# Pricing Strategy Prover MCP for AI Agents AI Agent Connect > Pricing Strategy Prover is an Connector that stops your AI from guessing your SaaS prices based on competitors. It forces your agent to prove a strategy using actual value metrics, willingness-to-pay research, and unit economics. It catches common mistakes like per-seat pricing on non-seat products or failing to account for gross margins in LTV/CAC ratios. ## Overview - **Category:** productivity - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_DgfPcF2G2Sfx064SvUB7cKVlObkfyfkyB67jN8qN/ai-agent-connect - **Tags:** pricing-strategy, saas-pricing, value-metric, willingness-to-pay, unit-economics, monetization, van-westendorp, packaging ## Description Most AI agents are lazy. If you ask them for a pricing plan, they'll just copy what a competitor does or default to a per-seat model because that's what most SaaS apps do. This leads to huge margin leaks where you're basically subsidizing your customers. This Connector changes that by making pricing a rigorous engineering task rather than a vibe check. When you use it, your agent can't just give you a number. It has to justify the value metric, cite specific research methodologies like Van Westendorp, and prove that the unit economics actually work. It forces a breakdown of segments to ensure a 3-person startup isn't paying the same as a 500-person enterprise. You'll get a Pricing Proven status only when the math actually adds up and the packaging triggers make sense. It's a way to move from guessing to a strategy that survives a board meeting. You can find this and thousands of other tools in the Vinkius catalog to build out your full product stack. ## Tools ### validate_pricing_strategy Checks your pricing against five pillars like value metrics and unit economics. It returns a verdict and specific instructions on how to fix structural flaws. ## Prompt Examples **Prompt:** ``` We want to charge $50 a month for our project management tool. Is that good? ``` **Response:** ``` ### VALUE_METRIC_UNDEFINED 'Per seat' or a flat fee is not a value metric. You need to define what actually makes your customers successful. **Consider these metrics:** * Number of active projects * Number of contacts managed * Storage volume **Next Steps:** 1. Run a **Van Westendorp** study to find your optimal price point. 2. Identify which metric scales as your customer gets more value. ``` **Prompt:** ``` Our CAC is $400 and our LTV is $1000. Are we doing okay? ``` **Response:** ``` ### UNIT_ECONOMICS_BROKEN Your LTV/CAC is 2.5x, which is below the **3x threshold** for healthy SaaS growth. **The Problem:** * **CAC:** $400 * **LTV:** $1000 * **Ratio:** 2.5x (Target is > 3x) **Options to fix this:** * Reduce CAC via better PLG channels. * Increase ARPU by identifying higher-value segments. * Improve retention to push LTV higher. ``` **Prompt:** ``` How should we price our new enterprise tier? ``` **Response:** ``` ### SEGMENTATION_ABSENT You cannot charge the same as your startup tier. You need to define **fencing** to prevent cross-segment arbitrage. **Recommended Enterprise Features:** * SSO and Audit Logs * Dedicated Support * Custom SLAs **Action:** Use `validate_pricing_strategy` to set a price that reflects the 10x higher ROI an enterprise gets from your platform. ``` ## Capabilities ### Validate value metrics Ensures your pricing scales with actual customer success instead of arbitrary seat counts. ### Audit willingness-to-pay Verifies your price points against actual research rather than just copying a competitor. ### Enforce segment fencing Creates different price points for different customer sizes to capture more revenue. ### Check unit economics Verifies that your LTV/CAC ratio and gross margins actually support a profitable business. ### Analyze packaging triggers Designs tiers with natural upgrade points to improve your free-to-paid conversion rates. ## Use Cases ### Moving to usage-based pricing A founder wants to move from a flat fee to a usage-based model but doesn't know which metric to pick. The agent uses validate_pricing_strategy to find a metric that scales with success. ### Justifying enterprise tiers A product manager needs to justify why the enterprise tier costs 10x more than the startup tier. The agent identifies specific fencing like SSO and audit logs. ### Fixing broken unit economics A startup realizes their CAC is $400 and their LTV is only $400. The agent uses validate_pricing_strategy to find the break-even point. ### Solving low conversion rates A company has a generous free tier that prevents anyone from ever upgrading. The agent redesigns the tiers with natural upgrade triggers. ## Benefits - Stop subsidizing customers by ensuring your LTV/CAC ratio stays above 3x using validate_pricing_strategy. - Move past per-seat traps by identifying metrics like API calls or storage that actually scale with value. - Avoid copycat pricing by forcing your agent to use Van Westendorp or Gabor-Granger research methods. - Capture more revenue from enterprises by creating specific segment fencing and different price points. - Fix conversion leaks by designing packaging tiers with natural upgrade triggers instead of call us buttons. ## How It Works The bottom line is you get a pricing strategy that is mathematically sound and ready for a board review. 1. Input your current pricing idea or raw customer data into your agent. 2. The agent calls the Connector to run the five decision pivots. 3. You get a verdict matrix showing exactly where your strategy fails. ## Frequently Asked Questions **How does Pricing Strategy Prover help my SaaS margins?** It ensures your price covers your acquisition costs and gross margins. By validating unit economics, it helps you avoid pricing models that look good on paper but lose money on every customer. **Can I use Pricing Strategy Prover to find my value metric?** Yes, the Connector forces your agent to identify metrics that scale with customer success, such as API calls, events processed, or active contacts. **What is the Van Westendorp method mentioned?** It is a research framework the Connector uses to help you find your optimal price point. It moves you away from guessing and toward data-backed pricing. **Will Pricing Strategy Prover help me with segment fencing?** Yes, it helps you create different tiers for different customer sizes. It ensures you aren't undercharging large enterprises or overcharging small startups. **How do I know if my pricing is actually good?** The Connector provides a PRICING_PROVEN verdict only when your strategy passes five specific pillars: value metrics, research, segmentation, economics, and packaging. **Does Pricing Strategy Prover work for usage-based models?** Yes, it specifically validates metrics like events processed or storage, which are common in usage-based SaaS models. **Does it calculate prices?** No. It validates that your pricing strategy is grounded in value metrics, WTP research, segmentation, unit economics, and packaging design. It does not generate prices — it forces you to prove you derived them from data, not competitor pages. **What is Van Westendorp PSM?** The Price Sensitivity Meter asks 4 questions: at what price is it too cheap (quality doubt), a bargain (great value), getting expensive (think twice), too expensive (never buy). The intersections define the acceptable price range. It requires 100-300 respondents from your target segment to produce reliable data. **Can early-stage startups use this before having revenue data?** Yes. Pre-revenue startups use proxy data: Van Westendorp on 30+ prospect interviews, competitor pricing as anchor (not source), current workaround spend as floor, and projected CAC from channel tests. Unit economics use conservative assumptions. The tool forces you to document assumptions instead of skipping the analysis.