The company relies heavily on its proprietary data models for lending decisions, scoring, and pricing to manage its substantial credit risk. This indicates an ongoing strategic investment in their data analytics and risk technology stack to protect against loan defaults.
Filing excerpt
To manage this risk, we utilize our proprietary underwriting models to make lending decisions, score, and price loans in a manner that we believe is reflective of the credit risk.
What this signalsFilings often name leadership changes, deals and spending plans.
Technologies
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This page shows a preview. The full sec-10q 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/65024e48-8275-4c9c-91b8-5de79f0e801a returns this record as JSON. POST /v1/companies/enrich returns every signal for affirm.com.
{
"signal_id": "65024e48-8275-4c9c-91b8-5de79f0e801a",
"signal_type": "sec-10q",
"signal_subtype": "dataInvestment",
"detected_at": "2026-05-12T09:24:57.911+00:00",
"company": {
"name": "Affirm",
"domain": "affirm.com"
},
"data": {
"detail": "The company relies heavily on its proprietary data models for lending decisions, scoring, and pricing to manage its substantial credit risk. This indicates an ongoing strategic investment in their data analytics and risk technology stack to protect against loan defaults.",
"metrics": {
"timeframe": "current_quarter",
"dollar_context": "Credit risk exposure managed by proprietary models",
"dollar_millions": 8600
},
"summary": "Utilizing proprietary underwriting models to manage an $8.6B credit risk portfolio.",
"excerpts": "To manage this risk, we utilize our proprietary underwriting models to make lending decisions, score, and price loans in a manner that we believe is reflective of the credit risk.",
"relevance": 0.8,
"sentiment": "neutral",
"confidence": "high",
"source_url": "https://www.sec.gov/Archives/edgar/data/1820953/000162828026032294/afrm-20260331.htm",
"filing_date": "2026-05-07",
"filing_year": 2026,
"fiscal_year": 0,
"fiscal_year_end": "03/31",
"sales_relevance": "Target for data vendors",
"signal_category": "technology",
"technologies_mentioned": [
"proprietary underwriting models"
]
}
}
curl https://signals.autobound.ai/v1/signals/65024e48-8275-4c9c-91b8-5de79f0e801a \
-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.
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