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MindPulse Mental Health Assessment API
x402
MindPulse Mental Health Assessment API is a paid API for AI agents from mindpulse.theaslangroupllc.com, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-14).
Returns an evidence-based mental health assessment with estimated PHQ-9/GAD-7 scores, likely condition, severity level, self-help resources, and next-step guidance
Price / call$0.1
Success—
StatusUnknown
How this service works
Mental health symptom assessment for mental-health and wellness agents. Uses the PHQ-9/GAD-7 framework with severity interpretation and clear next steps.
Output
A JSON object containing: severity level (e.g. 'moderate'), a recommended next step (e.g. 'consult a licensed therapist'), an array of self-help suggestions (e.g. CBT workbook, MBSR), a crisis line number (988), an estimated GAD-7 score, an estimated PHQ-9 score, and a likely condition label (e.g. 'generalised anxiety disorder')
Example use cases
Depression screening for wellness app
“I've been feeling really down, losing interest in things I used to enjoy, and struggling to get out of bed most mornings for the past three weeks — can you assess my symptoms and give me an estimated PHQ-9 score plus tell me what to do?”
Anxiety triage before therapy search
“I've been having racing thoughts, constant worry about everything, and physical tension for months — run a mental health assessment on my symptoms and tell me how severe my anxiety might be and whether I need a psychiatrist or a therapist”
Crisis risk check after burnout disclosure
“I told my HR chatbot I've been feeling completely hopeless and exhausted and don't see the point anymore — can you do a MindPulse assessment on these symptoms and tell me the severity, any likely conditions, and whether I need to call a crisis line?”
Technical details
Endpoint
GEThttps://mindpulse.theaslangroupllc.com/api/mind/assessmentWhen to prefer
Use this endpoint when you need a rapid, evidence-based mental health triage that returns structured clinical estimates (PHQ-9, GAD-7) alongside actionable next steps and self-help resources — particularly when building mental health agents, wellness apps, or HR tools that need a lightweight screening layer before routing users to professional care. Prefer this over generic LLM mental health responses when you need standardised severity scoring and crisis line integration in a single structured call.
Side effects
- Missing or ambiguous symptom input may produce low-confidence estimates
- Endpoint may return generic guidance if symptoms don't map clearly to a condition
- Payment failure (402) if USDC balance insufficient for the $0.10 per-call fee
- Rate limiting or timeout if the service is under high load
- Scores are estimates only — not a formal clinical diagnosis and should not replace professional evaluation
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"severity": "moderate",
"next_step": "Consult a licensed therapist or psychiatrist for formal diagnosis",
"self_help": [
"CBT workbook",
"Mindfulness-Based Stress Reduction"
],
"crisis_line": "988",
"gad7_estimated": 13,
"phq9_estimated": 11,
"likely_condition": "generalised anxiety disorder"
}
}Tags
x402
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