Here is my recommendation for an evolved pricing strategy that balances your High-Value Consulting, Platform Access, and Usage-Based Costs:

Here is my recommendation for an evolved pricing strategy that balances your High-Value Consulting, Platform Access, and Usage-Based Costs:

1. The “Interface-as-a-Service” Model (Consulting + Development) Your idea of $300/hour for development is excellent and aligns with senior-level Elixir/AI architecture rates. I recommend framing this as “Custom Skill Engineering”:

• Implementation Fee: Charge a flat fee or hourly rate ($300/hr) for the initial discovery and “plumbing” of a company’s internal APIs into the MCP server.
• The Advantage: Companies often have the data but lack the “agentic interfaces.” You aren’t just writing code; you’re building the capability for their AI to act on their proprietary data.

2. Hybrid Usage Pricing (LLM + Platform) You mentioned charging for requests like LLM providers. Since you’re already doing this in your Pro and Pro Plus tiers (e.g., $0.50 per 1k requests), you should distinguish between:

• Platform Orchestration Fee: Your current request-based pricing covers the BEAM infrastructure, state management, and A2A discovery.
• LLM Pass-Through + Premium: Instead of just telling users to bring their own keys (as your current FAQ does), you could offer a “Managed Credit” system where you bill them for LLM tokens used plus a 10-20% convenience/management fee. This simplifies their accounting and adds a “tax” on every thought the agent has.

3. “The Orchestrator” Strategic Tiers I recommend introducing a “Managed Pilot” tier above Pro but below full Enterprise:

• Managed Pilot ($5,000/mo):
  • Includes 10 hours of “Custom Skill Engineering” per month (valued at $3,000).
  • Unlimited requests (platform only).
  • Managed LLM accounts (billing pass-through).
  • Goal: This targets mid-size companies that want the result but don’t want to manage the Elixir/MCP server themselves.

4. Revenue “Stickiness”: The A2A Advantage Since your app provides the “Operational Layer” (Alarms, Persistence, A2A), emphasize that the value isn’t in the call (request), but in the “Autonomous Task Outcome”.

• Success-Based Pricing: For high-value tasks (e.g., a “Sales Prospecting Agent” that successfully books a meeting), consider charging a Success Fee ($10-$50 per outcome) rather than just per request. This aligns your incentives with the customer’s business goals.

Summary of Recommendation:

1. Keep the Hourly Rate ($300/hr) for custom API integrations and architecture consulting.
2. Productize the Skills: Bundle development hours into a high-end “Managed” subscription.
3. Monetize the “Thoughts”: Add a small margin to the pass-through LLM costs if you handle the billing.
4. Outcome Alignment: Shift from “charging for API calls” to “charging for autonomous outcomes” in your high-end pilot programs.

This approach transitions you from a Software Vendor (selling a tool) to a Strategic Partner (delivering autonomous business results).