Overview

Comprehensive content quality assessment across 9 educational criteria: curriculum_alignment, cognitive_demand, accuracy_and_rigor, image_quality, reveals_misconceptions, question_type_appropriateness, engagement_and_relevance, instructional_support, and clarity_and_accessibility. Ideal for math question content quality, curriculum alignment, and cognitive demand assessment.

Key Features

Educational Criteria

Content Quality:

• ✓ Curriculum Alignment
• ✓ Cognitive Demand Assessment
• ✓ Accuracy & Rigor Validation

Pedagogical Design:

• ✓ Reveals Misconceptions
• ✓ Question Type Appropriateness
• ✓ Engagement & Relevance

Accessibility:

• ✓ Image Quality Assessment
• ✓ Instructional Support
• ✓ Clarity & Accessibility

Output

Simplified:

{"math_content_evaluator": {"overall": 0.89}}

Full mode (--full):

{
  "math_content_evaluator": {
    "overall": 0.89,
    "scores": {
      "curriculum_alignment": 1.0,
      "cognitive_demand": 1.0,
      "accuracy_and_rigor": 1.0,
      "image_quality": 0.0,
      "reveals_misconceptions": 1.0,
      "question_type_appropriateness": 1.0,
      "engagement_and_relevance": 1.0,
      "instructional_support": 1.0,
      "clarity_and_accessibility": 1.0
    },
    "passed_criteria": 8,
    "total_criteria": 9
  }
}

Scoring: Each criterion is evaluated as pass (1.0) or fail (0.0). Overall score = pass_count / 9

Usage

curl -X POST "https://api.inceptapi.com/evaluate" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer INCEPT_API_KEY" \
  -d '{
    "evaluators_to_run": ["math_content_evaluator"],
    "generated_questions": [...]
  }'

Performance: ~10s per question | Subject: Mathematics | Scale: 0-1 (pass_count / 9) | Applies to: Questions and text content

Input Schema: Generated Question Schema → | Generated Content Schema → | Request Schema →

See full documentation →