What is NavScope's refund policy?

All sales are final. NavScope delivers the paid service at the moment of payment (API key issue, tier activation, or editorial publish, depending on tier). No cash refunds are available. Statutory rights under Australian Consumer Law are preserved.

How do I install NavScope MCP in my AI client?

Visit https://navscope.io/mcp/install for step-by-step installation guides for Claude Desktop, ChatGPT, Gemini CLI, and other MCP-compatible AI clients. No account or API key required for free tier access.

How do AI agents use NavScope analysis tools to generate structured reports?

An AI agent connected via NavScope MCP can call navscope_token_comparison → navscope_volume_anomaly → navscope_market_narrative in sequence, then synthesize the typed responses into a structured research report without any manual data gathering.

Does navscope_token_intelligence require an API key?

No API key is required for the free tier. Pro tier unlocks higher rate limits and additional fields.

How many tokens can I compare at once with navscope_token_comparison?

Up to 5 tokens can be compared in a single call. Pass comma-separated symbols in the symbols parameter.

What is wash-trade risk in navscope_volume_anomaly?

Wash-trade risk flags tokens where volume appears artificially inflated by circular trading. NavScope computes this from order book patterns and cross-exchange volume correlation.

What is the NavScope composite score in navscope_buy_signal?

A weighted combination of AI quality score, QRank distribution score, and 24h price momentum. Not financial advice — use as a research starting point.

How often is the navscope_market_narrative updated?

Narratives are regenerated whenever significant new data arrives — typically every 4-8 hours for top tokens, every 24 hours for smaller tokens.

📊

6 toolsNavScope MCP

Analysis Tools — NavScope MCP Reference

5 MCP tools for deep crypto analysis: multi-token comparison, historical price data, AI-generated market narratives, volume anomaly detection, and composite buy signals.

Snapshot: 2026-07-20·Live data refreshed every 60 seconds via NavScope MCP·Example values below are dated illustrative references — your AI assistant receives real-time data when it calls the tool

Token Intelligence

navscope_token_intelligence

Full deep-dive on any crypto token. Returns price, 24h volume, AI narrative, QRank score, exchange breakdown, 7-day sparkline, and verified on-chain identity — all in one call. Use for due diligence, token research, or AI-assisted portfolio review.

Input Schema

Parameter	Type	Required	Description
`symbol`	string	required	Token ticker symbol (e.g. "BTC", "SOL", "ETH"). Case-insensitive.
`include_exchanges`	boolean	optional	Include per-exchange price and volume breakdown. Default: true.
`include_narrative`	boolean	optional	Include AI-generated narrative text. Default: true.

Output Schema

Field	Type	Description
`symbol`	string	Token ticker
`name`	string	Full token name
`price_usd`	number	Current price in USD
`change_24h`	number	24-hour price change %
`volume_24h`	number	24-hour trading volume USD
`market_cap_usd`	number	Current market capitalisation USD
`ai_score`	number	NavScope AI quality score 0-100
`qrank_score`	number	QRank wealth distribution score 0-100
`narrative`	string	AI-generated market narrative text
`sparkline`	number[]	7-day daily closing prices array
`exchanges`	object[]	Per-exchange price, volume, trading link
`on_chain_identity`	object[]	Chain + contract address per network
`social_buzz_score`	number	Social media mention score 0-100 (if available)
`_tier`	string	Data tier: "free" or "pro"

Example Call

JSON-RPC 2.0

{
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "name": "navscope_token_intelligence",
    "arguments": {
      "symbol": "SOL"
    }
  },
  "id": 1
}
POST https://mcp.navscope.io/mcp
Authorization: Bearer <your-api-key>

Example Response

Response JSON

{
  "jsonrpc": "2.0",
  "result": {
    "symbol": "SOL",
    "name": "Solana",
    "price_usd": 148.72,
    "change_24h": 3.14,
    "volume_24h": 2380000000,
    "market_cap_usd": 69800000000,
    "ai_score": 82.1,
    "qrank_score": 71.4,
    "narrative": "Solana continues to post strong throughput metrics with validator growth accelerating this quarter...",
    "sparkline": [141.2, 143.8, 145.1, 144.6, 146.9, 147.5, 148.72],
    "exchanges": [
      {"exchange": "Binance", "price_usd": 148.74, "volume_24h_usd": 980000000},
      {"exchange": "OKX",     "price_usd": 148.70, "volume_24h_usd": 420000000}
    ],
    "on_chain_identity": [
      {"chain": "solana", "contract_address": null, "is_canonical": true}
    ],
    "social_buzz_score": 68.4,
    "_tier": "free"
  },
  "id": 1
}

Try in AI

🤖 Claude 💬 ChatGPT ✦ Gemini

Use the NavScope MCP tool navscope_token_intelligence to give me the full market intelligence for Solana, including current price, AI narrative, QRank score, exchange breakdown, and on-chain identity.

