Periskop MCP
Product Discovery MCP for AI Agents
Periskop is an agent-native product-discovery layer for the open merchant web. One MCP/API call turns a natural-language shopping intent into structured, ranked product results: best picks, alternatives, bundles, prices
Share cardActual performance
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Launch Intel predictions
Analyze your own launch →92%92% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
59%59% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
45%45% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
41%41% predicted probability of success on BetaList, based on ML models trained on real launch data.
28%28% predicted probability of success on Hacker News, based on ML models trained on real launch data.
27%27% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
21%21% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Correct prediction on native model
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Product Discovery Platform