decision-questions is a paid API for AI agents from x402.agentindex.world, paid per call via x402, $0.001/call, status unknown (last checked 2026-10-01).
Ask up to 20 typed yes/no, multiple-choice, or ordinal-scale questions about a shared context in one call, each returning a calibrated probability rather than generated text.
Ask up to 20 typed yes/no, multiple-choice or ordinal-scale questions about one shared piece of context in a single call - each answered with a real probability (Jev decision primitives), not generated text. Try GET /decide/sample.
A structured response keyed by each question name you provided, where each entry contains a typed probabilistic answer: a real-valued probability for yes/no questions (noul), a probability distribution over choices for multiple-choice questions, and a calibrated numeric score for ordinal-scale questions — all computed over the shared context, not generated as text.
GEThttps://x402.agentindex.world/decide?utm_source=zero.xyzChoose this endpoint when you need calibrated probability outputs rather than free-form generated text, and especially when you have multiple structured questions about the same context that should be answered consistently in a single pass. It is ideal for evaluation pipelines, rubric-based scoring, content moderation, and decision workflows where deterministic, numeric confidence values matter more than natural language explanations. Prefer it over LLM-generated answers when you need machine-readable probabilities for downstream logic.
| Field | Type | Description |
|---|---|---|
| state | — | Shared context the questions are asked about - a string, or a JSON object/array. Capped at 8000 tokens. |
| questions | object | Up to 20 typed questions, keyed by a name you choose. Each needs type ('noul', 'choice' or 'score'), instructions, and criteria (shape depends on type - see /decide/sample). |
{
"type": "json",
"example": {
"answers": {
"is_bug": {
"noul": 0.96,
"type": "noul"
}
},
"x402_receipt": {
"upstream": "decision",
"latency_ms": 468,
"model_served": "jev",
"price_paid_usdc": 0
}
}
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