Price History

navscope_price_history

Retrieve up to 1 year of crypto price history, 7-day sparkline, and pre-computed 30-day / 90-day percentage changes. NavScope native data — no third-party dependency. BTC and ETH archived back to 2021.

Input Schema

Parameter	Type	Required	Description
`symbol`	string	required	Token ticker (e.g. "BTC").
`window`	string	optional	Time window: "7d" \| "30d" \| "90d" \| "1y". Default: "30d".
`resolution`	string	optional	Candle resolution: "1h" \| "1d". Default: "1d".

Output Schema

Field	Type	Description
`symbol`	string	Token ticker
`change_30d`	number	Price change % over 30 days
`change_90d`	number	Price change % over 90 days
`sparkline`	number[]	7 daily closing prices (most recent last)
`candles`	object[]	OHLCV candle objects: date, open, high, low, close, volume

Example Call

JSON-RPC 2.0

{
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "name": "navscope_price_history",
    "arguments": { "symbol": "BTC", "window": "30d" }
  },
  "id": 2
}

Example Response

Response JSON

{
  "jsonrpc": "2.0",
  "result": {
    "symbol": "BTC",
    "change_30d": 18.4,
    "change_90d": 42.1,
    "sparkline": [58200, 59400, 61000, 63100, 65200, 66800, 67420],
    "candles": [
      {"date": "2026-06-19", "open": 58200, "high": 59800, "low": 57900, "close": 59400, "volume": 28400000000}
    ]
  },
  "id": 2
}

Try in AI

🤖 Claude 💬 ChatGPT ✦ Gemini

Use the NavScope MCP tool navscope_price_history to show me 30 days of Bitcoin price history including sparkline, 30-day change, and OHLCV candles.

Token Comparison

navscope_token_comparison

Compare up to 5 tokens side-by-side. Returns price, 24h volume, AI score, QRank, market cap, and key ratios for each token in a single structured response.

Input Schema

Parameter	Type	Required	Description
`symbols`	string	required	Comma-separated token symbols (e.g. "BTC,ETH,SOL"). Max 5.

Output Schema

Field	Type	Description
`tokens`	object[]	Array of token objects: symbol, price_usd, change_24h, volume_24h, market_cap_usd, ai_score, qrank_score

Example Call

JSON-RPC 2.0

{
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "name": "navscope_token_comparison",
    "arguments": { "symbols": "BTC,ETH,SOL" }
  },
  "id": 4
}

Example Response

Response JSON

{
  "jsonrpc": "2.0",
  "result": {
    "tokens": [
      {"symbol": "BTC", "price_usd": 67420, "change_24h": 1.2, "volume_24h": 38400000000, "market_cap_usd": 1320000000000, "ai_score": 91.4, "qrank_score": 84.2},
      {"symbol": "ETH", "price_usd": 3520,  "change_24h": 2.1, "volume_24h": 19800000000, "market_cap_usd": 422000000000,  "ai_score": 88.7, "qrank_score": 79.6},
      {"symbol": "SOL", "price_usd": 148.72,"change_24h": 3.1, "volume_24h": 2380000000,  "market_cap_usd": 69800000000,   "ai_score": 82.1, "qrank_score": 71.4}
    ]
  },
  "id": 4
}

Try in AI

🤖 Claude 💬 ChatGPT ✦ Gemini

Use the NavScope MCP tool navscope_token_comparison to compare BTC, ETH, and SOL side-by-side including price, AI score, and QRank.

Volume Anomaly

navscope_volume_anomaly

Detects unusual volume activity on a token: spike detection vs 7-day average, wash-trade risk score, and anomaly classification.

Input Schema

Parameter	Type	Required	Description
`symbol`	string	required	Token ticker symbol.

Output Schema

Field	Type	Description
`symbol`	string	Token ticker
`volume_24h`	number	24h volume USD
`volume_7d_avg`	number	7-day average daily volume USD
`spike_ratio`	number	Current / 7d-avg ratio
`wash_trade_risk`	string	"low" \| "medium" \| "high"
`anomaly_flag`	boolean	True if spike_ratio > 3x threshold

Example Call

JSON-RPC 2.0

{
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "name": "navscope_volume_anomaly",
    "arguments": { "symbol": "PEPE" }
  },
  "id": 5
}

Example Response

Response JSON

{
  "jsonrpc": "2.0",
  "result": {
    "symbol": "PEPE",
    "volume_24h": 4800000000,
    "volume_7d_avg": 1200000000,
    "spike_ratio": 4.0,
    "wash_trade_risk": "medium",
    "anomaly_flag": true
  },
  "id": 5
}

Try in AI

🤖 Claude 💬 ChatGPT ✦ Gemini

Use the NavScope MCP tool navscope_volume_anomaly to check PEPE for unusual volume spikes and wash-trade risk.

