Trend & content discovery
Spot what's spiking across TikTok, YouTube, Reddit, and X before everyone else does.
Content, growth, and research teams looking for early platform-native signals.
Using ChatGPT, Claude Code or another client? See the setup steps
Public signal is scattered across platforms.
Trend signals live in different shapes on every platform. Agents that can correlate them have a meaningful edge; agents that can't are always reacting.
Emerging topics ranked by evidence strength
Platform-specific examples and source URLs
Suggested content formats or titles
Risks, blind spots, and follow-up searches
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.
Find what is gaining momentum around this topic across TikTok, YouTube, Reddit, and X. Return emerging angles, example posts, formats, and why each signal matters.
From public records to a decision brief
Search native surfaces
The agent uses platform APIs instead of one generic web search, preserving creator, post, engagement, and topic metadata.
Compare cross-platform momentum
Records from several sources share one envelope, so the agent can compare signals without separate vendor glue.
Turn signal into action
The output is a research brief with evidence, formats, and follow-up questions a human can approve.
APIs this workflow can call
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.