How to Monetize Search & Discovery Tools

Search tools are the eyes and ears of AI agents. When an agent needs to find documentation, look up facts, or retrieve relevant context, it calls a search tool. This creates a natural per-query billing model that scales with agent activity.

Per-invocation at 2-15¢ per query is the natural model for search tools. Charge more for semantic search (which requires embedding computation) vs. keyword search. Tiered pricing works when you offer both basic and enriched results (with snippets, metadata, or relevance scores).

The enterprise search market is $7.5B and growing at 14% CAGR. AI agents are the new power users of search — a single research task can generate 20+ search queries. RAG (Retrieval-Augmented Generation) pipelines are especially hungry for search tools, calling them on every user query.

At 5¢ per query and 20,000 daily searches, a search tool earns ~$30K/month. Search tools scale well because RAG pipelines call them on every user query. The key metric is result quality — agents will pay more for a search tool that returns relevant results on the first call.

Getting your first paying agent takes five steps:

1. Build your MCP server with the capability you want to monetize. Use `npx create-settlegrid-tool` to scaffold a project with billing pre-wired.

2. Choose a pricing model. For most tools, per-call is the simplest starting point. You can switch to per-token or tiered pricing later.

3. Register on SettleGrid and connect your Stripe account. This takes under 5 minutes.

4. Deploy your server and publish your tool. SettleGrid generates a storefront page, handles metering, and processes payments automatically.

5. Promote your tool via its auto-generated explore page, category listing, and README badge.

Price by result depth: basic search (title + URL) at base price, enriched search (snippets + metadata + relevance scores) at 2-3x. Offer a "deep search" method for agents that need comprehensive results across multiple sources.

Differentiate by index freshness and domain coverage. A search tool that indexes in real-time and covers niche sources (academic papers, patents, regulatory filings) beats generic web search. Proprietary crawling infrastructure is a moat.