Token Risk Assessment (Solana)

The Token Risk Assessment API evaluates up to 17 independent risk factors across multiple categories to identify potential threats, vulnerabilities, and suspicious attributes in Solana tokens. This analysis helps users make informed decisions about token interactions, investments, and compliance requirements.

🎯 Key Features

• Multi-Factor Analysis: Evaluates up to 17 distinct risk factors when data is available • Real-Time Assessment: Fast analysis with typical response times under 500ms • Robust Error Handling: Continues analysis even when some data sources are unavailable • Detailed Explanations: Human-readable explanations for each risk factor assessment • Threshold Transparency: Clear risk thresholds with configurable parameters available on request

📊 Risk Assessment Framework

The API analyzes up to 17 risk factors across 5 core categories. Note that not all risk factors may be assessed for every token due to data availability from internal sources and calculations.

🔑 Authority & Control (3 factors)

1. Circulating Supply Ratio

Purpose: Detects token dilution risk from centralized mint authority control
Data Used: circSupply vs totalSupply fields, audit.mintAuthorityDisabled flag
Calculation: circulating_supply / total_supply ratio analysis
Risk Logic: Low circulating ratios indicate active mint authority usage, creating severe dilution potential
Thresholds: HIGH < 80%, MEDIUM 80-95%, LOW >95%
Why This Matters: Mint authorities can create unlimited new tokens, severely diluting existing holders without warning

2. Freeze Authority

Purpose: Identifies trading restriction risk through account freezing capabilities
Data Used: freezeAuthority field, audit.freezeAuthorityDisabled flag
Calculation: Boolean presence check with audit override logic
Risk Logic: Freeze authority allows token accounts to be frozen, preventing trading
Thresholds: HIGH (present), LOW (absent or disabled)
Why This Matters: Account freezing can trap user funds and prevent trading indefinitely

3. Mint Authority

Purpose: Assesses supply inflation risk from token creation capabilities
Data Used: mintAuthority field, audit.mintAuthorityDisabled flag
Calculation: Boolean presence check with audit override logic
Risk Logic: Active mint authority enables unlimited token creation
Thresholds: HIGH (present), LOW (absent or disabled)
Why This Matters: New token minting can instantly devalue existing holdings through inflation

💰 Market Structure (5 factors)

4. Market Capitalization

Purpose: Evaluates manipulation susceptibility through market size analysis
Data Used: mcap (market capitalization) field
Calculation: Direct USD market cap comparison against thresholds
Risk Logic: Smaller market caps are more susceptible to price manipulation
Thresholds: HIGH < $1M, MEDIUM$ 1M- $100M, LOW >$ 100M
Why This Matters: Low market cap tokens require less capital to manipulate prices significantly

5. Token Verification

Purpose: Identifies due diligence gaps increasing scam exposure
Data Used: isVerified boolean field
Calculation: Direct boolean evaluation
Risk Logic: Unverified tokens lack institutional due diligence validation
Thresholds: HIGH (unverified), LOW (verified)
Why This Matters: Verification processes help filter out fraudulent or high-risk projects

6. Liquidity

Purpose: Assesses exit execution difficulty and holder trapping risk
Data Used: liquidity USD value field
Calculation: Direct USD liquidity comparison against thresholds
Risk Logic: Low liquidity creates difficulty executing large trades
Thresholds: HIGH < $10K, MEDIUM$ 10K- $100K, LOW >$ 100K
Why This Matters: Insufficient liquidity can trap holders unable to exit positions

7. Holder Count

Purpose: Measures ownership distribution and manipulation resistance
Data Used: holderCount field
Calculation: Direct holder count comparison against thresholds
Risk Logic: Few holders indicate high concentration and easier market control
Thresholds: HIGH < 100, MEDIUM 100-1000, LOW >1000
Why This Matters: Concentrated ownership enables coordinated price manipulation

8. Top Holder Concentration

Purpose: Detects extreme concentration enabling coordinated dump attacks
Data Used: audit.topHoldersPercentage field
Calculation: Percentage of total supply held by top holders
Risk Logic: High concentration by top holders enables catastrophic coordinated selling
Thresholds: HIGH >90%, MEDIUM 80-90%, LOW < 80%
Why This Matters: Large holders can cause devastating price crashes through coordinated selling

📈 Trading Patterns (3 factors)

9. Price Volatility

Purpose: Identifies market instability or manipulation through price swing analysis
Data Used: priceChange from stats5m, stats1h, stats6h, stats24h fields
Calculation: Maximum absolute price change across all timeframes
Risk Logic: Extreme price swings suggest instability or active manipulation
Thresholds: HIGH >50%, MEDIUM 20-50%, LOW < 20%
Why This Matters: High volatility indicates unstable markets or potential manipulation

