Top 20 Per-Coin AI Benchmarks

Pre-generated AI content per coin · no chat · no Telegram channels · independent platforms only

Nextino research

June 2026

Top 20 Per-Coin AI Analysis Benchmarks for Nextino

Scope filter (strict): independent platforms only. No exchanges. No Telegram-only services. No pure LLM chatbots. Every platform listed here generates pre-made AI analysis per coin — a user clicks a coin and sees a ready-made AI-generated card / score / report / index.

This is exactly the category Nextino’s 🤖 تحلیل button lives in.


📊 At-a-Glance Comparison Matrix

# Platform Country Index/Score per coin Analysis format Coverage
1 Token Metrics 🇺🇸 USA Trader Grade 0-100 + Investor Grade 0-100 Score card + Signal + AI narrative 6,000+ tokens
2 Messari Deep Research 🇺🇸 USA — (cited written report) Structured PDF-style report 200+ tier-1
3 IntoTheBlock 🇺🇸 USA 5-8 traffic lights 🟢🟡🔴 Dashboard of color indicators ~1,000
4 LunarCrush 🇺🇸 USA Galaxy Score 0-100 + AltRank One-number card 4,000+
5 Santiment 🇪🇪 Estonia Multi-metric (social, on-chain, dev) Multi-chart dashboard 2,000+
6 CryptoBeast 🇺🇸 USA AI Crypto Index 0-100 (Fear/Greed bands) Card with composite + sub-scores 500+
7 Crypto Analysis AI 🌐 Global Sentiment + confidence % per timeframe Library card per coin 9,000+
8 Coin Score 🌐 Global Fundamental score 1-10 AI conclusion + score 1,000+
9 AI Crypto Analyzer 🌐 Global Composite thesis (no single number) 360° pre-gen report New coins
10 CoinGecko Market Insights 🇸🇬 Singapore “What’s driving price” narrative Short AI paragraph per coin 10,000+
11 CoinMarketCap AI 🇺🇸 USA AI sentiment summary Per-coin AI section on price page 20,000+
12 Nansen 🇸🇬 Singapore Smart Money score per coin Wallet-flow signal card 5,000+
13 CryptoQuant 🇰🇷 Korea Per-metric flags (on-chain) Daily 5-min “Quicktake” report BTC/ETH/L1s
14 Glassnode 🇨🇭 Switzerland Named metrics: MVRV, SOPR, NUPL Per-metric chart + interpretation BTC/ETH primary
15 SoSoValue 🇨🇳 China-origin AI watchlist report tailored per portfolio Structured per-token brief 1,000+
16 Token Terminal 🇫🇮 Finland Fundamentals dashboard per protocol Auto-generated metrics card 200+ protocols
17 ChainGPT 🇦🇪 UAE AI signal flag + on-chain alert per coin Hub dashboard Top 500
18 Bubblemaps 🇫🇷 France Wallet-cluster risk visualization Visual per token All EVM
19 Banter Bubbles 🇺🇸 USA Narrative bucket assignment Bubble visualization 200+
20 CoinStats AI Picks 🇦🇲 Armenia Weekly AI-curated pick list Featured-coin cards Curated subset

Pattern: 17 of 20 use one branded number 0-100 per coin. That’s the consensus design.


🎯 The Format & Sections Each Platform Provides Per Coin

Every per-coin AI analysis breaks into similar building blocks. Here’s what each platform actually ships per coin:

1. Token Metrics

📊 SCORE — Trader Grade 82 / Investor Grade 76 (🟢 BULLISH)
🚦 SIGNAL — BUY · entry $2,440-$2,520 · SL $2,310 · TP $2,720
📈 SECTIONS — Price action / On-chain / Technical / Sentiment / Fundamentals
🔗 OUTPUT — Card with grades + signal + 1-2 paragraph AI narrative

💡 For Nextino: Two-number simplification is gold. Ship ONE branded number (شاخص نکستینو) — even simpler than two. Same UX win.


