Professional Consensus Network

Executive Summary

Vision

The Professional Consensus Network (PRC7NET) is a blockchain-native token ecosystem designed to transform professional recruitment, networking, and credential verification into a truly trustworthy, merit-driven market. Built on Solana, PRC7NET establishes a decentralized verification network where qualified professionals build verifiable reputations, provide peer-backed recommendations, and participate in consensus-driven validation of credentials—effectively eliminating the friction, fraud, and information asymmetry that plague traditional professional hiring and networking.

Inspiration & Origins

PRC7NET was born from hard-won experience in professional recruitment. As a seasoned software architect and hiring manager, the creator repeatedly encountered sophisticated fraud and manipulation from offshore outsourcing shops, credential fraudsters, and bad-faith actors masquerading as qualified professionals. Despite due diligence and reference checks, dishonest candidates slipped through—costing time, money, and team integrity.

This repeated frustration led to a critical realization: the problem is structural. Centralized hiring platforms and traditional reference systems lack the transparency, verification depth, and accountability mechanisms needed to prevent fraud at scale. The solution requires a decentralized, consensus-driven approach where the professional community itself becomes the guardian of integrity—making dishonesty economically unviable and reputationally catastrophic.

PRC7NET is the answer: a blockchain-native network where verified professionals collectively validate each other's qualifications, making the market resistant to manipulation, fraud, and unqualified imposters.

Core Goals

• Make professional recruitment and hiring truly professional and merit-driven
• Increase participant trust through transparent, immutable verification records
• Dramatically reduce hiring and collaboration risks via consensus-validated qualifications
• Eliminate unqualified scammers, fraudsters, and manipulators from the professional ecosystem

Main Technology: The Professional Consensus Network leverages Solana's Proof of History for immutable timestamping and employs human consensus-based evaluation to verify professional qualifications and skill levels, ensuring trustworthy credential validation through decentralized peer assessment.

Unlike traditional hiring platforms where credentials are centralized and vulnerable to fraud, PRC7NET implements a novel approach: private credentials stored locally with cryptographic proof on-chain. Only cryptographic hashes and digital signatures of professional achievements are recorded on the blockchain, ensuring privacy while maintaining an immutable verification trail.

Token Parameters

Parameter	Value	Purpose
Token Name	Professional Consensus Network	Official name
Token Symbol	PRC7NET	Trading symbol
Total Supply	88,888,888 PRC7NET	Fixed, immutable
Decimals	9	Solana standard
Network	Solana (Devnet & Mainnet)	Blockchain

1. Problem Statement

Current Hiring Ecosystem Challenges

2. Consensus-Driven Professional Verification Solution

2.1 The PRC7NET Approach: Decentralized Verification at Scale

PRC7NET introduces consensus-driven professional verification—a cryptographically secured, community-validated network where qualified professionals collectively validate each other's qualifications, making the market resistant to manipulation, fraud, and unqualified imposters.

2.2 Core Solution Mechanisms

2.3 Decentralized Storage of Professional Credentials

PRC7NET enables decentralized storage and verification of professional certificates, diplomas, and qualifications using a privacy-first, cryptographically secured approach powered by Solana's Proof of History consensus mechanism:

2.4 How Solana Proof of History Powers Decentralized Trust

Solana's Proof of History (PoH) is the cryptographic backbone that makes PRC7NET's decentralized credential verification possible:

• Immutable Timestamping: PoH creates a cryptographic proof that an event occurred at a specific moment in time, without requiring additional consensus rounds
• Ordering Guarantee: All credential hashes and approvals are ordered chronologically—impossible to reorder, backdate, or remove from the ledger
• Scalability: PoH enables high-throughput credential verification without sacrificing security or decentralization
• Cost Efficiency: Low transaction fees make credential verification economically viable at global scale
• Finality: Once a credential hash is recorded, it is final and irreversible—no reversal attacks possible

2.5 Key Benefits of the Consensus-Driven Approach

• Trust at Scale: Move beyond single-source references to multi-party consensus validation
• Risk Mitigation: Reduce hiring and collaboration risks through transparent, verified professional networks
• Market Efficiency: Match qualified talent with opportunities faster and with higher confidence
• Decentralized Governance: Community-driven verification replaces centralized gatekeepers
• Fraud Immunity: Economic and reputational mechanisms make deception unsustainable; bad actors are identified and excluded before causing harm
• Data Ownership: Professionals own their credentials and can carry them across platforms and companies
• Transparency: All approvals recorded on-chain, creating an immutable audit trail for employers and partners

3. Project Goals & Vision

2.1 Seven Interconnected Core Goals

4. Professional Category System

3.1 Category Structure

The PRC7NET system features a flexible category system where professionals can earn levels in specific skills or professions. Categories are defined by strings such as "Java", "Python", "Project Management", etc., and each category has an associated level from 0 to 100, indicating the professional's experience and skill level.

