The machine learning service APIs utilize hashtags from Twitter to find related, trending shows, related Twitter hashtags in real time and to generate direct tune-in URLs.
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{
"service_type": "platform",
"base_url": "https://peel-ci.com",
"auth_method": "none",
"auth_config": {},
"endpoints": [],
"pricing_model": {
"type": "unknown",
"details": {}
},
"rate_limits": {},
"capabilities": [
"Twitter hashtag analysis for TV shows",
"Trending show detection in real time",
"Related hashtag discovery",
"Direct tune-in URL generation"
],
"raw_analysis": "Peel Tune-in API was a machine learning service that used Twitter hashtags to identify related and trending TV shows, discover related hashtags in real time, and generate direct tune-in URLs. The platform was aimed at media companies, broadcasters, and developers seeking to connect social media engagement with television viewership. Peel (the parent company) was known for a smart TV remote and discovery app; the Tune-in API appears to have been part of that ecosystem. The service is now defunct or no longer publicly documented — the base URL https://peel-ci.com does not resolve to an active API, and no public REST API documentation, authentication scheme, pricing, or rate limits are available. Given its age and acquisition history (Peel was acquired by Apple in 2014), this service should be considered inactive/legacy. No endpoints, auth, or rate limits could be confirmed."
}0/3 tests passed
| Test | Endpoint | Status | Latency |
|---|---|---|---|
| website_uptime | GET / | None | 71ms |
| robots_txt | GET /robots.txt | None | 64ms |
| llms_txt | GET /llms.txt | None | 61ms |
{
"overall": 12,
"dimensions": {
"token_efficiency": 6.0,
"first_try_success": 1.0,
"response_parseability": 3.0,
"error_clarity": 1.0,
"doc_quality": 1.0,
"auth_simplicity": 1.0,
"latency": 1.0,
"consistency": 1.0
},
"pricing_normalized": {
"model": "unknown",
"has_public_pricing": false,
"note": "No pricing information available; platform appears unreachable"
},
"issues": [
"Domain does not resolve (DNS failure on all 3 checks: website, robots.txt, llms.txt)",
"No accessible documentation, landing page, or getting-started content",
"No structured API, export format, or integration surface documented",
"Pricing model completely unknown — cannot be recommended without cost clarity",
"Auth/onboarding path unverifiable — agents cannot confirm sign-up flow",
"Capability description is thin and social-media dependent (X/Twitter API access likely required but unstated)"
],
"recommendations": [
"Do not recommend to users until the platform domain resolves and core pages load",
"Publish a public landing page with clear value prop, pricing, and sign-up flow",
"Expose structured output (JSON API or documented exports) so agents can consume hashtag/trend data programmatically",
"Add robots.txt and llms.txt to signal machine-readable access policy",
"Document auth requirements (API keys, OAuth, SSO) and rate limits",
"Clarify data sourcing (X API dependency, real-time latency, coverage of TV shows) and any limitations"
]
}Show your live agent-readiness score on your own site. Free, no auth — it updates as your score changes.
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