Mastercard is actively using its artificial intelligence assets and expertise to create smarter, more secure products and to improve internal operational efficiency.
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-10kaiInvestmentGet every 10-K signal for Mastercard and the companies you sell to, in the tools you already use.
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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/4f6608e6-b2ad-46ea-8aa5-05b075d6ab62 returns this record as JSON. POST /v1/companies/enrich returns every signal for mastercard.com.
{
"signal_id": "4f6608e6-b2ad-46ea-8aa5-05b075d6ab62",
"signal_type": "sec-10k",
"signal_subtype": "aiInvestment",
"detected_at": "2026-02-17T06:28:46.238+00:00",
"company": {
"name": "Mastercard",
"domain": "mastercard.com"
},
"data": {
"detail": "Mastercard is actively using its artificial intelligence assets and expertise to create smarter, more secure products and to improve internal operational efficiency. This creates opportunities for vendors providing AI platforms, governance tools, and productivity solutions.",
"metrics": {
"timeframe": "current_year"
},
"summary": "Mastercard leveraging AI to enhance products, operations, and employee 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": 0.85,
"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": "Target for AI vendors",
"signal_category": "technology",
"technologies_mentioned": [
"AI",
"artificial intelligence"
]
}
}
curl https://signals.autobound.ai/v1/signals/4f6608e6-b2ad-46ea-8aa5-05b075d6ab62 \
-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.