. Used to check location eligibility."
          },
          "jobCompany": {
            "title": "Company (optional)",
            "type": "string",
            "description": "Hiring company name; removed from the job title if repeated there."
          }
        }
      },
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                "type": "string"
              },
              "userId": {
                "type": "string"
              },
              "startedAt": {
                "type": "string",
                "format": "date-time",
                "example": "2025-01-08T00:00:00.000Z"
              },
              "finishedAt": {
                "type": "string",
                "format": "date-time",
                "example": "2025-01-08T00:00:00.000Z"
              },
              "status": {
                "type": "string",
                "example": "READY"
              },
              "meta": {
                "type": "object",
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                  "origin": {
                    "type": "string",
                    "example": "API"
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                  "userAgent": {
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                }
              },
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                    "type": "integer",
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                    "type": "integer",
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                  "computeUnits": {
                    "type": "integer",
                    "example": 0
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              },
              "options": {
                "type": "object",
                "properties": {
                  "build": {
                    "type": "string",
                    "example": "latest"
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                  "timeoutSecs": {
                    "type": "integer",
                    "example": 300
                  },
                  "memoryMbytes": {
                    "type": "integer",
                    "example": 1024
                  },
                  "diskMbytes": {
                    "type": "integer",
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              },
              "buildId": {
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              "defaultKeyValueStoreId": {
                "type": "string"
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              "defaultDatasetId": {
                "type": "string"
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              "defaultRequestQueueId": {
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              "containerUrl": {
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