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EduPulse Misconception Analyzer
x402
EduPulse Misconception Analyzer is a paid API for AI agents from edupulse.theaslangroupllc.com, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-14).
Identifies and explains the misconception behind a student's wrong answer to a given exam or study question
Price / call$0.1
Success—
StatusUnknown
How this service works
Misconception diagnosis / why is my answer wrong / knowledge-gap finder. Pinpoints the exact misconception behind a wrong answer, explains the correct reasoning, and names the concept to review. Works for any exam or subject worldwide.
Output
A structured JSON response explaining the specific misconception underlying the student's wrong answer, including what conceptual error was made and guidance on correcting the misunderstanding, tailored to the given subject and grade level.
Example use cases
SAT math wrong answer diagnosis
“My SAT math question was 'If 2x + 3 = 11, what is x?' and I answered x = 7 — can you figure out what misconception caused that mistake and explain it in English?”
High school chemistry concept error
“In my chemistry class the question was 'What happens to atoms during a chemical reaction?' and I said 'Atoms are destroyed and new ones are created.' What misconception does that reveal and how should I correct my thinking?”
Elementary arithmetic misunderstanding
“My 3rd-grade student got this math question wrong: 'What is 6 × 7?' and answered 42 but for the wrong reason — they said 'because 6 + 7 = 13 and 13 × something = 42.' Can you identify the misconception at play here and explain it simply?”
Technical details
Endpoint
GEThttps://edupulse.theaslangroupllc.com/api/study/misconceptionWhen to prefer
Use this endpoint when you need to diagnose WHY a student got a specific question wrong — not just that they got it wrong, but the underlying conceptual misunderstanding. Prefer this over a general concept explainer when you have a specific wrong answer to analyze, and over a quiz generator when the goal is remediation rather than practice.
Side effects
- Missing required 'question' or 'answer' fields returns a validation error
- Vague or ambiguous question-answer pairs may produce generic misconception explanations
- Unsupported language codes in 'lang' may fall back to English or return an error
- Very domain-specific or niche exam questions may yield lower-quality misconception analysis
- Empty response schema suggests response structure may vary and could be inconsistent
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| lang | string | lang |
| level | string | Grade level or exam type |
| answerrequired | string | The student's wrong answer |
| subject | string | subject |
| questionrequired | string | The exam/study question |
Output
Schema · Response
{
"type": "json",
"example": {}
}Tags
x402
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