Session: GraphQL Meets LLMs & Agents: Building Production AI at Starbucks Scale
GraphQLConf 2026
About the conference
GraphQLConf 2026 is a GraphQL Foundation event focused on the GraphQL ecosystem, bringing together the global community for two days of expert insights, collaboration, and innovation around APIs and the future of GraphQL. It includes talks on topics such as federation, schema design, security, obser
Conference topics
conference-speakerconferenceSpeakerGet every conference speaker signal for Starbucks 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 Starbucks 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/8dbf0e58-33f2-5c1b-9dfd-c6260e14a117 returns this record as JSON. POST /v1/companies/enrich returns every signal for starbucks.com.
{
"signal_id": "8dbf0e58-33f2-5c1b-9dfd-c6260e14a117",
"signal_type": "conference-speaker",
"signal_subtype": "conferenceSpeaker",
"detected_at": "2026-05-31T00:00:00+00:00",
"company": {
"name": "Starbucks",
"domain": "starbucks.com"
},
"data": {
"summary": "Sharon Gorla (Starbucks) at GraphQLConf 2026.",
"relevance": 0.82,
"confidence": "high",
"session_type": "talk",
"session_title": "GraphQL Meets LLMs & Agents: Building Production AI at Starbucks Scale",
"session_track": "AI and LLMs",
"conference_url": "https://graphql.org/conf/2026",
"conference_date": "2026-05-19",
"conference_name": "GraphQLConf 2026",
"contact_resolved": false,
"conference_topics": [
"graphql",
"APIs",
"federation",
"schema design",
"security",
"observability",
"tracing",
"performance"
],
"domain_match_score": 10,
"conference_end_date": "2026-05-20",
"conference_location": "Fremont, California",
"conference_description": "GraphQLConf 2026 is a GraphQL Foundation event focused on the GraphQL ecosystem, bringing together the global community for two days of expert insights, collaboration, and innovation around APIs and the future of GraphQL. It includes talks on topics such as federation, schema design, security, obser",
"domain_match_confidence": "high",
"conference_estimated_size": "1000-2000"
}
}
curl https://signals.autobound.ai/v1/signals/8dbf0e58-33f2-5c1b-9dfd-c6260e14a117 \
-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":"starbucks.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.