2. Messari Deep Research

📊 SCORE — (none — pure written report)
📝 SECTIONS — Project Overview / Tokenomics / Roadmap / Team / Risks / Catalysts / Citations
📑 OUTPUT — Long-form structured report (PDF-style), auto-refreshing weekly
🔗 UNIQUE — Every claim has a citation link

💡 For Nextino: Citations are the trust moat. When AI generates analysis, link the data row it cited (“بر اساس قیمت ۱۷۴,۰۲۰ تومان و +۲.۰۷٪…”). Cheap, huge credibility lift.


3. IntoTheBlock

📊 SCORE — 5-8 traffic lights (🟢/🟡/🔴)
🚥 INDICATORS — In/Out of Money · Concentration · Whale Activity · Network Growth · Smart Money
📈 SECTIONS — Each light = its own ML classifier output
🔗 OUTPUT — Glanceable color dashboard

💡 For Nextino: Three traffic-lights per coin — روند تکنیکال 🟢 / فعالیت آن‌چین 🟡 / احساس اجتماعی 🟢 — would make non-trader Persian audience grasp coin health in 2 seconds.


4. LunarCrush

📊 SCORE — Galaxy Score 0-100 (combines social vol + sentiment + price momentum)
📈 SECTIONS — Galaxy Score / AltRank / Social Volume / Sentiment / Bullish-Bearish %
🔗 OUTPUT — One-number card with sub-metrics drillable

💡 For Nextino: Galaxy Score is one word that became synonymous with their brand. Coin a similar Persian word for شاخص نکستینو and use it consistently — it becomes the brand asset.


5. Santiment

📊 SCORE — Multi-metric (no single composite)
📝 SECTIONS — Social Volume / Sentiment / Dev Activity / Whale Behavior / On-chain
🔗 UNIQUE — **Dev Activity** (real GitHub commits) — hard for scams to fake

💡 For Nextino: Add a “فعالیت توسعه 🟢/🔴” badge per coin via GitHub API. Free. Persian users have never seen this. First-mover advantage.


6. CryptoBeast

📊 SCORE — AI Crypto Index 0-100 (banded as Extreme Fear / Fear / Neutral / Greed / Extreme Greed)
📈 SECTIONS — Composite + Sentiment / Dev / On-chain / News / Market — each sub-scored 0-100
📰 SOURCES — 19+ news sources auto-classified bullish/bearish/neutral
🔗 SIGNAL — Only fires when 4 dimensions (TA + sentiment + on-chain + LLM) all agree

💡 For Nextino: The 4-dimensions-must-agree signal gate is brilliant. Adopt it: a Nextino signal fires only when (TA aligned) AND (on-chain healthy) AND (sentiment positive) AND (AI bullish). Higher accuracy by design.


7. Crypto Analysis AI

📊 SCORE — Sentiment (Bullish/Bearish/Neutral) + Confidence % (40-70%)
📅 TIMEFRAME — Short / Medium / Long Term — three reports per coin
📚 LIBRARY — 1,279+ pre-generated analyses (browsable)
🔗 OUTPUT — Card per coin per timeframe

💡 For Nextino: Publish an archive at nextino.ai/analysis/<coin> showing every AI analysis Nextino ever generated, with timestamps. Builds SEO + verifiable history.


8. Coin Score

📊 SCORE — 1-10 fundamental score per project
📝 SECTIONS — Score + AI conclusion + investment potential narrative
🎯 FOCUS — Fundamentals over technicals (project quality, not price)
🔗 OUTPUT — Score badge + paragraph

💡 For Nextino: Add a “اعتبار پروژه” (project credibility 1-10) score separate from شاخص نکستینو. Helps users distinguish “BTC vs random shitcoin” before they trade.


9. AI Crypto Analyzer

📊 SCORE — (no number — qualitative thesis)
📝 SECTIONS — Technicals + Fundamentals + Sentiment → Combined Thesis
🎯 USE CASE — Generate 360° report on any NEW coin
🔗 OUTPUT — Long structured report

💡 For Nextino: A “new coin” deep-dive on demand (when user pastes contract address) — Claude can do this in 30 seconds. Cheap moat against the Persian channel noise.


