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Borrow-Curve Stress Test
x402
Borrow-Curve Stress Test is a paid API for AI agents from staking.halowerk.com, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-22).
Analyzes caller-supplied borrow-curve metrics (stressed rate, utilization shock, liquidity gap) to stress-test lending/borrowing positions and return confidence-scored classifications with explicit thresholds.
Price / call$0.001
Success—
StatusUnknown
How this service works
Borrow-Curve Stress Test analyses only the evidence supplied by the caller. It does not claim to query a chain, identify a legal status or replace an independent audit. Missing signals lower confidence and are listed explicitly; every classification includes the exact thresholds used.
Output
Returns a risk classification for the borrow curve stress scenario, the exact thresholds used to reach each classification, a confidence score, and an explicit list of any missing signals that lowered confidence. The original context labels are echoed back for correlation.
Example use cases
DeFi protocol risk pre-launch check
“Before we deploy liquidity to this new lending protocol, stress test its borrow curve using a stressed rate of 22%, utilization shock of 40%, and a liquidity gap of 15% — flag any missing signals and give me the risk classification with thresholds.”
Monitoring staking position under market stress
“I'm holding a large staking position on protocol 0xabc123 — run a borrow-curve stress test with a stressed rate of 14%, utilization shock of 28%, and liquidity gap of 9% so I can see if my position is at risk if the market spikes.”
Governance proposal risk assessment
“There's a governance proposal to raise the borrow rate ceiling on this protocol — stress test the borrow curve for proposal ID 'BIP-042' using a stressed rate of 30%, utilization shock of 50%, and liquidity gap of 20%, and tell me the classification and exact thresholds applied.”
Technical details
Endpoint
POSThttps://staking.halowerk.com/v1/borrow-curve-stress-test?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need a transparent, evidence-based stress test of a DeFi borrow curve that explicitly documents thresholds and flags missing data, rather than a black-box risk score. Ideal when the caller controls the evidence supply (e.g., off-chain observations or aggregated on-chain snapshots) and needs an auditable, reproducible classification. Prefer over general risk APIs when you need time-series support for metrics and strict mode enforcement of data completeness.
Side effects
- Missing all required metrics returns an error or zero-confidence result
- strict mode enabled with incomplete evidence rejects the request
- Invalid metric enum values cause schema validation failure
- Evidence array with no items fails minItems constraint
- Subject string exceeding 256 characters is rejected
- Malformed ISO-8601 timestamps on evidence items cause parsing errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| strict | boolean | Reject unless all documented metrics are supplied. |
| context | object | Optional non-secret labels returned unchanged for correlation. |
| subject | string | Address, transaction, protocol, asset, proposal or other subject being assessed. |
| evidence | array | Caller-supplied observations. Repeated metrics form a time series; the newest timestamp is assessed. |
Tags
x402
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