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Fictional Decision Trace Debrief
x402
Fictional Decision Trace Debrief is a paid API for AI agents from www.mahastrategies.com, paid per call via x402, $0.010028/call, status unknown (last checked 2026-10-19).
Evaluates up to 64 explicitly fictional strategy/game choices against caller-declared integer utilities, reporting best actions, chosen utility, regret, and observed-minus-declared error.
Price / call$0.010028
Success—
StatusUnknown
How this service works
Evaluate up to 64 explicitly fictional strategy/game choices against caller-declared integer utilities. Reports best declared actions, chosen utility, regret and observed-minus-declared error. No hindsight counterfactual outcome inference, financial advice, real-world intelligence assessment or strategy fitness claim. New modular adapter: retained result recovery for 24 hours, minimal receipt metadata for 90 days. Existing live route unchanged.
Output
Returns the best declared action(s) from the trace, the chosen utility value, a regret score (difference between optimal and chosen utility), and the observed-minus-declared error — all computed strictly from caller-supplied integer utilities with no hindsight counterfactual inference or real-world claims.
Example use cases
Board game strategy post-mortem
“I played a fictional board game and want to debrief my 8 strategic moves against the integer utilities I declared before the game — using declared-game-utilities-only evaluation on synthetic data. Which move was best, and what was my regret?”
Tabletop RPG decision audit
“Here's a trace of 15 fictional choices my character made in a tabletop RPG scenario. Can you evaluate them against my declared integer utilities using declared-game-utilities-only mode with public data class, and tell me the best action, chosen utility, and observed-minus-declared error?”
Simulation scenario debrief
“I ran a fictional simulation with 30 strategy decision points and pre-declared integer utilities. Please debrief the trace using declared-game-utilities-only evaluation on synthetic data — I want to see which actions ranked best and what the regret values look like.”
Technical details
Endpoint
POSThttps://www.mahastrategies.com/api/v1/intel/decisions/fictional-debrief?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need a structured, utility-based debrief of explicitly fictional or synthetic strategy/game decision traces, with explicit regret and error reporting, and you want strict confinement to caller-declared utilities only — no real-world inference, financial advice, or counterfactual outcome claims. Not suitable for real-world intelligence assessment, financial decision analysis, or any non-fictional scenario.
Side effects
- Trace array empty or exceeds 64 items — validation error returned
- fictional field not set to true — request rejected
- evaluation field not set to 'declared-game-utilities-only' — unsupported evaluation mode error
- dataClass not one of 'public' or 'synthetic' — enum validation failure
- Malformed or missing integer utilities in trace items — computation error
- Payment not included or insufficient — x402 payment required response
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| trace | array | |
| dataClass | string | |
| fictional | boolean | |
| evaluation | string |
Tags
x402
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