{"passport":{"unfragile":{"@version":"1.0","version":"2026-05","artifact":{"id":"tool_hirematch","slug":"hirematch","name":"HireMatch","type":"product","url":"https://hirematch.app","page_url":"https://unfragile.ai/hirematch","categories":["app-builders"],"tags":[],"pricing":{"model":"free","free":true,"starting_price":null},"status":"active","verified":false},"capabilities":[{"id":"tool_hirematch__cap_0","uri":"capability://data.processing.analysis.resume.parsing.and.skill.extraction","name":"resume-parsing-and-skill-extraction","description":"Automatically extracts structured technical skills, experience levels, and certifications from unstructured resume documents using NLP-based entity recognition and domain-specific skill taxonomies. The system parses multiple resume formats (PDF, DOCX, plain text) and maps identified skills against a curated IT skills database to normalize variations in skill naming (e.g., 'JS' → 'JavaScript', 'React.js' → 'React'). This enables consistent skill representation across candidate profiles regardless of how candidates describe their experience.","intents":["I want to automatically extract technical skills from candidate resumes without manual data entry","I need to normalize skill names across different resume formats and candidate backgrounds","I want to identify skill gaps and proficiency levels from resume text"],"best_for":["Recruiting teams processing 50+ resumes per week","Organizations hiring across multiple technical domains (backend, frontend, DevOps, etc.)","Startups lacking dedicated technical recruiters to manually screen resumes"],"limitations":["Resume parsing accuracy degrades with non-standard formatting, handwritten sections, or image-embedded content","May miss emerging technologies or niche skills not in the training taxonomy","Cannot infer skill proficiency levels from resume text alone — relies on keyword presence rather than demonstrated expertise","Struggles with candidates from non-traditional backgrounds where skills are described narratively rather than listed explicitly"],"requires":["Resume files in PDF, DOCX, or plain text format","IT-focused skill taxonomy (built into HireMatch)","Minimum 200-300 character resume content for reliable extraction"],"input_types":["PDF documents","DOCX documents","plain text","resume text blocks"],"output_types":["structured JSON with skill arrays","normalized skill tags with confidence scores","experience duration estimates","certification identifiers"],"categories":["data-processing-analysis","recruitment-automation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_hirematch__cap_1","uri":"capability://search.retrieval.semantic.candidate.job.matching","name":"semantic-candidate-job-matching","description":"Matches candidate profiles against job descriptions using semantic similarity scoring rather than keyword-only matching, leveraging embeddings-based vector search to identify candidates whose skill combinations and experience patterns align with role requirements even when terminology differs. The system encodes both job requirements and candidate skills into a shared embedding space, then computes cosine similarity scores to rank candidates by relevance. This enables matching candidates with 'REST API development' experience to 'HTTP service architecture' roles despite different terminology.","intents":["I want to find candidates whose skills match a job description even if they use different terminology","I need to rank candidates by relevance to a specific technical role","I want to identify candidates with transferable skills for roles they haven't explicitly listed"],"best_for":["Recruiters filling specialized technical roles (ML engineers, cloud architects, security engineers)","Teams with diverse candidate pools using varied skill descriptions","Organizations seeking to reduce bias from keyword-matching-only approaches"],"limitations":["Semantic matching can produce false positives if candidate descriptions are vague or misleading","Requires sufficient job description detail to generate meaningful embeddings — single-line role summaries produce poor matches","No understanding of seniority level or years-of-experience requirements beyond what's explicitly stated","Cannot distinguish between 'has used X' and 'is expert in X' — treats all skill mentions equally"],"requires":["Job description with minimum 150 words of technical requirements","Candidate profiles with extracted skills (from resume-parsing capability)","Pre-trained embedding model (built into HireMatch, likely based on transformer architecture)"],"input_types":["job description text","candidate skill profiles (structured)","experience descriptions"],"output_types":["match score (0-100)","ranked candidate list","skill alignment breakdown","missing skill gaps"],"categories":["search-retrieval","recruitment-automation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_hirematch__cap_2","uri":"capability://planning.reasoning.automated.candidate.screening.and.ranking","name":"automated-candidate-screening-and-ranking","description":"Automatically screens candidate profiles against job requirements using a multi-factor ranking algorithm that combines skill match scores, experience level assessment, and requirement fulfillment. The system generates a ranked candidate list with scoring breakdowns, allowing recruiters to focus on top-matched candidates rather than manually reviewing all submissions. Scoring factors include skill match percentage, years of relevant experience, presence of required certifications, and cultural fit indicators extracted from resume text.","intents":["I want to automatically rank candidates by fit for a