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FactSetLinkedIn

FactSet takes over Wall Street.

Read at LinkedIn

Source

LinkedInJan 7, 2026
likes
339

Post

FactSet takes over Wall Street. 📍 We're sending a clear message to the Financial District in NYC: Markets run on trust, and your #AI should too. We’ve taken over the subway station at Wall Street to showcase the future of transparent, flexible enterprise AI. In a landscape filled with generic tools and opaque algorithms, is your #AI as fluent in finance as you are? As AI reshapes the way finance operates, the difference between generic technology and purpose-built solutions has never been more important. Passing through the Financial District? Check it out. #FluentInFinance

linkedin.com/feed/update/urn:li:activity:7414727718715564032Read the full source

Extracted by Autobound

From the Signal API record
Signal
LinkedIn

What this signalsCompany posts often show what the team is pushing right now.

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The full record

From the Signal API record

Topics and mentions

Tags

  • Artificial Intelligence
  • Business Finance
  • Enterprise Software
  • Marketing Campaign

Extraction

Detected
Jan 8, 2026
signal_type
linkedin-post-company
signal_subtype
linkedinPost

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The API returns more than this page shows

This page shows a preview. The full linkedin-post-company record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.

Company

  • linkedin_urlValue in the API
  • industriesValue in the API
  • employee_count_lowValue in the API
  • employee_count_highValue in the API
  • revenueValue in the API
  • descriptionValue in the API

Signal

  • signal_nameValue in the API
  • associationValue in the API
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Show the full JSONThe record on this page and the API request

GET /v1/signals/1cf4236d-0c03-4cf5-9575-da611b8892f8 returns this record as JSON. POST /v1/companies/enrich returns every signal for factset.com.

{
  "signal_id": "1cf4236d-0c03-4cf5-9575-da611b8892f8",
  "signal_type": "linkedin-post-company",
  "signal_subtype": "linkedinPost",
  "detected_at": "2026-01-08T12:55:14.146+00:00",
  "company": {
    "name": "FactSet",
    "domain": "factset.com"
  },
  "data": {
    "tags": [
      "Artificial Intelligence",
      "Business Finance",
      "Enterprise Software",
      "Marketing Campaign"
    ],
    "post_url": "https://www.linkedin.com/feed/update/urn:li:activity:7414727718715564032/",
    "num_likes": 339,
    "post_text": "FactSet takes over Wall Street. 📍 \n\nWe're sending a clear message to the Financial District in NYC: Markets run on trust, and your #AI should too. \n\nWe’ve taken over the subway station at Wall Street to showcase the future of transparent, flexible enterprise AI. In a landscape filled with generic tools and opaque algorithms, is your #AI as fluent in finance as you are? \n\nAs AI reshapes the way finance operates, the difference between generic technology and purpose-built solutions has never been more important. \n\nPassing through the Financial District? Check it out. #FluentInFinance",
    "posted_date": "2026-01-07T18:00:47.121Z"
  }
}

Long text fields are shortened on this page.

Looking up one signal by its id is free. Enrich costs 2 credits per signal returned; a call with no results is free.