The company's ability to price risk and reduce credit losses is directly tied to its massive and growing dataset. This necessitates continuous investment in data aggregation, protection, and analysis platforms to maintain their underwriting superiority.
Filing excerpt
Our expertise in sourcing, aggregating, protecting, and analyzing data has been what we believe to be a core competitive advantage of our platform since our founding.
What this signalsFilings often name leadership changes, deals and spending plans.
Technologies
Vendors
sec-10kdataInvestmentGet every 10-K signal for Affirm 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/e87055cf-8d60-40ea-bf5e-17bbba82be02 returns this record as JSON. POST /v1/companies/enrich returns every signal for affirm.com.
{
"signal_id": "e87055cf-8d60-40ea-bf5e-17bbba82be02",
"signal_type": "sec-10k",
"signal_subtype": "dataInvestment",
"detected_at": "2026-09-01T07:03:20.044+00:00",
"company": {
"name": "Affirm",
"domain": "affirm.com"
},
"data": {
"detail": "The company's ability to price risk and reduce credit losses is directly tied to its massive and growing dataset. This necessitates continuous investment in data aggregation, protection, and analysis platforms to maintain their underwriting superiority.",
"metrics": {
"timeframe": "current_year"
},
"summary": "Affirm's core competitive advantage is built on analyzing data from over 553 million loans.",
"excerpts": "Our expertise in sourcing, aggregating, protecting, and analyzing data has been what we believe to be a core competitive advantage of our platform since our founding.",
"relevance": 0.9,
"sentiment": "positive",
"confidence": "high",
"source_url": "https://www.sec.gov/Archives/edgar/data/1820953/000162828026059279/afrm-20260630.htm",
"filing_date": "2026-08-27",
"filing_year": 2026,
"fiscal_year_end": "06/30",
"sales_relevance": "Target for data vendors",
"signal_category": "technology",
"vendors_mentioned": [
"Cross River Bank"
],
"technologies_mentioned": [
"machine learning",
"data"
]
}
}
curl https://signals.autobound.ai/v1/signals/e87055cf-8d60-40ea-bf5e-17bbba82be02 \
-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":"affirm.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.