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Hugging Face vs Groq: AI Search & MCP Readiness
Category: Open Model Hub vs Ultra-Low-Latency Tokens · Measured UTC via aso-live-probe
Measured verdict: Hugging Face leads Groq by 22 points (56/100 C vs 34/100 F) across ASO Studio’s 47-check HTTP, 29-crawler robots.txt, Markdown (/llms.txt, /pricing.md), MCP, OpenAPI, and Schema.org JSON-LD benchmark. Full individual grade-cards: huggingface.co (56/100) · groq.com (34/100).
Scope & limits: Side-by-side HTTP status codes and HTML structured data captured 2026-11-14 UTC; independent audit not affiliated with Hugging Face or Groq. Technical readiness does not guarantee AI citations or sales.
1. Side-by-Side HTTP & Agent Discovery Telemetry
| Signal / Endpoint | huggingface.co | groq.com |
|---|---|---|
| ASO Score & Grade | 56/100 (C) | 34/100 (F) |
| Cohort Rank | #28 | #36 |
| Edge TTFB · HTML | 171ms · 172 KB (8 scripts) | 257ms · 54 KB (49 scripts) |
/robots.txt (29 Bots) | 200 · 29/29 (0 explicit) | 200 · 29/29 (0 explicit) |
/sitemap.xml | 200 | 200 |
/llms.txt | 404 | 404 |
/llms-full.txt | 404 | 404 |
/pricing.md | 404 | 404 |
/.well-known/ai.txt | 401 | 404 |
/ai/summary.json | 401 | 404 |
/.well-known/mcp.json | 401 | 404 |
/.well-known/agent-card.json | 401 | 404 |
/.well-known/openapi.json | 200 | 404 |
JSON-LD @types | None | None |
2. Where Hugging Face Leads vs Where Groq Leads
Where Hugging Face (huggingface.co) leads:
- Overall 47-check readiness score (56/100 C vs 34/100 F)
- Faster root edge response (171ms TTFB vs 257ms)
- Serves live
/.well-known/openapi.json(HTTP 200vsHTTP 404)
Where Groq (groq.com) leads:
- Leaner root HTML payload (54 KB / 49 scripts vs 172 KB / 8 scripts)
Shared discovery gaps: Both huggingface.co and groq.com currently return non-200 responses on /llms.txt (404/404), /llms-full.txt (404/404), /pricing.md (404/404), /.well-known/ai.txt (401/404), /.well-known/mcp.json (401/404), /.well-known/agent-card.json (401/404).
One-time $49 · 26 files · Base USDC or Monero · no signup
Download free 3-file starter for groq.com (.txt) · EdgeScreen x402 ($0.002)
23 remaining production files
/.well-known/mcp.json, agent-card.json, openapi.json, llms-full.txt, pricing.md, answers.md, ai/*.json
Schema.org JSON-LD bundle, Cloudflare Worker edge headers, comparisons, GitHub Action CI verifier.
3. Compare Against Your Own Domain (Free Live Probe)
4. Self-Serve 26-File ASO Pack ($49)
Generate a tailored 26-file /llms-full.txt, /pricing.md, 29-crawler robots.txt, Schema.org @graph, and 14-route Edge Router .zip for groq.com or any domain you operate. Instant browser download via USDC on Base (Chain 8453), or Monero (XMR — verified within 24h) via non-custodial Trocador AnonPay. Inspect free sample .zip · Terms · EdgeScreen x402 ($0.002 USDC).
5. More Head-to-Head Readiness Comparisons
- Hugging Face vs Replicate (56/100 vs 53/100)
- Together AI vs Groq (68/100 vs 34/100)
- Hugging Face vs Together AI (56/100 vs 68/100)
- Cloudflare vs Vercel (89/100 vs 73/100)
- Supabase vs Neon (79/100 vs 30/100)
- Supabase vs Convex (79/100 vs 75/100)
- Turso vs Upstash (76/100 vs 74/100)
- Fly.io vs Render (76/100 vs 87/100)
All 60 head-to-head comparisons → · All 40 platform grade-cards →