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Default Probability Model MCP
x402
Default Probability Model MCP is a paid API for AI agents from api.m2mcent.com, paid per call via x402, $0.28/call, status unknown (last checked 2026-10-29).
Computes the probability of default for a given entity or dataset using a credit risk model
Price / call$0.28
Success—
StatusUnknown
How this service works
The premier global index of 1,069 monetized MCP nodes across 205 specialized subdomains. Gasless USDC runtime settlements via x402 V2 Spec on Base L2. Save 95% token context.
Output
Returns a computed probability-of-default score (likely a float between 0 and 1) and potentially associated risk tier or confidence metrics, indicating the likelihood that the input entity will default on their financial obligations.
Example use cases
Loan underwriting credit risk assessment
“I need to assess the default risk for a mortgage applicant — run a default probability model on this data: annual income $90,000, debt-to-income ratio 0.38, credit score 680, and requested loan of $300,000.”
Portfolio default risk monitoring
“Run a default probability estimate on this counterparty's financial profile so I can flag whether they cross our internal 5% PD threshold before we extend the credit line.”
Corporate bond default scoring
“Can you calculate the probability of default for this corporate entity using their financials: revenue $2.1M, total debt $4.5M, interest coverage ratio 1.8, and industry code 'manufacturing'?”
Technical details
Endpoint
POSThttps://api.m2mcent.com/default-probability-model-mcp/api/process?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a dedicated, quantitative default probability score for credit risk workflows, underwriting pipelines, or portfolio monitoring. Prefer it over generic scoring APIs when you need a model specifically calibrated to probability-of-default (PD) rather than a simple credit tier or pass/fail output.
Side effects
- Malformed or missing 'data' field returns a 400 validation error
- Unparseable financial data string may yield null or error response
- Insufficient data fields in the input may produce low-confidence or fallback scores
- Payment failure (x402) blocks the request before processing
- Timeout if input data string is excessively large
Output
Schema · Response
{
"type": "json",
"example": {
"success": true
}
}Tags
x402
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