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Fripr Technical Specification Document

Matching & Escrow Protocols

Discover the proprietary algorithms and secure trust engines that differentiate Fripr from traditional bidding portals.

Cognitive Matching Protocol (CMP)

Autonomous profile-to-brief similarity mapping

The Cognitive Matching Protocol (CMP) completely replaces traditional visual bidding systems with a direct, machine-learning-driven matching system. Clients publish project briefs, which are dynamically mapped to pre-verified freelancer showcase profiles using deep vector space modeling.

MATHEMATICAL ENGINE SPECIFICATION
Similarity Score (S) = Cosine( V_brief, V_freelancer ) * R_sprint
Where V_brief represents the high-dimensional TF-IDF/Vector embedding of the client project description, V_freelancer represents the aggregate vector of the freelancer's portfolios and verified skill clusters, and R_sprint represents the past milestone completion rate modifier (0.8 to 1.2 scale).

Bypasses Race-To-The-Bottom Bidding

Freelancers are highlighted to clients purely based on capability and past performance, securing premium compensation without toxic price undercutting.

Frictionless Automated Matching

Clients receive a curated stack of top 3 matched profiles within seconds of brief submission, reducing time-to-hire by over 90%.

Need specific protocol guidance?

For specific platform integrations, customized squad packages, or to review payment ledger audits, reach out directly to our help center.

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