3.2 Category Levels

Each category level ranges from 0 to 100, where:

• 0-10: Beginner level, basic knowledge
• 11-30: Intermediate level, practical experience
• 31-60: Advanced level, significant expertise
• 61-90: Expert level, deep specialization
• 91-100: Master level, recognized authority

3.3 Category Grant Process

Example Career Path with Categories:
═══════════════════════════════════════════════

Professional: Software Developer
Categories:
├─ Java (Level 85)
│  ├─ Vote received: 45 (avg rating: 92/100)
│  ├─ Approvers: 9
│  ├─ Status: ✅ APPROVED
│
├─ Python (Level 72)
│  ├─ Vote received: 38 (avg rating: 88/100)
│  ├─ Approvers: 8
│  ├─ Status: ✅ APPROVED
│
├─ Project Management (Level 45)
│  ├─ Vote received: 22 (avg rating: 78/100)
│  ├─ Approvers: 7
│  ├─ Status: ✅ APPROVED
│
Result: Full professional history on blockchain
        Portable across employers
        Instantly verifiable by any recruiter

3.4 Category-Based Permissions

3.5 Rating Distribution Across Categories

Each professional can hold multiple category levels, each with its own rating:

Professional "Alice" Portfolio:
═════════════════════════════════════════

Developer Category (Level 20):
├─ Votes received: 142
├─ Average rating: 88/100
├─ Status: ✅ Approved
│
Blockchain Expert Category (Level 40):
├─ Votes received: 89
├─ Average rating: 91/100
├─ Status: ✅ Approved
│
Manager Category (Level 30):
├─ Votes received: 45
├─ Average rating: 82/100
├─ Status: ✅ Approved
│
Overall Network Reputation: Strong
Trustworthiness Score: 87/100
Fraud Risk: 3/100 (very low)

5. Smart Contract Rules and Validations

The ProfI-Coin smart contract implements comprehensive validation rules to ensure network integrity, prevent fraud, and maintain decentralized consensus. These rules are organized hierarchically from broad account checks to narrow vote-specific validations.

4.1 Key Constants and Parameters

Parameter	Value	Description
Decimals	9	Lamports per PRC7NET token
Minimum Balance to Join	10 PRC7NET	Required for user registration
Voting Balance Requirement	1,000 PRC7NET	Minimum balance to vote
Admin Percentage	1%	Admin fee on category grants
Voting Reward per Vote	0.1 PRC7NET	Reward for voting (implemented)

4.2 User Registration Rules

• Minimum balance: ≥ 10 PRC7NET (10,000,000,000 lamports)
• Voting enabled: false (enabled after first category grant)
• Joined timestamp: current timestamp

4.3 Category Grant Rules

• Authorized by: token holders with minimum balance (10 PRC7NET) or the program authority
• Level range: 1-100
• Voting enabled: set to true after first grant
• Timestamp: recorded at grant time

4.4 Category Request and Approval Rules

• Explicit approver list: provided by requester (size derived by on-chain bootstrap rules; 0..16, and exactly 7 for large groups)
• Fee escrow: requester pays upfront, approvers paid on vote
• Eligibility: approvers must have same category and higher level
• Region check: approvers must be in same region
• Security checks: cooldown, conflict of interest, quota limits
• Threshold: majority vote (floor(N/2) + 1), or unanimous when the request requires it
• Category Upgrade Delay: Users must wait 90 days (3 months) between category level upgrades within the same category to prevent rapid level inflation and maintain credential integrity
• Duplicate Request Prevention: Users cannot request the same category level they already possess or a lower level

4.5 Voting System Rules

• Eligibility: same category, voting enabled, minimum balance
• Region restrictions: same region, or level 100 exception
• Rating range: 0-100
• Duplicate prevention: one vote per approver per request
• Level calculation: 1 + (votes_received / 10), capped at 100

4.6 Graph and Circular Voting Detection

• Tarjan's algorithm for strongly connected components
• Cycle detection: SCC with >1 member flagged
• Risk scoring: based on cycle length and connectivity
• Quarantine: suspicious users flagged

6. Privacy & Security Model

5.1 Cryptographic Qualification Verification System (Solution 3)

The PRC7NET system implements a binary-hash verification model (Solution 3) that proves qualification document integrity and provenance without storing the document on-chain. Only a one-way hash (SHA-256) and minimal link metadata are recorded on-chain.

