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Data extraction

Turn a free-text note into structured, typed fields.

Try it live

This is the real thing, not a mockup. Edit the input, hit Run, and Jev returns every typed answer in one round trip — free, no signup. Now picture the same call fired across thousands of items in parallel.

POST api.typesafe.ai/v1/systemone
state — the input software gives Jev263c
questions — the typed decisions you want back
choicedepartment
Which department should handle this?
one of: receiving, sales, finance, it
noulis_complaint
Is the caller reporting a problem or defect?
probability 0.0 … 1.0
scorepriority
How time-sensitive is a callback?
→ 0…3 · 4 levels
real API · free · no signup
Typed, calibrated output appears here.
Pick a demo, tweak the input, and hit Run Jev.
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The decisions Jev makes

In a single call, Jev evaluates each of these — in parallel, against the same input:

choicedepartment

Which department should handle this?

picks one of these options:

  • receiving — warehouse receiving / logistics
  • sales — sales
  • finance — finance / accounts payable
  • it — IT support
noulis_complaint

Is the caller reporting a problem or defect?

returns a calibrated yes/no probability.

scorepriority

How time-sensitive is a callback?

rates it on an ordered scale:

  1. whenever
  2. this week
  3. today
  4. immediately

The exact request

This is the real payload behind the live demo — copy it, change the state, and you're building:

{
  "model": "jev-latest",
  "state": "Voicemail transcript: 'Hey it's Marco from the loading dock, uh, the shipment from Kellerman's showed up but two of the pallets are damaged, looks like water. It's the order from last Tuesday. Can someone call me back, it's kind of urgent, we can't shelve these.'",
  "questions": {
    "department": {
      "type": "choice",
      "instructions": "Which department should handle this?",
      "criteria": {
        "receiving": "warehouse receiving / logistics",
        "sales": "sales",
        "finance": "finance / accounts payable",
        "it": "IT support"
      }
    },
    "is_complaint": {
      "type": "noul",
      "instructions": "Is the caller reporting a problem or defect?"
    },
    "priority": {
      "type": "score",
      "instructions": "How time-sensitive is a callback?",
      "criteria": [
        "whenever",
        "this week",
        "today",
        "immediately"
      ]
    }
  }
}

Wire it into your code

Read the typed answers and branch in plain code — no parsing. Auto-handle the high-confidence cases and route the uncertain ones to a bigger model or a human. It's one API call and output is free, so ask every question you need at once.

Build your own

Every scenario above is a single API call. Try any of them free in the playground, then get a hosted key to ship it in minutes.

Run this demo ▶Get an API key →
Data extraction — a Jev use case with a live demo · Jev by TypeSafe AI