What crypto's executives say on LinkedIn

Perception tracks what 390 crypto founders, executives, and investors publish on LinkedIn: 26,000+ posts with coverage back to 2013. Every post carries an AI sentiment label, detected entities with per-entity sentiment, the author, and timestamps, so the feed arrives ready for analysis.

LinkedIn matters because it is where the corporate side of crypto talks first. Executives announce partnerships, hiring pushes, and policy positions there before the press release goes out. The tone is professional and attributable: a named person at a named company, saying a thing on the record. Corporate narratives form on LinkedIn while the press is still deciding whether to cover them.

The LinkedIn corpus sits inside Perception's wider index of 1.8M+ items across thousands of curated sources, so you can put an executive's posts next to press coverage, podcast appearances, and X activity from tracked crypto accounts in one query language. The sentiment API runs on the same key.

LinkedIn is the most aggressively protected major platform. There is no public content API for reading what executives post. Automated collection from social platforms breaks their terms, and LinkedIn enforces its User Agreement harder than anyone: it bans the accounts involved and it pursues scrapers in court. The case history is public and the outcomes are expensive.

Even setting the legal side apart, the engineering is a treadmill. Session management, anti-bot countermeasures, and layout changes break automated collection constantly, and every breakage costs you data continuity in a corpus whose whole value is its continuity.

Our position is the same one we give for every platform: don't risk your accounts or a legal letter for a dataset someone already maintains. Subscribe instead.

Generate a key from Settings, then authenticate with a Bearer token:

curl "https://api.perception.to/feed?keyword=coinbase" \
  -H "Authorization: Bearer pcp_your_key_here"

LinkedIn is one of the source types in results, alongside news, podcasts, and the rest of the index. Filter by outlet to isolate LinkedIn posts, or add sentiment and date filters to narrow the window. Responses come back as structured JSON with sentiment breakdowns.

Or skip the code entirely. The same key connects Perception to Claude, ChatGPT, and Gemini over MCP, where your assistant queries the corpus mid-conversation. Full endpoint reference in the documentation, and the broader surface is on the data API page.

Executive voice monitoring. Comms teams track what leaders at competitor firms are saying, with sentiment timelines per voice, and catch a positioning shift the week it starts.

BD signal. See which executives are talking about your sector (custody, payments, stablecoins) before you write the outreach. A warm reference to their own post beats a cold open.

Narrative research. Study how corporate narratives form: measure when a theme first appears in executive posts, and how long it takes to reach press coverage in the same index.