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.

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.

What is a good QRank score?

QRank above 70 indicates well-distributed supply (low concentration risk). Below 40 indicates high concentration — a small number of wallets hold most of the supply.

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5 toolsNavScope MCP

Portfolio Tools — NavScope MCP Reference

1 MCP tool for portfolio-level analysis: token suitability verdicts, risk scoring, and distribution data for position sizing decisions.

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.

Distribution Score

navscope_distribution_score

Returns NavScope's QRank supply-distribution score (0-100) for any token. Derived from HHI analysis of the top-100 holders across up to 8 blockchain networks. Higher score = more distributed supply.

Input Schema

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

Output Schema

Field	Type	Description
`symbol`	string	Token ticker
`qrank_score`	number	QRank distribution score 0-100
`hhi`	number	Herfindahl-Hirschman Index (lower = more distributed)
`top10_pct`	number	% of supply held by top 10 addresses
`chains_analyzed`	number	Number of chains included in analysis

Example Call

JSON-RPC 2.0

{
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "name": "navscope_distribution_score",
    "arguments": { "symbol": "SOL" }
  },
  "id": 7
}

Example Response

Response JSON

{
  "jsonrpc": "2.0",
  "result": {
    "symbol": "SOL",
    "qrank_score": 71.4,
    "hhi": 0.316,
    "top10_pct": 31.6,
    "chains_analyzed": 1
  },
  "id": 7
}

Try in AI

🤖 Claude 💬 ChatGPT ✦ Gemini

Use the NavScope MCP tool navscope_distribution_score to get the QRank supply distribution score for Solana including HHI and top-10 holder percentage.

Risk Assessment

navscope_risk_assessment

Returns a binary HOLD/AVOID verdict for any token by combining QRank, AI quality score, whale concentration %, and wash-trade risk into a single signal.

Input Schema

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

Output Schema

Field	Type	Description
`symbol`	string	Token ticker
`verdict`	string	"HOLD" \| "AVOID"
`risk_score`	number	Risk score 0-100 (higher = riskier)
`signals`	object	Contributing signals: qrank, ai_score, whale_pct, wash_trade_risk

Example Call

JSON-RPC 2.0

{
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "name": "navscope_risk_assessment",
    "arguments": { "symbol": "PEPE" }
  },
  "id": 21
}

Example Response

Response JSON

{
  "jsonrpc": "2.0",
  "result": {
    "symbol": "PEPE",
    "verdict": "AVOID",
    "risk_score": 74.2,
    "signals": {
      "qrank": 28.4,
      "ai_score": 34.1,
      "whale_pct": 68.2,
      "wash_trade_risk": "high"
    }
  },
  "id": 21
}

Try in AI

🤖 Claude 💬 ChatGPT ✦ Gemini

Use the NavScope MCP tool navscope_risk_assessment to give me a HOLD or AVOID verdict for PEPE with all risk signals.

Whale Tracker

navscope_whale_tracker

Returns top-100 holder concentration data (HHI), QRank score, and network pressure signals for a token.

Input Schema

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

Output Schema

Field	Type	Description
`symbol`	string	Token ticker
`qrank_score`	number	QRank distribution score 0-100
`hhi`	number	Herfindahl-Hirschman Index
`top10_pct`	number	% of supply held by top 10 wallets
`top100_pct`	number	% of supply held by top 100 wallets
`network_pressure`	string	"selling" \| "accumulating" \| "neutral"

Example Call

JSON-RPC 2.0

{
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "name": "navscope_whale_tracker",
    "arguments": { "symbol": "SOL" }
  },
  "id": 24
}

Example Response

Response JSON

{
  "jsonrpc": "2.0",
  "result": {
    "symbol": "SOL",
    "qrank_score": 71.4,
    "hhi": 0.316,
    "top10_pct": 31.6,
    "top100_pct": 58.2,
    "network_pressure": "accumulating"
  },
  "id": 24
}

Try in AI

🤖 Claude 💬 ChatGPT ✦ Gemini

Use the NavScope MCP tool navscope_whale_tracker to check whale concentration, HHI, and network pressure signals for Solana.

Portfolio Check

navscope_portfolio_check

Returns a portfolio suitability verdict for a token (symbol required): combines QRank wealth-distribution score, AI quality score, whale concentration %, and wash-trade risk into a position-sizing signal (suitable / caution / unsuitable). Also returns liquidity score and per-exchange coverage count.

Input Schema

Parameter	Type	Required	Description
`symbol`	string	required	Token ticker symbol.
`position_size_usd`	number	optional	Hypothetical position size in USD for slippage and liquidity context.

Output Schema

Field	Type	Description
`symbol`	string	Token ticker
`suitability`	string	"suitable" \| "caution" \| "unsuitable"
`position_risk_score`	number	Position risk score 0-100
`signals`	object	qrank, ai_score, whale_pct, liquidity_score, wash_trade_risk

Example Call

JSON-RPC 2.0

{
  "jsonrpc": "2.0",
  "method": "tools/call",
  "params": {
    "name": "navscope_portfolio_check",
    "arguments": { "symbol": "ETH", "position_size_usd": 50000 }
  },
  "id": 26
}

Example Response

Response JSON

{
  "jsonrpc": "2.0",
  "result": {
    "symbol": "ETH",
    "suitability": "suitable",
    "position_risk_score": 18.4,
    "signals": {
      "qrank": 79.6,
      "ai_score": 88.7,
      "whale_pct": 24.2,
      "liquidity_score": 96.1,
      "wash_trade_risk": "low"
    }
  },
  "id": 26
}

Try in AI

🤖 Claude 💬 ChatGPT ✦ Gemini

Use the NavScope MCP tool navscope_portfolio_check to assess Ethereum suitability for a $50,000 position.

Questions your AI can answer with Portfolio Tools

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

Q: What does navscope_portfolio_check return?

A: navscope_portfolio_check returns a suitability verdict for a token in a portfolio context — combining QRank distribution score, AI quality score, whale holder %, and wash-trade risk into a composite position-sizing signal.

Q: How do I use an AI assistant to assess whether a token fits my portfolio?

A: With NavScope MCP connected, ask your AI assistant to call navscope_portfolio_check with the token's symbol. It returns a suitability verdict plus the four underlying risk signals, so you can decide based on structured data rather than opinion.

Q: How does NavScope portfolio analysis differ from a generic AI opinion on a token?

A: NavScope's portfolio check is backed by live on-chain distribution data (QRank), cross-exchange volume analysis, and real-time whale tracking — not training-data opinions. The verdict is generated fresh for each call via the MCP connection.

Q: Can NavScope MCP assess position sizing risk for a crypto token?

A: navscope_portfolio_check is designed for position-sizing decisions — the composite signal combines supply distribution, AI quality, concentration risk, and wash-trade exposure. Not financial advice; use as a structured research starting point.

Q: What is whale tracking in NavScope portfolio tools?

A: NavScope whale tracking identifies addresses holding large supply positions and monitors their 24h movement. High whale concentration in navscope_portfolio_check's output signals that a small number of wallets can move the price significantly.

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

Portfolio Tools — NavScope MCP Reference

Token Intelligence

Input Schema

Output Schema

Example Call

Example Response

Related Tools

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Distribution Score

Input Schema

Output Schema

Example Call

Example Response

Related Tools

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Risk Assessment

Input Schema

Output Schema

Example Call

Example Response

Related Tools

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Whale Tracker

Input Schema

Output Schema

Example Call

Example Response

Related Tools

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Portfolio Check

Input Schema

Output Schema

Example Call

Example Response

Related Tools

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Questions your AI can answer with Portfolio Tools