Score — GLiDE's ordered-scale decision primitive

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Request

curl -s https://api.fastino.ai/v1/systemone \
  -H "X-API-Key: YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "fastino/glide",
    "state": "Refund request: the receipt is attached, the purchase was 10 days ago, and refunds are allowed within 30 days.",
    "questions": {
      "urgency": {
        "type": "score",
        "instructions": "How urgent is this request?",
        "criteria": [
          "low urgency, can wait",
          "medium urgency, handle soon",
          "high urgency, handle immediately"
        ]
      }
    }
  }'

​

Response

{
  "urgency": {
    "type": "score",
    "score": 1,
    "expected_level": 0.9015099730675683,
    "confidence": 0.7587802709097535,
    "probabilities": {
      "0": 0.11323658534089268,
      "1": 0.8720168562506462,
      "2": 0.014746558408461077
    },
    "legend": {
      "0": "low urgency, can wait",
      "1": "medium urgency, handle soon",
      "2": "high urgency, handle immediately"
    }
  }
}

• score — a discrete integer index, the argmax level.
• expected_level — Σ(level × probability), the continuous, probability-weighted position across all levels. Use it when you want finer-grained thresholds than the discrete index provides.
• legend isn’t generated by the model — the API builds it from your own criteria, indexed.
• confidence — top1 − top2, same formula as Choice, from 0 (two adjacent levels tied) to 1 (one level has ~all the probability mass). See Confidence for how to act on it.

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Using the result

answer = response["answers"]["urgency"]

if answer["score"] >= 2:
    action = "page_oncall"
elif answer["expected_level"] >= 1.5:
    action = "escalate"  # closer to the next level up than a clean 1
else:
    action = "standard_queue"

​

Related

• Noul — a yes/no decision with a probability
• Choice — pick one of several named options
• Decision Models — primitives overview, limits, and the full request contract
• GLiDE — what GLiDE is and when to use it