Cryptographic Qualification Verification (Solution 3):
═════════════════════════════════════════════════════════

Step 1: Document (On User Device)
─────────────────────────────────────────────
User has: "qualification_diploma.pdf" or "qualification_certificate.pdf" (or any binary file representing professional qualifications)

Step 2: Generate Cryptographic Proof
──────────────────────────────────────
Document Hash (expectedHash) = SHA256(document_binary)
                                                        = 32 bytes

Step 3: Blockchain Storage (Privacy-Preserving)
────────────────────────────────────────────────
Signer creates an on-chain link with:
{
    "link_id": "16 bytes",
    "expected_hash": "32 bytes",
    "signer_pubkey": "Solana public key",
    "created_at": "unix timestamp",
    "expires_at": "unix timestamp",
    "fee_amount_prc7net": "absolute amount, not a percentage",
    "is_revoked": false
}

✅ Original qualification document NEVER stored on blockchain
✅ Only hash and cryptographic proof on-chain
✅ Complete privacy with full verifiability

Step 4: Verification by Third Party (Employer / Verifier)
────────────────────────────────────────────────────────
1. Candidate shares the link_id (or URL containing it)
2. Verifier obtains the document from the candidate off-chain
3. Verifier computes providedHash = SHA256(received_file)
4. Verifier submits an on-chain verification transaction:
    - Pays fee_amount_prc7net (PRC7NET) to the treasury
    - Program compares providedHash to expected_hash
    - Program stores a verification record (who verified, when, match result)
5. Results are publicly auditable without exposing the document

5.1.1 Diploma Issuer Authority Integration with Solana Proof of History

The Professional Consensus Network will be integrated with diploma-issuing authorities to enable secure, timestamped storage of qualification documents using Solana's Proof of History (PoH) mechanism, where the same cryptographic verification algorithms are employed to confirm diploma correctness and validity. We are in the process of advertising PRC7NET token for these purposes.

Diploma Issuer Workflow

1. Document Issuance: Educational institutions or certification authorities create qualification documents (diplomas, certificates) and generate cryptographic hashes.
2. PoH Timestamping: The issuer submits the document hash to the Solana blockchain, where PoH generates an immutable timestamp proving the exact issuance time.
3. On-Chain Registration: The timestamped hash is stored on-chain, creating a permanent, verifiable record of document authenticity and issuance date.
4. Integration with PRC7NET: Users can link their PRC7NET verification links to these PoH-timestamped documents, providing multi-layered verification.

5.1.2 Mobile App Document Verification Flow (Complete)

This section describes the end-to-end process used by a mobile app to create, share, verify, revoke, and expire a verification link. The core principle is non-custodial transaction signing: every on-chain action is signed by the user’s wallet.

A) Create + Share (Signer)

1. Prepare the document: Select and prepare the qualification document for verification.
2. Configure verification settings: Set expiration date and verification fees as needed.
3. Create verification link: Generate a secure link through the application that contains the document's cryptographic proof.
4. Share the link: Send the verification link to the intended recipient (employer or verifier).

B) Verify + Pay (Verifier)

1. Fetch link metadata (optional): verifier can query the chain for expectedHash, expiresAt, isRevoked, and feeAmountPrc using a read-only endpoint.
2. Receive the document off-chain from the signer and compute providedHash = SHA256(fileBytes).
3. Build verification transaction: the API prepares an unsigned “verify” transaction that transfers feeAmountPrc PRC7NET from verifier to treasury and performs the on-chain hash comparison.
4. Sign and submit the transaction in the verifier’s wallet.
5. Read the result: the program records a verification event (participant, timestamp, and whether providedHash == expectedHash).