specific role without manual review","I need to identify the top 10-20 candidates from a pool of 100+ applicants","I want to understand why a candidate was ranked high or low for a position"],"best_for":["Recruiting teams processing high-volume applicant pools (50+ candidates per role)","Organizations with limited recruiting staff wanting to automate initial screening","Technical hiring managers seeking objective, data-driven candidate ranking"],"limitations":["Ranking algorithm weights are opaque — recruiters cannot customize scoring factors without platform changes","Cannot assess soft skills, communication ability, or cultural fit from resume text alone","May systematically disadvantage candidates with non-traditional backgrounds or career gaps","Free tier likely limits number of candidates that can be screened per month"],"requires":["Job description with clearly defined technical requirements","Candidate profiles with extracted skills and experience data","Minimum 5-10 candidate profiles for meaningful ranking differentiation"],"input_types":["job requirements (structured or text)","candidate profiles (structured)","skill match scores from semantic-matching capability"],"output_types":["ranked candidate list","match score per candidate","scoring breakdown (skill match %, experience match %, etc.)","candidate recommendation tier (top, strong, moderate, weak)"],"categories":["planning-reasoning","recruitment-automation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_hirematch__cap_3","uri":"capability://data.processing.analysis.job.requirement.analysis.and.normalization","name":"job-requirement-analysis-and-normalization","description":"Analyzes job descriptions to extract and normalize technical requirements, desired skills, and experience criteria into a structured format that can be compared against candidate profiles. The system uses NLP to identify required vs. nice-to-have skills, infers seniority level from language patterns (e.g., 'lead', 'senior', 'principal'), and maps skill requirements to the IT skills taxonomy. This normalization enables consistent matching across different job descriptions that may use different terminology for similar roles.","intents":["I want to extract structured skill requirements from a job description","I need to identify required vs. optional skills for a role","I want to standardize job requirements across multiple open positions"],"best_for":["Recruiting teams managing multiple open IT roles with varying requirement descriptions","Organizations seeking to standardize job descriptions across departments","Teams building internal recruiting analytics on skill demand"],"limitations":["Requires well-written job descriptions — poorly structured or vague descriptions produce incomplete requirement extraction","Cannot infer unstated requirements (e.g., 'must work in startup environment' is cultural, not technical)","May misclassify nice-to-have skills as required if language is ambiguous","Seniority level inference is heuristic-based and may be inaccurate for non-standard role titles"],"requires":["Job description text with minimum 200 words","IT skills taxonomy (built into HireMatch)","Structured job posting format (title, description, requirements section)"],"input_types":["job description text","job title","requirements section"],"output_types":["structured skill requirements array","required vs. optional skill classification","inferred seniority level","experience duration requirements","normalized job category"],"categories":["data-processing-analysis","recruitment-automation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_hirematch__cap_4","uri":"capability://search.retrieval.candidate.database.search.and.filtering","name":"candidate-database-search-and-filtering","description":"Provides search and filtering capabilities across candidate profiles using multiple dimensions: skill tags, experience level, location, years of experience, certifications, and custom attributes. The system supports both keyword search (matching against resume text and extracted skills) and structured filtering (e.g., 'Python AND (AWS OR GCP) AND 5+ years experience'). Search results are ranked by relevance using the semantic matching engine, allowing recruiters to discover candidates matching specific criteria without manual review of all profiles.","intents":["I want to search for candidates with specific skill combinations","I need to filter candidates by experience level and location","I want to find passive candidates matching a job description from my existing database"],"best_for":["Recruiting teams with existing candidate databases (100+ profiles)","Organizations conducting ongoing recruitment with recurring role requirements","Teams seeking to leverage passive candidate pools for hard-to-fill roles"],"limitations":["Free tier likely limits database size (e.g., max 500-1000 candidate profiles)","Search is limited to candidates already in the database — does not source new candidates from external job boards","Filtering accuracy depends on quality of resume parsing and skill extraction","No built-in deduplication — duplicate candidate profiles may appear in search results"],"requires":["Candidate profiles with extracted skills (from resume-parsing capability)","Minimum 10-20 candidate profiles for meaningful search results","Search query with specific skill names or experience criteria"],"input_types":["search query (text or structured filters)","skill filter arrays","experience level ranges","location filters"],"output_types":["ranked candidate list","match relevance scores","candidate profile summaries","skill match