Schema Reference

Complete documentation of all response schemas returned by Respectify APIs.

Core Schemas

Schema	Description
CommentScore	Full comment quality analysis with toxicity, fallacies, and tone
SpamDetectionResult	Spam detection result
CommentRelevanceResult	On-topic and banned topics analysis
DogwhistleResult	Coded language detection
MegaCallResult	Combined results from batch operations
InitTopicResponse	Topic initialization response
UserCheckResponse	Credential verification and subscription status

Field Naming Conventions

JSON responses use snake_case. Each language SDK maps to its conventions:

JSON (REST)	Python	PHP
is_spam	is_spam	isSpam
overall_score	overall_score	overallScore
on_topic	on_topic	onTopic
banned_topics	banned_topics	bannedTopics
toxicity_score	toxicity_score	toxicityScore

Common Patterns

Confidence Scores

All confidence fields are floats from 0.0 to 1.0:

• 0.0: No confidence
• 0.5: Moderate confidence
• 1.0: High confidence

Optional Fields

Some schemas have optional nested objects (e.g., DogwhistleResult.details). These are:

• Python: None
• PHP: null
• JSON: null or absent

Always check before accessing:

if result.details:
    print(result.details.dogwhistle_terms)

Arrays

Arrays are empty [] when no items found, not null:

# Safe - always iterable
for fallacy in result.logical_fallacies:
    print(fallacy.fallacy_name)