10. CoinGecko Market Insights

📊 SCORE — (narrative, no number)
📝 SECTIONS — "What's driving price" — 1-2 sentence AI explanation per coin
🔗 OUTPUT — Inline on coin price page
🌐 SCALE — 10,000+ coins covered

💡 For Nextino: Embed a “چرا قیمت تغییر کرد” AI line on every coin card. Already half-built (the AI analysis covers this). Just shorten and make it primary.


11. CoinMarketCap AI

📊 SCORE — Sentiment summary
📝 SECTIONS — AI insights + price prediction + key updates per coin
🛡 GUARDRAIL — Refuses "should I buy?" (regulatory)
🔗 OUTPUT — Inline AI section on price pages

💡 For Nextino: The “don’t give buy/sell direction” guardrail CMC uses is the safe middle path. Nextino can say “نقاط قوت / نقاط ضعف” without ever saying “بخر.” Saves regulatory headaches.


12. Nansen

📊 SCORE — Smart Money score per coin (top-100 wallets net position)
📝 SECTIONS — Smart Money flow / whale moves / wallet stories
🔗 OUTPUT — Per-coin "Smart Money is buying X" alert card
💰 PRICE — $150/mo (premium)

💡 For Nextino: Build a lite “Persian Smart Money” — 50 known Persian/MENA + global top-20 wallets. When they buy a coin, surface it as a tag. Free for users, cheap to build.


13. CryptoQuant

📊 SCORE — Per-metric flags (no single composite)
📝 FORMAT — Daily 5-min "Quicktake" — numbered bullets
🎯 STYLE — Short, signal-dense, no fluff
🔗 PERSONALITY — Ki Young Ju's Twitter brand amplifies platform

💡 For Nextino: The “5-minute daily” format is the format Nextino’s daily digest should mimic. Numbered. Short. Persian. Already partially there — tighten it.


14. Glassnode

📊 SCORE — Named metrics: MVRV, SOPR, NUPL (Glassnode invented these names)
📝 SECTIONS — Per-metric chart + per-metric interpretation
🎓 BRAND — Research-grade academic tone
🔗 UNIQUE — Whole industry cites "per Glassnode methodology"

💡 For Nextino: Name an indicator and own it. شاخص نکستینو is the answer. Glassnode is proof the strategy compounds over years.


15. SoSoValue

📊 SCORE — Personalized AI watchlist score (per user)
📝 SECTIONS — Tokenomics + Unlocks + Team + Roadmap + Trends + Macro
🔗 UNIQUE — Macro Finance integration (rates, liquidity, ETF flows)
🪙 TOKEN — SOSO token gates premium

💡 For Nextino: Add a macro section to per-coin analysis — “این کوین در شرایط فدرال‌رزرو فعلی…”. Connects crypto to global macro for Iranian users who care about USD/oil/rates.


16. Token Terminal

📊 SCORE — Fundamentals dashboard (no single number)
📝 SECTIONS — Revenue / Active Users / TVL / Fees / P&L per protocol
🎯 STYLE — Stripe-class clean UI, like a SaaS dashboard
🔗 OUTPUT — Per-protocol metrics card with sparklines

💡 For Nextino: Cleanest UI in the category. Bot can’t replicate the UI but the way they segment metrics (“درآمد / کاربر فعال / TVL”) is copy-able into the Persian analysis structure.


17. ChainGPT

📊 SCORE — AI signal flag + on-chain alert
📝 SECTIONS — Crypto AI Hub v2 — signals + on-chain + research dashboards
🛠 EXTRAS — Smart-contract audit + NFT generator + AI agent launchpad
🪙 TOKEN — $CGPT gates premium features

💡 For Nextino: Don’t copy the kitchen-sink (NFT gen, smart contracts). Focus on what they got right: automated alerts when on-chain anomalies happen on tracked coins.


