Get psychometrics for a snapshot | Mind Reasoner API Documentation

1 import requests 2 3 url = "https://docs.mindsim.com/api/public/v1/snapshots/123e4567-e89b-12d3-a456-426614174003/psychometrics" 4 5 headers = {"Authorization": "Bearer <token>"} 6 7 response = requests.get(url, headers=headers) 8 9 print(response.json())

1 { 2 "personDetails": { 3 "id": "123e4567-e89b-12d3-a456-426614174000", 4 "slug": "john-doe", 5 "name": "John Doe", 6 "imageUrl": "https://example.com/avatar.jpg", 7 "mindDate": "January 1, 2025", 8 "mindAssesssmentId": "123e4567-e89b-12d3-a456-426614174003" 9 }, 10 "dimensionAnalysis": { 11 "emotional_tone": { 12 "score": 0.8, 13 "reasoning": "Positive emotional tone detected." 14 } 15 }, 16 "metaAnalysis": { 17 "summary": "Overall positive assessment." 18 }, 19 "topicsSentimentSummary": { 20 "topics": [ 21 { 22 "name": "Technology", 23 "sentiment": "Positive" 24 } 25 ] 26 }, 27 "mindReasonerStopError": null 28 }

Returns psychometric analysis data for a specific mind assessment snapshot

Authentication

AuthorizationBearer

API key passed as Bearer token in Authorization header (e.g., “Authorization: Bearer YOUR_API_KEY”)

Path parameters

snapshotIdstringRequired

Response

Successful response

personDetailsobject

dimensionAnalysismap from strings to any or null

Dynamic object containing dimension analysis data

metaAnalysismap from strings to any or null

Dynamic object containing meta analysis data

topicsSentimentSummarymap from strings to any or null

Dynamic object containing topics sentiment summary

mindReasonerStopErrorany or null

Error information if the mind reasoner stopped unexpectedly

Authentication

Path parameters

Response

Errors