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pricing-research

Gather competitor pricing intelligence and design willingness-to-pay research plans for SaaS products.

1|Updated May 12, 2026
Search Tags:#market intelligence#api gateway#willingness-to-pay#pricing research#saas pricing#competitor benchmarking#tiering strategy
One-click install
npx skills add https://github.com/MoxyWolfLLC/moxywolf-plugins --skill pricing-research
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: pricing-research
Source: https://github.com/MoxyWolfLLC/moxywolf-plugins/tree/main/plugins/saas-pricing-engine/skills/pricing-research
Command: npx skills add https://github.com/MoxyWolfLLC/moxywolf-plugins --skill pricing-research

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Pricing-research eliminates guesswork in SaaS and developer-product pricing by collecting competitor pricing, market signals, and willingness-to-pay inputs before you model or decide on tiers.

Core Features & Use Cases

  • Competitor pricing intelligence: Capture tier names, price points, feature gating, value metrics, free-tier limits, add-ons, and pricing page UX from direct, adjacent, and API-only benchmarks.
  • Review and sentiment mining: Extract price sensitivity and perceived value signals from sources like G2/Capterra, Reddit, Hacker News, and relevant social discussions.
  • Internal data analysis inputs: Organize internal usage/segment patterns (when available) such as adoption rates, churn correlations, and expansion triggers to ground recommendations in evidence.
  • Willingness-to-pay (WTP) design: Produce framework-ready research plans (e.g., Van Westendorp, Gabor-Granger, conjoint) including survey instruments, sampling guidance, and how to interpret outputs.
  • STIG/GRC and API gateway context: Incorporate compliance and procurement-specific pricing factors and developer/API value structures (rate limits, overage mechanics, authentication/key pricing).

Quick Start

Use the pricing-research skill when you need to research competitor pricing benchmarks for a SaaS product by asking: "Research competitor pricing for my SaaS, including tier comparisons, value metrics, review sentiment, and a willingness-to-pay research plan."

Frequently Asked Questions about pricing-research

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I research competitor pricing for a SaaS product before modeling tiers?▼

SaaS pricing research gathers competitive intelligence by scraping competitor pricing pages, mining review sentiment, and organizing internal usage data to benchmark value metrics, free-tier limits, and feature gating before modeling.

What is willingness-to-pay research and how does it apply to API gateway tiering strategy?▼

Willingness-to-pay research designs framework-ready survey instruments like Van Westendorp or Gabor-Granger to measure price sensitivity, incorporating API gateway value structures such as rate limits, overage mechanics, and authentication key pricing for tiering strategy.

Can I extract pricing sentiment and perceived value signals from G2 or Reddit?▼

Yes, review and sentiment mining extracts price sensitivity and perceived value signals from sources like G2, Capterra, Reddit, and Hacker News to inform competitive pricing benchmarks and positioning decisions.

What's the best way to benchmark developer and API-only competitor pricing structures?▼

Benchmark API-only competitors by extracting value metrics, free-tier limits, add-ons, and pricing page UX into a structured competitor matrix, capturing developer-specific factors like rate limits and overage mechanics for positioning analysis.

Does this pricing research approach handle STIG and GRC compliance procurement factors?▼

Yes, STIG and GRC compliance factors are incorporated into competitive pricing research to account for procurement-specific pricing variables and enterprise requirements when benchmarking SaaS and developer product tiers.

How do I correlate internal usage and churn data with competitor pricing benchmarks?▼

Internal data analysis inputs organize adoption rates, churn correlations, and expansion triggers alongside the structured competitor matrix, grounding pricing research and tiering recommendations in correlated internal usage evidence.

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