Intermediate pricing plan design for API product managers

When a company sells API access as a product — not just uses it internally — their product manager faces a specific, painful problem: they need to design a pricing structure for their own customers that doesn't blindly pass through the complexity and cost unpredictability of the underlying gateway. Users complained that there's 'no intermediate pricing plan' and that 'business cost associated with application features means users need to understand their usage first' — but most API PMs are designing plans in spreadsheets with no feedback loop between the plan structure they're proposing and the actual cost model underneath it.

This gap exists because API monetization tooling is built for the technical side — rate limiting, quota enforcement, key management — and the pricing design work happens in a completely different context (slides, spreadsheets, executive conversations) with no connection to real usage data. The people who know the usage patterns are engineers; the people designing the pricing plans are product managers or growth leads; they share almost nothing.

The result is that API companies routinely launch pricing tiers that lose money on heavy users (because the free tier was too generous relative to underlying gateway costs) or repel the customers they want (because the jump from free to paid is too steep, which is exactly what 'it would be nice if they'd offer an intermediate pricing plan' describes). Neither of these mistakes is obvious until they've already cost real revenue or customers.

This is a business — not a feature — because every new pricing tier, every expansion into a new market, and every annual pricing review requires this work to be redone. The cost of getting it wrong is a broken business model, not an inconvenient report.

What to build

Build a pricing plan simulator for API product managers that takes API gateway cost structure and historical usage distribution as inputs and lets a PM model multiple tier configurations — showing projected margin, upgrade conversion rates based on usage percentile thresholds, and the cost exposure of free-tier users — before any plan goes live.

Where to start

Target companies that already have a public API with a free tier and at least one paid tier, where the PM has complained internally about the gap between the two — these companies have the pain, have the data, and have already decided they need to fix pricing; you're just giving them the tool to do it safely.

The hard part

The buyer (API PM) is often not the person with access to the usage data (engineering), so the product needs a workflow that lets an engineer export and share usage data without making it a cross-team project — otherwise it stalls before it starts.

How it makes money

Monthly subscription per workspace, priced per number of API products being modeled — natural expansion as the company launches new APIs or runs more frequent pricing experiments.