Source: Autobound Signal API · 146 signals tracked for Uber · updated
Get Uber's live signals in Claude or ChatGPT, or by API
What changed at Uber this week? Use Autobound signals for uber.com.Session: Integrating Agentic Workflows: Scaling Engineering Productivity for Uber's Driver Onboarding Team
Conf42 AI Agents 2026
Session
I'll be speaking today about how we transformed some of our existing developer processes by utilizing AI and creating various agentic workflows. I'll go into a few use cases that helped drive that developer productivity on our team.
Conference topics
conference-speakerconferenceSpeakerGet every conference speaker signal for Uber 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 Uber this week?”
The Signal API returns conference speaker signals for any list of companies as JSON, for your CRM, warehouse or app.
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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/9818f179-e9f3-52b2-85ec-256e0aaac29b returns this record as JSON. POST /v1/companies/enrich returns every signal for uber.com.
{
"signal_id": "9818f179-e9f3-52b2-85ec-256e0aaac29b",
"signal_type": "conference-speaker",
"signal_subtype": "conferenceSpeaker",
"detected_at": "2026-10-31T00:00:00+00:00",
"company": {
"name": "Uber",
"domain": "uber.com"
},
"data": {
"summary": "Kemet Dugue (Software Engineer, Uber) at Conf42 AI Agents 2026.",
"relevance": 0.73,
"confidence": "high",
"session_type": "talk",
"session_title": "Integrating Agentic Workflows: Scaling Engineering Productivity for Uber's Driver Onboarding Team",
"session_track": "Coding Agents & Developer Workflows",
"conference_url": "https://www.conf42.com/agents2026",
"conference_date": "2026-09-24",
"conference_name": "Conf42 AI Agents 2026",
"is_future_event": false,
"contact_resolved": true,
"conference_topics": [
"ai agents",
"llms",
"agent orchestration",
"enterprise ai",
"code generation",
"rag",
"mcp",
"text-to-sql"
],
"extraction_method": "llm-agenda+bio",
"domain_match_score": 10,
"conference_end_date": "2026-09-24",
"conference_location": "Online",
"session_description": "I'll be speaking today about how we transformed some of our existing developer processes by utilizing AI and creating various agentic workflows. I'll go into a few use cases that helped drive that developer productivity on our team.",
"session_recording_url": "https://youtu.be/G7W5sQMq5Uk",
"conference_description": "Conf42 AI Agents 2026 is a free online conference for engineers and practitioners focused on building, deploying, and operating AI agents in production. Talks cover agent architecture and orchestration, coding workflows, enterprise data use cases, reliability, cost, security, and LLM-based systems.",
"domain_match_confidence": "high",
"conference_estimated_size": "unknown"
}
}
curl https://signals.autobound.ai/v1/signals/9818f179-e9f3-52b2-85ec-256e0aaac29b \
-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":"uber.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.