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Pre-Trade Token Risk Consensus – Decision Stress Test
x402
Pre-Trade Token Risk Consensus – Decision Stress Test is a paid API for AI agents from rooke-token-risk-pilot.rookepoole.workers.dev, paid per call via x402, $9/call, status unknown (last checked 2026-10-12).
Runs a risk-adjusted stress test across 2–8 decision options, scoring each against constraints and assumptions to produce a verdict on which option to proceed with.
Price / call$9
Success—
StatusUnknown
How this service works
Public static preview plus paid token controls, risk consensus, AI security, webhook reliability, developer security, schedule risk, decision analysis, API release compatibility, accounts-payable reconciliation, e-commerce return eligibility, SaaS subscription-proration, sales-commission reconciliation, parcel-charge reconciliation, SLA service-credit reconciliation, advertising spend-and-fee audit, contract-renewal audit, workforce timecard reconciliation, hotel booking-commission reconciliation, and warehouse cycle-count adjustment reconciliation products for autonomous agents.
Output
Returns a verdict object with the recommended option ID and reason codes, per-option risk analyses, identified evidence gaps, a suggested next evidence action, and a claim boundary disclaimer confirming no funds were moved or execution performed. Also includes a report hash for auditability and schema version.
Example use cases
Choosing between two vendor contracts
“I'm deciding between two vendor contracts for our logistics software. Vendor A costs $200k upfront, $20k/month recurring, expected to bring $90k/month revenue, 70% success odds, $150k failure loss, 60 days to evidence, 0.2 reversibility, 0.8 confidence. Vendor B costs $30k upfront, $8k/month, $40k/month revenue, 85% success, $20k loss, 30 days to evidence, 0.7 reversibility, 0.6 confidence. My objective is maximizing 30-day profit. Constraints: max $250k capital at risk, max 90 days to evidence, minimum $10k/month profit. Which should I go with?”
Stress-testing a new product launch strategy
“Help me stress-test three product launch options for our new analytics tool. Option FULL_LAUNCH: $500k upfront, $50k/month, $300k/month revenue, 50% success, $400k failure loss, 180 days to evidence, 0.1 reversibility, 0.6 confidence. Option PILOT: $50k upfront, $10k/month, $60k/month revenue, 75% success, $40k failure loss, 45 days to evidence, 0.8 reversibility, 0.7 confidence. Option WAIT: $0 upfront, $5k/month, $0 revenue, 100% success, $0 failure loss, 30 days, 1.0 reversibility, 1.0 confidence. Objective: maximize expected profit. Constraints: max $600k capital at risk, 200 days max, minimum $0 profit.”
Evaluating a marketing spend decision
“I need to compare two marketing spend options for Q3. Option PAID_ADS: $80k upfront, $15k/month, $70k/month expected revenue, 65% success probability, $60k failure loss, 45 days to evidence, 0.4 reversibility, 0.6 confidence. Option CONTENT_SEO: $20k upfront, $5k/month, $30k/month expected revenue, 80% success, $10k failure loss, 90 days to evidence, 0.6 reversibility, 0.5 confidence. Objective: highest risk-adjusted profit. Constraints: max capital at risk $100k, max 120 days to evidence, minimum $5k/month profit. Which option should we proceed with?”
Technical details
Endpoint
POSThttps://rooke-token-risk-pilot.rookepoole.workers.dev/v1/x402/decision-stress-test?utm_source=zero.xyzWhen to prefer
Choose this endpoint when an AI agent or human needs a structured, auditable risk-adjusted verdict across 2–8 competing decision options — especially when constraints on capital at risk, time to evidence, and minimum profit must all be enforced simultaneously. Prefer this over simple expected-value calculators when assumption tracking, reversibility scoring, and evidence gap identification are required. Best suited for pre-commitment decision checkpoints in autonomous agent workflows where a documented claim boundary (no funds moved, no execution performed) is important for accountability.
Side effects
- Invalid option schema — optionId must match ^[A-Z][A-Z0-9_]*$ pattern
- Fewer than 2 or more than 8 options submitted
- Constraint values out of allowed range (e.g. maximumCapitalAtRiskUsd must be > 0)
- Assumption missing required falsifier field
- Payment failure — $9 USDC not successfully settled via x402
- Objective string too short (< 10 characters) or too long (> 1000 characters)
- timeToEvidenceDays exceeds maximum of 365
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| options | array | |
| objective | string | |
| assumptions | array | |
| constraints | object |
Output
Schema · Response
{
"type": "json",
"example": {
"decision": {
"verdict": "PROCEED_WITH_OPTION",
"optionId": "THIN_SLICE",
"reasonCodes": [
"BEST_ADMISSIBLE_RISK_ADJUSTED_OPTION"
]
},
"reportHash": "sha256-hex",
"evidenceGaps": [],
"claimBoundary": {
"fundsMoved": false,
"investmentAdvice": false,
"capitalAuthorized": false,
"outcomeGuaranteed": false,
"executionPerformed": false,
"externalFactsVerified": false,
"deterministicCallerSuppliedInputsOnly": true
},
"schemaVersion": "AGENT_DECISION_STRESS_TEST_V1",
"optionAnalyses": [],
"nextEvidenceAction": "Test the lowest-confidence assumption with a reversible experiment."
}
}Tags
x402
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