Product and strategy teams build conviction faster when search demand, community scale, encyclopedic attention, and news intensity can be queried as structured series in one place. Trends MCP supplies those channels to assistants and to backend jobs through MCP and REST.
Typical queries read like multi platform evidence requests. A PM might ask for category demand on Google Search, learning intent on YouTube, community momentum on Reddit, and background attention on Wikipedia for the same entity list. Without tools, models guess at co movement. With Trends MCP, each source returns a time ordered payload the assistant can chart or tabulate.
Use get_trends on the core problem phrase across google search and youtube, then add wikipedia for the named product category leaders. When the space is noisy in the press layer on news volume and news sentiment for the same entities referenced in the PRD. If the thesis includes commerce, add amazon for the SKU level language buyers actually type.
get_growth answers the board style question directly: did interest rise over YTD, 6M, and 12M windows on a chosen source. Keeping windows in one call per source and keyword respects quotas and reduces copy paste between slides.
Trends MCP does not replace primary interviews, pricing experiments, or warehouse telemetry. It strengthens external demand and attention chapters with reproducible pulls. Teams should still attach their own internal metrics beside any external series shared in a decision memo.
Product managers who want role framed examples can read Trend data for product managers. Analysts who need a wider survey of workflows should scan AI powered market research with live trend data. Teams who worry about false positives when one channel spikes can use Multi source trend validation without a dozen logins as a checklist style companion.
FAQ