Public-data workflow

Social listening & brand monitoring

Track every mention of your brand, product, or topic across the major social networks.

Brand, product, and founder teams that need repeated public-language briefs.

Using ChatGPT, Claude Code or another client? See the setup steps

Why it is hard

Public signal is scattered across platforms.

Modern brand monitoring needs to read X, Reddit, TikTok, Threads and news in near real time. Doing that yourself means juggling five APIs, five billing relationships, and five rate-limit ceilings.

Theme map with repeated user language

Representative posts, comments, or videos

Complaint and feature-request clusters

Follow-up searches for the agent to run next

Run prompt

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.

Monitor public chatter around our product category this week. Group repeated phrases, complaints, feature requests, active communities, and example posts we should cite.
Workflow

From public records to a decision brief

1

Start from a topic or brand

The agent turns a brand name, product category, or launch phrase into focused searches across live social sources.

2

Collect public records

UnifAPI returns posts, comments, videos, profiles, and pagination metadata through one MCP or HTTP surface.

3

Write the brief

The agent groups repeated language, cites examples, and suggests the next public-data searches instead of building a dashboard.

Live API sources

APIs this workflow can call

Next step

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.