Public-data workflow

Competitive intelligence

Watch what your competitors ship and say across public social channels.

Founders, PMMs, sales teams, and researchers tracking public competitor motion.

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

Why it is hard

Public signal is scattered across platforms.

Competitive intel is glue work — follow founder posts, product videos, public company updates, and customer-language signals. Each source has a different shape unless the agent reads it through one catalog.

Competitor launch or account brief

Positioning and message map

Evidence from posts, videos, jobs, or threads

Risks, opportunities, and next monitoring queries

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.

Analyze this competitor's public launch signals. Pull posts, reactions, videos, jobs, and community response. Summarize positioning, channels, customer language, and risks.
Workflow

From public records to a decision brief

1

Resolve public accounts

The agent starts from handles, company names, domains, or links and maps them to callable public-data sources.

2

Gather launch and response evidence

UnifAPI provides public posts, company data, comments, videos, and community records in one response shape.

3

Explain what changed

The final brief separates claims, customer reaction, channel choice, hiring signals, and the next watchlist.

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.