Source: Autobound Signal API · 99 signals tracked for Bloomberg · updated
Get Bloomberg's live signals in Claude or ChatGPT, or by API
What changed at Bloomberg this week? Use Autobound signals for bloomberg.com.Session: Introduction to Data Analysis Using Pandas
Session
This tutorial covers how to use pandas for data analysis, including collection, manipulation, aggregation, and visualization of tabular data. It also introduces Matplotlib and Seaborn at a high level for visualization workflows.
Conference topics
conference-speakerconferenceSpeakerGet every conference speaker signal for Bloomberg and the companies you sell to, in the tools you already use.
Connect Autobound to Claude, Claude Code or Cursor with MCP. Then ask: “What changed at Bloomberg this week?”
The Signal API returns conference speaker signals for any list of companies as JSON, for your CRM, warehouse or app.
Sign up and spend your free credits on the companies you sell to.
This page shows a preview. The full conference-speaker record in the Signal API and MCP can also have these 19 fields. Some fields are empty for some signals.
Contact
full_nameValue in the APIjob_titleValue in the APIlinkedin_urlValue in the APIemailValue in the APIfirst_nameValue in the APIlast_nameValue in the APIcityValue in the APIstateValue in the APIcountryValue in the APIseniorityValue in the APICompany
linkedin_urlValue in the APIindustriesValue in the APIemployee_count_lowValue in the APIemployee_count_highValue in the APIrevenueValue in the APIdescriptionValue in the APISignal
signal_nameValue in the APIassociationValue in the APIAnd 1 more fields.
GET /v1/signals/9ad57f34-cbdf-5bda-9eb8-aaf70d46c8c0 returns this record as JSON. POST /v1/companies/enrich returns every signal for bloomberg.com.
{
"signal_id": "9ad57f34-cbdf-5bda-9eb8-aaf70d46c8c0",
"signal_type": "conference-speaker",
"signal_subtype": "conferenceSpeaker",
"detected_at": "2026-10-31T00:00:00+00:00",
"company": {
"name": "Bloomberg",
"domain": "bloomberg.com"
},
"data": {
"summary": "Stefanie Molin (Software Engineer, Bloomberg) at PyCon Greece 2026.",
"relevance": 0.66,
"confidence": "high",
"speaker_bio": "Stefanie Molin is a software engineer at Bloomberg in NYC. She is also a core developer of numpydoc and the author of “Hands-On Data Analysis with Pandas,” which is currently in its second edition and has been translated into Korean and Chinese. She holds a bachelor’s of science degree in operations research from Columbia University, as well as a master’s degree in computer science, with a specialization in machine learning, from Georgia Tech.",
"session_type": "tutorial",
"session_title": "Introduction to Data Analysis Using Pandas",
"session_track": "Data",
"conference_url": "https://2026.pycon.gr",
"conference_date": "2026-10-12",
"conference_name": "PyCon Greece 2026",
"is_future_event": false,
"contact_resolved": true,
"conference_topics": [
"python",
"web development",
"data science",
"machine learning",
"AI"
],
"extraction_method": "llm-agenda",
"domain_match_score": 10,
"conference_end_date": "2026-10-13",
"conference_location": "Athens, Greece",
"session_description": "This tutorial covers how to use pandas for data analysis, including collection, manipulation, aggregation, and visualization of tabular data. It also introduces Matplotlib and Seaborn at a high level for visualization workflows.",
"conference_description": "PyCon Greece 2026 is the 2nd PyCon conference in Greece, dedicated to the Python language and its community. It features talks, workshops, and tutorials on topics ranging from web development and data science to machine learning and AI, along with networking and community activities.",
"domain_match_confidence": "high",
"conference_estimated_size": "500-1000"
}
}
curl https://signals.autobound.ai/v1/signals/9ad57f34-cbdf-5bda-9eb8-aaf70d46c8c0 \
-H "X-API-KEY: $AUTOBOUND_API_KEY"curl -X POST https://signals.autobound.ai/v1/companies/enrich \
-H "X-API-KEY: $AUTOBOUND_API_KEY" \
-H "Content-Type: application/json" \
-d '{"domain":"bloomberg.com","limit":20}'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.