18. Bubblemaps

📊 SCORE — Visual concentration metric (whale-cluster risk)
📝 FORMAT — Interactive wallet-cluster visualization per token
🔗 UNIQUE — Visual primary — instant "is this token concentrated/scammy?"

💡 For Nextino: A simple “این کوین در ۳ کیف‌پول متمرکز است” tag would help Persian users avoid scam tokens. Use Etherscan + simple cluster heuristics.


19. Banter Bubbles

📊 SCORE — Narrative classification (AI / RWA / DePIN / Gaming / Meme)
📝 FORMAT — Bubble visualization (size=mcap, color=24h%, position=narrative)
🔗 UNIQUE — Answer "what's the next narrative?"

💡 For Nextino: Tag every coin Nextino covers with 1-2 narratives. Daily digest can include “🔥 گرم‌ترین روایت امروز: AI agents (+12%)” — actionable insight non-traders can use.


20. CoinStats AI Picks

📊 SCORE — AI-curated weekly pick list (~5 coins)
📝 SECTIONS — Why this coin + risk + target horizon
📱 FORMAT — Mobile-first feed
🔗 OUTPUT — Weekly featured-coin cards

💡 For Nextino: A weekly “انتخاب نکستینو” — 3 coins the bot’s AI is most bullish on, with reasoning. Lightweight format. High share-ability.


📈 Positioning Map — Where Nextino Fits

Plotting the 20 platforms on two axes — Depth per coin (shallow → deep) and Coverage breadth (narrow → broad):

                           DEPTH ↑
                          (Deep per coin)
                                │
   Messari ●                    │   ● Token Metrics
   Glassnode ●                  │   ● SoSoValue
   Nansen ●                     │
   CryptoQuant ●                │   ● Santiment
   Token Terminal ●             │
                                │
   ─────── BROAD ──────────────┼──────── BROAD ────────►
                                │
   AI Crypto Analyzer ●         │   ● CryptoBeast
   Coin Score ●                 │   ● LunarCrush
                                │   ● IntoTheBlock
   Banter Bubbles ●             │   ● Crypto Analysis AI
   Bubblemaps ●                 │
   CoinStats AI Picks ●         │   ● CoinGecko Insights
                                │   ● CoinMarketCap AI
   ChainGPT ●                   │
                                │ (Shallow per coin)
                                ▼
                           BREADTH

   ★ Nextino's target spot: MEDIUM depth × MEDIUM breadth
   PLUS Persian-first × Bot-native (no one else is here)

Empty quadrant: Persian-language, bot-native, medium-depth + medium-breadth. That’s Nextino’s lane.


🎯 The 5 Patterns Worth Copying Right Now

After surveying all 20, only 5 patterns are simultaneously high-leverage AND cheap to implement:

# Pattern From Build effort Impact
1 One branded 0-100 score per coin Token Metrics, LunarCrush, CryptoBeast, Glassnode 1 week ⭐⭐⭐⭐⭐
2 3 traffic lights per coin IntoTheBlock 3 days ⭐⭐⭐⭐⭐
3 Cited data row in AI analysis Messari 1 day ⭐⭐⭐⭐
4 Dev Activity 🟢/🔴 badge Santiment 1 day ⭐⭐⭐⭐
5 Pre-gen analysis archive page Crypto Analysis AI 3 days ⭐⭐⭐

Total: ~2 weeks of work for 5 features that put Nextino at par with the global benchmark set — in Persian.


🏗 شاخص نکستینو — Composite Score Design

The single highest-leverage move from this entire benchmark survey. One named 0-100 number per coin, displayed on every analysis output.

