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Recipe catalog / clickbait-level

Grade clickbait level

How much does headline rely on curiosity gaps, exaggeration, or emotional bait instead of stating what the content is?

You want to rank, flag, or reject headlines that manipulate readers into clicking rather than telling them what they will get.

Explore this recipe interactively ยท Source and implementation guide

Use clickbait-level in TypeScript

Install with npm install jev-recipes. Requires Node.js 22.9 or newer and ES modules. Set TYPESAFE_API_KEY in your server environment for live calls, which send input to TypeSafe and use API quota. See the installation guide.

import { clickbaitLevel } from 'jev-recipes/clickbait-level';

const result = await clickbaitLevel({
  "headline": "This One Kitchen Habit Is Secretly Destroying Your Health - Doctors Are Stunned",
  "minConfidence": 0.8
});
console.log(result);

Input contract

FieldTypeNeeded
headlinestringRequired
minConfidencenumberOptional
Full input and result schemas
{
  "input": {
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "type": "object",
    "properties": {
      "headline": {
        "type": "string"
      },
      "minConfidence": {
        "type": "number",
        "minimum": 0,
        "maximum": 1
      }
    },
    "required": [
      "headline"
    ]
  },
  "result": {
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "type": "object",
    "properties": {
      "model": {
        "type": "string"
      },
      "usage": {
        "type": "object",
        "properties": {
          "input_tokens": {
            "type": "integer",
            "minimum": 0,
            "maximum": 9007199254740991
          },
          "output_tokens": {
            "type": "integer",
            "minimum": 0,
            "maximum": 9007199254740991
          }
        },
        "required": [
          "input_tokens",
          "output_tokens"
        ],
        "additionalProperties": false
      },
      "status": {
        "type": "string",
        "enum": [
          "ready",
          "review"
        ]
      },
      "score": {
        "type": "number",
        "minimum": 0
      },
      "level": {
        "type": "integer",
        "minimum": 0,
        "maximum": 9007199254740991
      },
      "confidence": {
        "type": "number",
        "minimum": 0,
        "maximum": 1
      },
      "probabilities": {
        "type": "object",
        "propertyNames": {
          "type": "string"
        },
        "additionalProperties": {
          "type": "number",
          "minimum": 0,
          "maximum": 1
        }
      },
      "bait": {
        "type": "string",
        "enum": [
          "none",
          "mild",
          "moderate",
          "heavy",
          "extreme"
        ]
      }
    },
    "required": [
      "model",
      "usage",
      "status",
      "score",
      "level",
      "confidence",
      "probabilities",
      "bait"
    ],
    "additionalProperties": false
  }
}

Saved example result

This hand-authored response demonstrates the contract. It is not a model accuracy measurement. Run it without an API key: npx jev-recipes demo clickbait-level.

{
  "model": "demo-fixture",
  "usage": {
    "input_tokens": 0,
    "output_tokens": 0
  },
  "status": "review",
  "score": 2.92,
  "level": 3,
  "confidence": 0.62,
  "probabilities": {
    "0": 0.01,
    "1": 0.04,
    "2": 0.15,
    "3": 0.62,
    "4": 0.18
  },
  "bait": "heavy"
}

Evaluation evidence

Fixture only

No verified live accuracy measurement is available. Evaluate representative cases before using this decision in your workflow.

Use the evaluation guide to measure this decision on your own labeled cases.

Limitations

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