The I Pair U AI Service provides a suite of powerful AI-powered functionalities that drive the core matching and recommendation engines of the platform.
Our service uses advanced algorithms to analyze skills, experiences, and preferences to create optimal matches between talents and opportunities.
API Endpoints
Skill Matching
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POST /api/v1/skill_matching
Match skills between users and gigs, returning recommended users for a gig or recommended gigs for a user.
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POST /api/v1/skill_search
Search for skills in the inventory based on keywords.
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POST /api/v1/recommendation_engine
Generate skill recommendations based on input skills.
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POST /api/v1/profile_skills
Retrieve skills associated with a user profile.
Job Analysis
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POST /api/v1/job_description
Generate AI-powered job descriptions based on title, skills, and experience level.
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POST /api/v1/user_gig_similarity
Calculate similarity scores between users and gigs.
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POST /api/v1/bid_profiles_score
Score multiple bid profiles against a specific gig.
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POST /api/v1/cross_profile_kpi
Analyze KPIs across multiple user profiles.
AI Generation
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POST /api/v1/deliverables_generator
Generate deliverables for a gig based on requirements.
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POST /api/v1/job_title_relations
Find related job titles, seniority levels, and industry variants.
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POST /api/v1/skills_group
Group related skills into logical categories.
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POST /api/v1/parser
Parse resumes and extract structured information including skills and experience.
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POST /api/v1/user_review_generator
Generate personalized user reviews based on performance.
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POST /api/v1/wizard_skills
Extract skills from uploaded documents or text content.
Talent Management
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POST /api/v1/talent_pool_skills
Retrieve and analyze skills from a talent pool.
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POST /api/v1/ai_assistant/bidder_preview
Generate a preview analysis of a bidder for a project.
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POST /api/v1/ai_assistant/bidder_comparison
Compare multiple bidders for a project and provide recommendations.
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POST /api/v1/ai_pitch
Generate a personalized pitch for a user applying to a project.
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POST /api/v1/disc
Generate or retrieve DISC personality profiles for users.