Mastercard is leveraging its data and AI assets to build smarter, more secure commerce products and is also using AI internally to boost operational efficiency and employee productivity. This signals significant budget and receptiveness for AI platforms, tools, and talent.
Filing excerpt
We create a range of products and services for our customers using our data and artificial intelligence (“AI”) assets, technology, platforms and expertise.
What this signalsFilings often name leadership changes, deals and spending plans.
Technologies
sec-10kplatformStrategyGet every 10-K signal for Mastercard 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 Mastercard this week?”
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This page shows a preview. The full sec-10k 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 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 APIGET /v1/signals/72b15d5e-a538-4a20-b099-fb733f313b51 returns this record as JSON. POST /v1/companies/enrich returns every signal for mastercard.com.
{
"signal_id": "72b15d5e-a538-4a20-b099-fb733f313b51",
"signal_type": "sec-10k",
"signal_subtype": "platformStrategy",
"detected_at": "2026-02-17T06:28:46.238+00:00",
"company": {
"name": "Mastercard",
"domain": "mastercard.com"
},
"data": {
"detail": "Mastercard is leveraging its data and AI assets to build smarter, more secure commerce products and is also using AI internally to boost operational efficiency and employee productivity. This signals significant budget and receptiveness for AI platforms, tools, and talent.",
"metrics": {
"timeframe": "current_year"
},
"summary": "Mastercard investing in AI for new product development and internal productivity",
"excerpts": "We create a range of products and services for our customers using our data and artificial intelligence (“AI”) assets, technology, platforms and expertise.",
"relevance": 0.9,
"sentiment": "positive",
"confidence": "high",
"source_url": "https://www.sec.gov/Archives/edgar/data/1141391/000114139126000013/ma-20251231.htm",
"filing_date": "2026-02-11",
"filing_year": 2026,
"fiscal_year_end": "12/31",
"sales_relevance": "Platform tools needed",
"signal_category": "strategic",
"technologies_mentioned": [
"AI",
"Data"
]
}
}
curl https://signals.autobound.ai/v1/signals/72b15d5e-a538-4a20-b099-fb733f313b51 \
-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":"mastercard.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.