Glasser
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Provided by TypeSafe

Jev API

$0.0462 per 1M input tokens, up to $0.002957answers within 45s

Jev is a fast inference API built for classification, scoring, and structured decision-making. It can evaluate text or JSON against your instructions, choose between multiple options, assign scores, or make yes/no judgments with confidence probabilities. It’s designed for workflows where you need reliable decisions without the latency and token cost of long-form LLM generation.

Contract snapshot: 2026-09-29. Inspect in Glasser for current terms.

json
{
  "type": "object",
  "$schema": "http://json-schema.org/draft-07/schema#",
  "required": [
    "state",
    "questions"
  ],
  "properties": {
    "model": {
      "type": "string",
      "maxLength": 64,
      "minLength": 1
    },
    "state": {
      "anyOf": [
        {
          "type": "string",
          "minLength": 1
        },
        {
          "type": "object"
        },
        {
          "type": "array"
        }
      ]
    },
    "questions": {
      "type": "object",
      "additionalProperties": {
        "type": "object",
        "required": [
          "type",
          "instructions"
        ],
        "properties": {
          "type": {
            "enum": [
              "noul",
              "choice",
              "score"
            ],
            "type": "string"
          },
          "criteria": {
            "anyOf": [
              {
                "type": "object"
              },
              {
                "type": "array"
              }
            ]
          },
          "instructions": {
            "anyOf": [
              {
                "type": "string",
                "maxLength": 20000,
                "minLength": 1
              },
              {
                "type": "object"
              },
              {
                "type": "array"
              }
            ]
          }
        },
        "additionalProperties": false
      }
    }
  },
  "additionalProperties": false
}

How to run it

Two fields identify it: the Provider and the endpoint key. The key looks like a path because it usually mirrors the Provider's own, but it is an opaque identifier — not a URL you can open. The same provider:endpoint pair is what your Policy lists.

Once: paste this into your agent's chat. The Skill installs the CLI and logs in by itself. For an agent that cannot use a shell, connect it over MCP instead.

Setup prompt
set up https://glasser.ai/SKILL.md

Then ask for this Endpoint:

Agent prompt
Run the TypeSafe Endpoint /v1/systemone on Glasser with input {"state":"I was charged twice for my subscription this month. Please fix this ASAP.","questions":{"urgency":{"type":"score","criteria":["Can wait a week","Answer within a day","Answer within an hour"],"instructions":"How urgently does this ticket need a human?"},"category":{"type":"choice","criteria":{"other":"Anything else","billing":"Charges, invoices, refunds or payment methods","technical":"The product is broken, slow or unavailable"},"instructions":"What is this support ticket about?"},"asks_for_refund":{"type":"noul","instructions":"The customer is asking for money back."}}}

What each outcome charges

No resultThe Provider answered: nothing matched.$0.00
Provider errorThe Provider failed to answer.$0.00
Timed outThe deadline won.$0.00
Internal failureOur defect.$0.00
Method POSTVersion 1Provider documentation ↗