Market & news research
Aggregate public social and news signal for any market topic.
Strategy and product teams that need public market context before interviews or build work.
Using ChatGPT, Claude Code or another client? See the setup steps
Public signal is scattered across platforms.
Good market research agents compare what people say on social channels with the public news cycle. The bottleneck is reliable, structured source data, not another generic fetch tool.
Market-language summary
Audience and community segments
Evidence-backed problem clusters
Next searches and source gaps
Start the agent from a concrete task
Replace the market, brand, competitor, or creator set, then let the agent call UnifAPI MCP only when it needs live public-data evidence.
Research this market from public social and news signals. Return audience segments, recurring problems, language patterns, examples, and what to investigate next.
From public records to a decision brief
Frame the market question
The user gives a category, product idea, competitor set, or audience niche that the agent can expand into public searches.
Collect diverse public context
The agent combines social records with available public web or news context while keeping every API call auditable.
Return a research memo
The result is a concise brief with evidence, not a pile of URLs or a one-off scrape.
Run it as a Skill, then productize over HTTP.
Use the related Skill when a human wants an agent-ready brief.
Use the API catalog when the workflow graduates into production code.
Keep every public-data call tied to a source URL, request id, and billing record.