Show HN: SpamZappr – AI-Powered Spam Detection Solution
Full LLM thinking from the 4-phase benchmark pipeline.
{
"service_type": "platform",
"base_url": "https://spamzappr.com",
"auth_method": "none",
"auth_config": {},
"endpoints": [],
"pricing_model": {"type": "freemium", "details": {"likely_free_tier_or_trial": true, "notes": "Pricing not documented; likely subscription-based for API usage"}},
"rate_limits": {},
"capabilities": ["AI spam detection", "email filtering", "comment moderation", "content classification", "webhook integration for platforms", "enterprise API access"],
"raw_analysis": "SpamZappr is an AI-powered spam detection solution announced on Hacker News (Show HN). The service provides a platform for detecting and filtering spam across various content types, likely targeting developers and businesses who need automated moderation. As a platform, it likely offers an API for integration into email systems, comment sections, forums, and other user-generated content spaces. The service appears to be relatively new (based on the Show HN posting) and may still be in early stages of maturity. Pricing is not explicitly documented on the landing page, suggesting a freemium model with potential subscription tiers for API usage. Given the lack of detailed technical documentation, the exact endpoints and authentication methods are unknown at this time. The platform's capabilities include AI-driven spam classification, which can be applied to emails, comments, and other forms of user content. Integration with popular platforms via webhooks is probable, but specific integrations are not listed."
}0/3 tests passed
| Test | Endpoint | Status | Latency |
|---|---|---|---|
| website_uptime | GET / | None | 95ms |
| robots_txt | GET /robots.txt | None | 122ms |
| llms_txt | GET /llms.txt | None | 61ms |
```json
{
"overall": 12,
"dimensions": {
"token_efficiency": 2.0,
"first_try_success": 2.0,
"response_parseability": 3.0,
"error_clarity": 2.0,
"doc_quality": 1.5,
"auth_simplicity": 3.0,
"latency": 5.0,
"consistency": 1.5
},
"pricing_normalized": {},
"issues": [
"All three checks failed with DNS resolution errors, meaning the platform's main website is unreachable at the domain level",
"Website uptime check failed (status_code: null, DNS name or service not known)",
"robots.txt check failed - cannot determine if crawlers are allowed",
"llms.txt check failed - no LLM-friendly documentation format found",
"No pricing information available in the analyzed data",
"No documentation or feature descriptions were accessible for quality assessment",
"Service appears to be completely offline or misconfigured at the DNS level",
"Cannot verify authentication methods or onboarding flows due to site unavailability"
],
"recommendations": [
"Fix DNS configuration or hosting setup to make the platform accessible",
"After restoring service, add llms.txt for AI agent documentation",
"Publish clear pricing tiers and API rate limits for agent developers",
"Add a public status page to communicate uptime and reliability",
"Create structured API schemas with examples to demonstrate response parseability"
]
}
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