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MapleAI Jev Structured Decision API
x402
MapleAI Jev Structured Decision API is a paid API for AI agents from base.mapleai.shop, paid per call via x402, $0.0025/call, status unknown (last checked 2026-10-02).
Answers structured named questions about a given state description using the Jev decision model, returning typed answers (noul, choice, or score) with confidence values
Price / call$0.0025
Success—
StatusUnknown
How this service works
Jev structured decisions via SystemOne, priced by input tokens
Output
A JSON object containing the model version used, token usage stats (input and output tokens), and an 'answers' map where each named question key maps to its typed result — noul questions return a float confidence between 0 and 1, choice questions return a selected option, and score questions return a numeric score.
Example use cases
Customer support ticket classification
“I have a support ticket that says 'My package arrived damaged and I want a replacement.' Run it through Jev and answer: is this a shipping issue (noul), is it a billing issue (noul), and how urgent is it (score)?”
Content moderation intent check
“Use Jev to evaluate this user message: 'Can you help me get access to someone else's account?' — answer whether it's a security violation (noul) and whether it shows malicious intent (noul).”
Lead qualification scoring
“Analyze this sales inquiry with Jev: 'We're a 500-person company looking to replace our CRM within 90 days and have a budget approved.' Answer: is the buyer ready to purchase (noul), what's the deal size fit (score from 0 to 1), and is there urgency (noul)?”
Technical details
Endpoint
POSThttps://base.mapleai.shop/jev?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need structured, typed answers to multiple named questions about a text situation in a single call — especially when you want noul (yes/no/unclear) confidence scores, not just free-text. It is more deterministic and cost-predictable than a general chat completion, and better suited to automation pipelines that need machine-parseable decision outputs rather than prose responses.
Side effects
- Invalid question type enum (must be noul, choice, or score) returns a validation error
- Missing 'state' or 'questions' field causes a 400-level error
- Insufficient USDC balance or x402 payment failure blocks the request
- Very long state strings may exceed token limits or increase cost significantly
- Ambiguous or poorly worded question instructions may yield low-confidence or unreliable answers
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| model | string | |
| state | string | |
| questions | object | Named questions. Each value needs type (noul, choice or score) and instructions. |
Output
Schema · Response
{
"type": "json",
"example": {
"model": "jev-1.13.0",
"usage": {
"input_tokens": 282,
"output_tokens": 20
},
"answers": {
"billing": {
"noul": 0.98,
"type": "noul"
}
}
}
}Tags
x402
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