Pricing Principle

Amazon Insight MCP uses the same point costs as the underlying Pangolinfo data APIs. MCP is the AI-agent interface; it does not add a separate MCP surcharge.

Different tools have different point costs depending on the data source and workload. For exact pricing, refer to the corresponding API documentation or your Pangolinfo account usage page.

Pricing Methods

CategoryBilling MethodPoint Cost
Amazon search / product detail / seller listings / rankingsCharged by page or single data requestUsually 1 point / page
Amazon reviewsCharged by review page5 points / page
Category tree / category search / category pathsCharged by category data request2 points / request
Category product listsCharged by category page1 point / page
Category filteringCharged by deep-analysis request5 points / request
Niche filteringCharged by deep-analysis request10 points / request
AI searchCharged by AI search request2 points / request
Trends / mapsCharged by the corresponding trend or map request1.5 points / request
Design patent / litigation chainingPatent search uses the base request cost; litigation chaining may add consumption when enabled and matched2 points / request; +12 points when litigation chaining matches

Free vs Chargeable

ActionBilling
MCP connection and tool discoveryFree
Tool introspectionFree
Amazon / search / category / review / patent data callsCharged according to the underlying tool
AI-generated summaries based on already returned dataNo separate MCP fee

Cost Control

  • Use search, category search, or introspection first to narrow the target set, then run product details and review analysis on selected ASINs.
  • Review analysis, category filtering, niche filtering, and patent litigation chaining are best used after the target is clear.
  • Ask the AI to state which data it plans to request and how many objects it will check before it makes expensive calls.