Proof of Usefulness Report

Prompt Quality Score

Analysis completed on 4/14/2026

+71
Proof of Usefulness Score
You're In Business

Prompt Quality Score (PQS) demonstrates strong market timing and technical innovation by addressing a universal pain point in LLM workflows (prompt quality and optimization prior to inference). The integration with modern AI and Web3 standards (Model Context Protocol, x402 micropayments on Base) shows high technical sophistication. However, as the project is only in its first week of public launch with minimal active users and early-stage traction metrics, the overall score appropriately reflects a small but promising project with significant room for growth in audience reach and proven utility at scale.

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Score Breakdown

Real World Utility+16.25
Audience Reach Impact+6.00
Technical Innovation+16.88
Evidence Of Traction+10.00
Market Timing Relevance+12.75
Functional Completeness+4.00
Subtotal+65.88
Usefulness Multiplierx1.08
Final Score+71

Project Details

Project URL
pqs.onchainintel.net/
Description
Prompt Quality Score (PQS) is the world's first named AI prompt quality score, a pre-flight scoring and optimization API that grades prompts across 8 dimensions before LLM inference, so developers and agents stop burning tokens on bad inputs.
Audience Reach
PQS reaches an estimated 50,000–75,000 people per month across all channels: ~18,750 LinkedIn impressions (based on first-week performance and daily posting cadence), ~20,000–30,000 Twitter/X reach (@kenburbary, 16K followers), ~5,000–10,000 across 5 MCP developer directories, and ~5,000–10,000 across publishing platforms including Dev.to, Medium, CoderLegion, Paragraph, and Hacker Noon. All figures are estimated projections based on launch week performance. 315 API calls processed and 5 active API keys within the first week of public launch.
Target Users
PQS primarily serves developers and AI engineers who want better LLM outputs without changing models, AI agent builders who need an automated pre-inference quality gate in autonomous pipelines (with native x402 micropayment support for agent-to-agent transactions), and enterprises managing high-volume LLM workflows where inconsistent prompt quality is a measurable cost problem. Early adopters include MCP ecosystem builders and x402/Base network developers. First certified partner: SmartFlow Signals (smartflowproai.com), an AI workflow automation platform serving business users. However, consumers that want to improve the quality of their prompts are also an audience segment for PQS and can use the consumer tool at https://pqs.onchainintel.net
Technologies
Other, Next.js 15, Vercel, Supabase (PostgreSQL), Claude Sonnet (Anthropic), GPT-4o (OpenAI), x402 protocol (Coinbase), Base mainnet (Ethereum L2), Resend (email), npm (x402-pqs, pqs-mcp-server packages), Model Context Protocol (MCP)
Traction Evidence
https://pqs.onchainintel.net (live product) https://smithery.ai/server/pqs-mcp-server (MCP directory listing) https://glama.ai (MCP directory listing) https://www.npmjs.com/package/x402-pqs (npm package) https://www.npmjs.com/package/pqs-mcp-server (npm package) https://dev.to/kenburbary (Dev.to articles) https://paragraph.xyz/@kenburbary (Paragraph publishing) https://x.com/kenburbary (16K followers, pinned PQS tweet live since April 7) 315 API calls processed, 5 active API keys, 1 confirmed organic user — all within first week of public launch (April 8, 2026). First certified partner: SmartFlow Signals (smartflowproai.com). Listed across 5 MCP directories. Two npm packages published. First 2 organic, PAID subscribers from https://orbisapi.com/. First paid x402 agent transactions in USDC on Base in first week of launch.

Algorithm Insights

Market Position
Growing utility with room for optimization
User Engagement
Documented reach suggests active user community
Technical Stack
Modern tech stack aligned with sponsor technologies

Recommendations to Increase Usefulness Score

Document User Growth

Provide specific metrics on user acquisition and retention rates

Showcase Revenue Model

Detail sustainable monetization strategy and current revenue streams

Expand Evidence Base

Include testimonials, case studies, and third-party validation

Technical Roadmap

Share development milestones and feature completion timeline