highlights"],"categories":["search-retrieval","recruitment-automation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_hirematch__cap_5","uri":"capability://data.processing.analysis.bulk.candidate.import.and.profile.creation","name":"bulk-candidate-import-and-profile-creation","description":"Enables bulk import of candidate data from multiple sources (resume uploads, CSV files, LinkedIn profiles) and automatically creates structured candidate profiles by parsing resumes and extracting skills, experience, and contact information. The system supports batch processing of 10-100+ resumes in a single operation, automatically normalizing data and populating candidate profiles without manual data entry. Imported candidates are immediately searchable and matchable against open positions.","intents":["I want to import a batch of resumes and automatically create candidate profiles","I need to migrate candidate data from an existing ATS or spreadsheet","I want to quickly populate my candidate database from a job board export"],"best_for":["Recruiting teams migrating from legacy ATS systems","Organizations conducting bulk hiring campaigns","Teams with existing candidate spreadsheets or resume collections"],"limitations":["Bulk import speed depends on resume parsing accuracy — complex or poorly formatted resumes slow the process","Free tier likely limits import frequency or batch size (e.g., max 50 resumes per month)","No built-in duplicate detection — importing the same candidate twice creates duplicate profiles","CSV import requires specific column format — non-standard spreadsheets require manual reformatting"],"requires":["Resume files (PDF, DOCX, or text) or CSV with candidate data","Valid email addresses for candidate contact (optional but recommended)","Batch size within platform limits (likely 10-100 resumes per import)"],"input_types":["resume files (PDF, DOCX, text)","CSV files with candidate data","LinkedIn profile URLs (if supported)"],"output_types":["created candidate profiles (structured)","import success/failure report","data quality summary","duplicate detection warnings"],"categories":["data-processing-analysis","automation-workflow"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_hirematch__cap_6","uri":"capability://memory.knowledge.candidate.profile.management.and.enrichment","name":"candidate-profile-management-and-enrichment","description":"Provides a centralized interface for viewing, editing, and enriching candidate profiles with additional information beyond resume data. Recruiters can manually add notes, update skill assessments, record interview feedback, and track candidate status (applied, screening, interview, offer, hired, rejected). The system maintains a complete candidate history including all interactions, allowing recruiters to track candidate progression through the hiring pipeline and revisit candidates for future roles.","intents":["I want to view a complete candidate profile with all extracted information and recruiter notes","I need to update candidate information and track their status through the hiring pipeline","I want to add interview feedback and assessment notes to a candidate profile"],"best_for":["Recruiting teams managing ongoing hiring pipelines","Organizations conducting multiple rounds of interviews","Teams seeking to maintain institutional knowledge about candidates"],"limitations":["Manual note-taking and status updates are not automated — requires recruiter action","No built-in collaboration features — multiple recruiters cannot simultaneously edit a profile","Free tier likely limits profile storage or historical data retention","No integration with calendar or email systems — interview scheduling requires manual coordination"],"requires":["Candidate profile created in HireMatch","User account with recruiter permissions","Access to candidate contact information"],"input_types":["candidate profile data","recruiter notes (text)","interview feedback (text or structured)","status updates"],"output_types":["updated candidate profile","candidate history timeline","status tracking","recruiter notes and feedback"],"categories":["memory-knowledge","recruitment-automation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_hirematch__cap_7","uri":"capability://text.generation.language.job.posting.creation.and.requirement.templating","name":"job-posting-creation-and-requirement-templating","description":"Provides templates and guided workflows for creating job postings with standardized technical requirement sections. The system suggests relevant skills and experience criteria based on job title and seniority level, helping recruiters create consistent, well-structured job descriptions that extract cleanly during requirement analysis. Templates include sections for required skills, nice-to-have skills, experience requirements, and compensation ranges, with pre-populated suggestions from the IT skills taxonomy.","intents":["I want to create a job posting with standardized technical requirements","I need to ensure job descriptions are structured for accurate requirement extraction","I want to reuse job templates across multiple similar roles"],"best_for":["Recruiting teams creating multiple similar technical roles","Organizations seeking to standardize job description quality","Teams new to technical hiring wanting guidance on requirement specification"],"limitations":["Templates may not fit non-standard or highly specialized roles","Suggested skills are generic — may not capture unique requirements for specific companies or teams","No integration with job board posting systems — job descriptions must be manually copied to external platforms","Free tier likely limits number of job postings or