Buy Signal

navscope_buy_signal

Returns the top-ranked tokens by NavScope composite score (AI quality + QRank + momentum) with a positive 24h price momentum filter applied.

Input Schema

Parameter	Type	Required	Description
`limit`	number	optional	Number of tokens to return. Default: 10. Max: 50.
`min_market_cap_usd`	number	optional	Minimum market cap filter in USD.

Output Schema

Field	Type	Description
`tokens`	object[]	Ranked list: symbol, composite_score, ai_score, qrank_score, change_24h, price_usd

Example Call

JSON-RPC 2.0

{
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "name": "navscope_buy_signal",
    "arguments": { "limit": 10 }
  },
  "id": 8
}

Example Response

Response JSON

{
  "jsonrpc": "2.0",
  "result": {
    "tokens": [
      {"symbol": "BTC", "composite_score": 91.2, "ai_score": 91.4, "qrank_score": 84.2, "change_24h": 1.2, "price_usd": 67420},
      {"symbol": "ETH", "composite_score": 88.3, "ai_score": 88.7, "qrank_score": 79.6, "change_24h": 2.1, "price_usd": 3520}
    ]
  },
  "id": 8
}

Try in AI

🤖 Claude 💬 ChatGPT ✦ Gemini

Use the NavScope MCP tool navscope_buy_signal to show me the top 10 tokens ranked by NavScope composite score with positive momentum today.

Market Narrative

navscope_market_narrative

Returns an AI-generated token-specific market narrative including investment thesis, key price drivers, and current sentiment score.

Input Schema

Parameter	Type	Required	Description
`symbol`	string	required	Token ticker symbol.

Output Schema

Field	Type	Description
`symbol`	string	Token ticker
`narrative`	string	Full AI narrative text
`thesis`	string	One-sentence investment thesis
`key_drivers`	string[]	Top 3-5 price drivers identified
`sentiment_score`	number	Sentiment 0-100 (50=neutral)

Example Call

JSON-RPC 2.0

{
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "name": "navscope_market_narrative",
    "arguments": { "symbol": "ETH" }
  },
  "id": 9
}

Example Response

Response JSON

{
  "jsonrpc": "2.0",
  "result": {
    "symbol": "ETH",
    "narrative": "Ethereum is benefiting from renewed institutional interest following the EIP-7251 validator consolidation...",
    "thesis": "Layer-1 with dominant DeFi TVL and growing institutional ETF demand.",
    "key_drivers": ["ETF inflows", "EIP-7251 consolidation", "L2 ecosystem growth"],
    "sentiment_score": 68.2
  },
  "id": 9
}

Try in AI

🤖 Claude 💬 ChatGPT ✦ Gemini

Use the NavScope MCP tool navscope_market_narrative to generate the AI market narrative for Ethereum with thesis, key drivers, and sentiment score.

Questions your AI can answer with Analysis Tools

Snapshot: 2026-07-20 · Live data refreshed every 60 seconds via NavScope MCP

Q: How do I compare multiple crypto tokens side-by-side via an AI agent?

A: navscope_token_comparison accepts a comma-separated list of up to 5 symbols and returns price, 24h volume, AI score, QRank, and market cap for each in a single structured response.

Q: How do I detect unusual volume on a token?

A: navscope_volume_anomaly returns spike detection vs the 7-day average, a wash-trade risk rating (low / medium / high), spike ratio, and an anomaly flag when the spike exceeds 3× baseline volume.

Q: How do I get AI-generated crypto market narrative via an agent?

A: navscope_market_narrative returns a token-specific AI narrative with thesis, key drivers, and sentiment score. navscope_ai_narrative handles broader topics and returns related_paths for chained follow-up calls.

Q: How do I get a composite buy signal ranking for crypto tokens?

A: navscope_buy_signal returns the top-ranked tokens by NavScope composite score (AI quality + QRank + 24h momentum), with a positive momentum filter applied. Set min_market_cap_usd to exclude micro-caps.

Q: How far back does NavScope price history go for analysis?

A: navscope_price_history supports windows of 7d, 30d, 90d, and 1y. BTC and ETH are archived back to 2021. Most other tokens have at least 90 days of OHLCV history at daily or hourly resolution.

See all 205 questions →Install NavScope MCP →Submit your token →

Token Intelligence

Input Schema

Output Schema

Example Call

Example Response

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Price History

Input Schema

Output Schema

Example Call

Example Response

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Token Comparison

Input Schema

Output Schema

Example Call

Example Response

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Volume Anomaly

Input Schema

Output Schema

Example Call

Example Response

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Buy Signal

Input Schema

Output Schema

Example Call

Example Response

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Market Narrative

Input Schema

Output Schema

Example Call

Example Response

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Questions your AI can answer with Analysis Tools