C) Revoke (Signer) - Implemented

1. The signer can revoke a link at any time by signing and submitting a “revoke link” transaction.
2. After revocation, verification attempts will fail on-chain with a revocation error.
3. Revoked links remain on-chain but are marked as invalid, maintaining audit trail integrity.

D) Expire (Automatic)

1. After expiresAt, the program rejects further verification attempts.
2. No document data is stored on-chain before or after expiry; only the hash and verification metadata exist.

5.2 Anti-Fraud: Graph-Based Circular Voting Detection

PRC implements sophisticated graph-based fraud detection to prevent organized fraud rings and collusive voting patterns:

Circular Voting Detection & Prevention:
═════════════════════════════════════════

Detection Method: Graph Analysis Algorithm
────────────────────────────────────────────
Monitor voting relationships as directed graph:

Alice (⊗) ──→ Bob (⊗) ──→ Charlie (⊗)
  ↑                        ↓
  └──────── Eve ←────── Diana

Analysis Steps:
1. Build directed graph of all vote relationships
2. Identify strongly connected components (voting circles)
3. Calculate circle score based on density and size
4. Flag when circle_score > threshold (3)
5. Auto-flag fraud risk and trigger review

Result: Ring Detection ✅ Fraud Prevention ✅

Example: 5-person fraud ring attempt
├─ Alice votes for Bob (fraudulent)
├─ Bob votes for Charlie (fraudulent)
├─ Charlie votes for Diana (fraudulent)
├─ Diana votes for Eve (fraudulent)
├─ Eve votes for Alice (fraudulent)
└─ DETECTED & BLOCKED ✅

5.3 Financial Integrity & Wash Trading Prevention

In addition to consensus validation, the PRC7NET ecosystem employs a specialized Token Transfer Analysis Engine to detect and prevent "Wash Trading"—the practice of artificially generating activity volume.

Financial Cycle Detection Algorithm:
════════════════════════════════════

Step 1: Transaction Scanning
─────────────────────────────
• System monitors SPL Token Transfers for the PRC7NET Mint
• Aggregates flow: Wallet A -> Wallet B (Amount match/time window)

Step 2: Cycle Identification
─────────────────────────────
• Detects closed loops: A sends to B, B sends to C, C sends to A
• Analyzes "boomerang" transactions: A sends to B, B returns to A

Step 3: Enforcement (Quarantine)
─────────────────────────────────
• Flagged wallets are added to the "Suspicious" list
• Smart Contract 'quarantined' flag is activated
• Token-2022 Transfer Hook automatically blocks future transfers

7. Token Economics & Fees

PRC7NET is a utility token used to participate in the network and to pay protocol fees for verification services. The system is designed to avoid interest-bearing mechanics and focuses on pay-for-service flows that can be audited on-chain.

6.1 Fee Overview

Fee Type	Payer	Amount Model	Destination / On-chain Effect
Category Request Fee	Requester	Configured in the on-chain token economy configuration	Funds consensus operations (e.g., treasury and incentive routing)
Document Verification Fee (Solution 3)	Verifier	Fixed PRC7NET amount per link (not a percentage)	Transferred to the treasury during verification

6.2 Category Request Fee Model

6.3 Document Verification Fee Model (Solution 3)

8. Real-World Use Cases

7.1 Hiring Professional Scenario

7.2 Professional Recommendation Network

CEO searching for technical advisor:
═════════════════════════════════════════

GET /api/search?category=Consultant&minRating=85®ion=Europe

Result:
Name: Alice (anonymized)
├─ Developer (92/100) - 147 votes
├─ Blockchain Expert (88/100) - 94 votes
├─ Manager (85/100) - 62 votes
├─ Fraud Score: 2/100 (very safe)
├─ Region: Europe
└─ Recommended

Action: Hire with confidence ✅
Background verified: Instant
Certainty level: 99%

6.3 Qualification Verification for Job Applications

9. Development Roadmap

10. Conclusion

The Professional Consensus Network (PRC7NET) represents a fundamental shift in how professional credentialing and hiring work. By combining blockchain's immutability with cryptographic privacy, PRC7NET enables a trustworthy ecosystem where:

Vision Statement

The PRC7NET ecosystem will create the most trustworthy professional network in the world—where credentials are cryptographically verified, fraud is impossible, and hiring decisions are made with perfect information.

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