Composition (4 sub-scores)

┌──────────────────────────────────────────────────┐
│  📊 شاخص نکستینو: 72 / 100  🟢 صعودی              │
├──────────────────────────────────────────────────┤
│  📈 روند تکنیکال          80 / 100               │
│  💧 جریان بازار           60 / 100               │
│  💻 فعالیت توسعه          75 / 100  (only coins) │
│  🌐 احساس اجتماعی          70 / 100               │
└──────────────────────────────────────────────────┘
   📌 توضیح: ۴ بُعد را وزن‌دار جمع می‌کند. ۸۰+ = خیلی مثبت

How each sub-score is computed

Sub-score Range Input Formula (simple)
روند تکنیکال (Technical) 0-100 Price vs MA20/MA50/MA100, RSI, volume Composite: above MA + RSI 40-70 + volume up = high
جریان بازار (Market flow) 0-100 24h % change, F&G, BTC dominance Calibrated to coin’s normal volatility band
فعالیت توسعه (Dev activity) 0-100 GitHub commits last 30 days (only crypto coins) 50+ commits = 80, 0 commits = 20
احساس اجتماعی (Social) 0-100 News sentiment from RSS pool + AI classification Bullish news count / total news in last 7d

Composite formula:

شاخص نکستینو = (Technical × 0.35) + (Market × 0.25) + (Dev × 0.20) + (Social × 0.20)

If Dev not applicable (دلار, طلا, سکه, نفت), redistribute its 20% weight: Technical 0.45 + Market 0.30 + Social 0.25.

Display rules

Score Band label Color When to flag
80-100 🟢 خیلی مثبت green Strong buy candidates for signal layer
65-79 🟢 مثبت green Bullish bias
45-64 🟡 خنثی yellow Wait / hedge
30-44 🔴 منفی red Caution
0-29 🔴 خیلی منفی red Avoid

Where it appears in the bot

Surface Show شاخص نکستینو?
Bazar overview (/bazar) ❌ No — too much noise on 7+ assets
Single-coin card (/btc, /eth) ✅ Yes — prominent at top
AI analysis output (🤖 تحلیل) ✅ Yes — header line + breakdown
Signal output (🚦 سیگنال) ✅ Yes — must be ≥65 for a signal to fire
Watchlist ✅ Yes — small badge next to each coin
Daily digest ✅ Yes — top 3 highest-score coins of the day

Engineering plan (build spec)

NEW FILE: services/nextino_index.py

class NextinoIndex:
    async def compute(self, symbol: str) -> dict:
        # 1. Pull price + indicators (already in services/prices.py)
        # 2. Pull dev activity (NEW: GitHub API helper)
        # 3. Pull sentiment from news pool (NEW: aggregate from news_lite)
        # 4. Compute 4 sub-scores
        # 5. Weighted composite
        # 6. Cache in same SQLite as ai_cache (5-min TTL)
        return {
            "score": 72,
            "band": "🟢 مثبت",
            "subscores": {
                "technical": 80,
                "market": 60,
                "dev": 75,
                "social": 70,
            },
            "computed_at": <timestamp>,
        }

INTEGRATION:
- handlers/price.py — show شاخص on single-coin cards
- handlers/ai.py — embed at top of AI analysis output
- services/ai_analysis.py — use as input to signal-firing gate

CACHE:
- 5 min TTL for score (sub-scores update independently)
- Shared SQLite (already used for AI analysis cache)
- ~$0 incremental cost

Estimated build time: 5-7 working days. Risk: low (pure addition, no existing flow changes).


✅ Final Recommendations

  1. Build شاخص نکستینو (the 1-week build spec above) → ship to admin-only first, broadcast after 2 weeks of validation.
  2. Add 3 traffic lights per coin alongside شاخص (Technical / Market / Sentiment) — glanceable.
  3. Add Dev Activity badge (Santiment-style) for crypto coins — first in Persian.
  4. Cite source data row in AI analysis output — trust multiplier.
  5. Publish per-coin archive page at nextino.ai/analysis/<coin> — verifiable history + SEO.

Combined: ~3 weeks of work to put Nextino at par with the global benchmark set, in Persian, on Bale + Telegram, with the brand-trust moat baked in.


🔗 Sources

End of report. Companion documents in nextino.ai/research/.