templates"],"requires":["Job title and seniority level","Basic role description","Access to IT skills taxonomy (built into HireMatch)"],"input_types":["job title","seniority level","role description","custom skill requirements"],"output_types":["structured job posting","requirement sections (required, nice-to-have)","skill suggestions","job description template"],"categories":["text-generation-language","recruitment-automation"],"confidence":0.5,"matches":0,"success_rate":0},{"id":"tool_hirematch__cap_8","uri":"capability://data.processing.analysis.hiring.pipeline.analytics.and.reporting","name":"hiring-pipeline-analytics-and-reporting","description":"Generates analytics and reports on recruiting metrics including time-to-hire, candidate source effectiveness, skill demand trends, and hiring funnel conversion rates. The system tracks candidates through pipeline stages (applied → screening → interview → offer → hired) and calculates metrics like average time per stage, drop-off rates, and hiring success by skill category. Reports can be filtered by job title, date range, or hiring manager, providing visibility into recruiting efficiency and bottlenecks.","intents":["I want to understand how long it takes to fill technical roles on average","I need to identify bottlenecks in my hiring pipeline","I want to track which skills are most in-demand or hardest to fill"],"best_for":["Recruiting teams seeking to optimize hiring efficiency","Organizations tracking recruiting KPIs and metrics","Hiring managers wanting visibility into pipeline status"],"limitations":["Analytics are only as good as data quality — incomplete candidate status tracking produces unreliable metrics","Free tier likely limits historical data retention (e.g., 90 days of analytics)","No predictive analytics — reports are historical only, not forward-looking","Cannot track external factors (market conditions, competing offers) that affect hiring speed"],"requires":["Minimum 20-30 candidates in pipeline for meaningful analytics","Consistent candidate status tracking throughout hiring process","Historical data from at least 2-4 weeks of recruiting activity"],"input_types":["candidate pipeline data","status tracking history","hiring dates and outcomes","job posting data"],"output_types":["time-to-hire metrics","pipeline conversion rates","skill demand reports","hiring funnel visualization","bottleneck identification"],"categories":["data-processing-analysis","recruitment-automation"],"confidence":0.5,"matches":0,"success_rate":0}],"trust":{"score":41,"verified":false,"data_access_risk":"high","permissions":["Resume files in PDF, DOCX, or plain text format","IT-focused skill taxonomy (built into HireMatch)","Minimum 200-300 character resume content for reliable extraction","Job description with minimum 150 words of technical requirements","Candidate profiles with extracted skills (from resume-parsing capability)","Pre-trained embedding model (built into HireMatch, likely based on transformer architecture)","Job description with clearly defined technical requirements","Candidate profiles with extracted skills and experience data","Minimum 5-10 candidate profiles for meaningful ranking differentiation","Job description text with minimum 200 words"],"failure_modes":["Resume parsing accuracy degrades with non-standard formatting, handwritten sections, or image-embedded content","May miss emerging technologies or niche skills not in the training taxonomy","Cannot infer skill proficiency levels from resume text alone — relies on keyword presence rather than demonstrated expertise","Struggles with candidates from non-traditional backgrounds where skills are described narratively rather than listed explicitly","Semantic matching can produce false positives if candidate descriptions are vague or misleading","Requires sufficient job description detail to generate meaningful embeddings — single-line role summaries produce poor matches","No understanding of seniority level or years-of-experience requirements beyond what's explicitly stated","Cannot distinguish between 'has used X' and 'is expert in X' — treats all skill mentions equally","Ranking algorithm weights are opaque — recruiters cannot customize scoring factors without platform changes","Cannot assess soft skills, communication ability, or cultural fit from resume text alone","builder identity is not verified yet","no observed match outcomes yet"],"rank_breakdown":{"adoption":0.36666666666666664,"quality":0.7300000000000001,"ecosystem":0.15000000000000002,"match_graph":0.25,"freshness":0.75,"weights":{"adoption":0.25,"quality":0.25,"ecosystem":0.1,"match_graph":0.35,"freshness":0.05}},"observed_outcomes":{"matches":0,"success_rate":0,"avg_confidence":0,"top_intents":[],"last_matched_at":null},"maintenance":{"status":"active","updated_at":"2026-05-24T12:16:30.893Z","last_scraped_at":"2026-04-05T13:23:42.552Z","last_commit":null},"community":{"stars":null,"forks":null,"weekly_downloads":null,"model_downloads":null,"model_likes":null}},"distribution":{"claim_url":"https://unfragile.ai/submit?claim=hirematch","compare_url":"https://unfragile.ai/compare?artifact=hirematch"}},"signature":"vn1ZkwKu3rbjmys4aZoDvH5QnuKS5p0DSWw4Rqbm4iEVPhGMV6NkDbxd1OZwCg6q7ah23/ZiSBZkwCVHVhcxAQ==","signedAt":"2026-06-20T10:42:34.140Z","signedBy":"unfragile.ai","version":1},"_links":{"self":"https://unfragile.ai/api/v1/passport/hirematch","artifact":"https://unfragile.ai/hirematch","verify":"https://unfragile.ai/api/v1/verify?slug=hirematch","publicKey":"https://unfragile.ai/api/v1/trust-passport-public-key","spec":"https://unfragile.ai/trust","schema":"https://unfragile.ai/schema.json","docs":"https://unfragile.ai/docs"}}