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Inside the PVS Scoring System: Our 5-Pillar Methodology

A deep dive into how we calculate Peptide Verification Scores — from COA verification to Reddit sentiment analysis.

MC

Marcus Chen

Head of Data Science

April 2, 2026

Overview

The Peptide Verification Score (PVS) is PepAssure's proprietary quality metric. It aggregates five independent data pillars into a single 0-100 score that reflects a vendor's overall reliability and product quality.

The Five Pillars

1. COA Verification (30%)

The largest component. We evaluate:

  • Consistency of COA data across batches
  • Whether HPLC and MS data support the stated purity
  • Lab accreditation and formatting standards
  • Historical COA reliability

2. Purity Testing (25%)

We cross-reference reported purity values against:

  • Industry averages for each peptide type
  • Our internal testing database
  • Third-party lab results when available

3. Reddit Sentiment (20%)

We aggregate mentions across r/Peptides, r/SARMs, r/ResearchChemicals, and related communities:

  • NLP-based sentiment classification (positive, neutral, negative)
  • Volume-weighted scoring — more mentions carry more weight
  • Recency weighting — recent posts matter more
  • Spam and shill detection filters

4. Vendor Transparency (15%)

How open and responsive a vendor is:

  • Response time to PepAssure verification requests
  • Completeness of public listing information
  • Third-party lab testing availability
  • Return/refund policy clarity

5. Order Experience (10%)

Aggregated from user-submitted reviews:

  • Shipping speed and reliability
  • Packaging quality
  • Customer service responsiveness
  • Order accuracy

Score Calculation

Each pillar produces a 0-100 sub-score. The final PVS is a weighted average:

PVS = (COA × 0.30) + (Purity × 0.25) + (Sentiment × 0.20) + (Transparency × 0.15) + (Experience × 0.10)

Scores update daily as new data flows in.

Score Tiers

  • 90-100: Exceptional — top-tier vendor with consistent quality
  • 80-89: Strong — reliable vendor with minor areas for improvement
  • 70-79: Average — acceptable but some concerns flagged
  • 60-69: Below Average — significant issues detected
  • Below 60: Poor — major red flags, not recommended

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