10. Wash Trading

Purpose: Detects artificial trading activity creating false liquidity impressions
Data Used: buyVolume and sellVolume from stats1h, stats6h, stats24h fields
Calculation: Buy/sell volume balance analysis across timeframes
Risk Logic: Suspiciously balanced buy/sell volumes indicate artificial trading
Thresholds: HIGH (suspicious in ≥2 timeframes), LOW (normal patterns)
Why This Matters: Wash trading creates false impressions of trading activity and demand

11. Organic Activity

Purpose: Evaluates authentic demand vs bot-driven trading activity
Data Used: organicScoreLabel field
Calculation: Direct label evaluation (high/medium/low)
Risk Logic: Low organic scores suggest bot-driven rather than genuine trading
Thresholds: HIGH (low organic), MEDIUM (medium organic), LOW (high organic)
Why This Matters: Bot-driven trading indicates lack of genuine user interest and adoption

12. Developer Migrations

Purpose: Assesses project stability through team migration history
Data Used: audit.devMigrations field
Calculation: Count of developer team migrations
Risk Logic: Frequent migrations indicate team instability and abandonment risk
Thresholds: HIGH ≥5, MEDIUM 2-4, LOW < 2
Why This Matters: Team instability often precedes project abandonment

13. Exchange Listings

Purpose: Validates legitimacy through institutional due diligence requirements
Data Used: cexes (centralized exchanges) array field
Calculation: Count and quality of exchange listings
Risk Logic: Major exchanges require due diligence, providing legitimacy validation
Thresholds: HIGH (no listings), MEDIUM (< 3 or no major), LOW (major exchanges)
Why This Matters: Exchange listings indicate institutional validation and due diligence

14. Launchpad Platform

Purpose: Identifies platform reputation risk through historical correlation analysis
Data Used: launchpad, platform fields, mint address patterns
Calculation: Platform identification and risk correlation lookup
Risk Logic: Some platforms have higher historical rates of fraudulent launches
Thresholds: HIGH (high-risk platforms like pump.fun), LOW (other platforms)
Why This Matters: Platform choice correlates with project quality and fraud rates

15. Social Media Presence

Purpose: Evaluates team transparency and accountability mechanisms
Data Used: twitter, telegram, website fields
Calculation: Boolean presence check across social platforms
Risk Logic: Social presence provides transparency and accountability channels
Thresholds: HIGH (no presence), LOW (active presence)
Why This Matters: Team transparency enables accountability and reduces exit scam risk

⏰ Temporal (2 factors)

16. Token Age

Purpose: Assesses maturity and operational track record
Data Used: firstPool.createdAt timestamp field
Calculation: Days since first liquidity pool creation
Risk Logic: New tokens lack operational history and higher experimental risk
Thresholds: HIGH < 7 days, MEDIUM 7-30 days, LOW > 30 days
Why This Matters: Time provides validation of project sustainability and reduces rug pull risk

17. Graduation Status

Purpose: Evaluates transition volatility in recently promoted tokens
Data Used: graduatedAt timestamp field
Calculation: Days since launchpad graduation
Risk Logic: Recent graduations often create volatility during market transitions
Thresholds: MEDIUM < 7 days, LOW >7 days or N/A
Why This Matters: Graduation transitions can create price volatility and instability

🔢 Risk Scoring System

Scoring Methodology

Factor Scoring: LOW = 0 points, MEDIUM = 1 point, HIGH = 2 points
Total Score: Sum of all assessed factor scores (maximum 34 points for 17 factors)
Risk Percentage: (total_score / max_possible_score) × 100

Overall Risk Classification

🔴 HIGH RISK: ≥60% of maximum possible score
🟡 MEDIUM RISK: ≥30% but < 60% of maximum possible score
🟢 LOW RISK: < 30% of maximum possible score

Custom Thresholds

Current thresholds are calibrated for optimal risk detection. Custom threshold injection is available for enterprise clients—contact info@range.org to request this feature.

📡 Data Sources & Availability

Token data is sourced from internal data aggregation and calculations combining multiple blockchain data providers. The service analyzes available data fields dynamically: Available Data Fields: circSupply, totalSupply, freezeAuthority, mintAuthority, mcap, isVerified, liquidity, holderCount, audit.topHoldersPercentage, stats*, organicScoreLabel, cexes, launchpad, twitter, telegram, website, firstPool.createdAt, graduatedAt Data Availability: Not all data fields are available for every token. The API gracefully handles missing data by:

Skipping unavailable risk factors
Including detailed error messages explaining missing assessments
Continuing analysis with available data
Providing partial results with warnings when appropriate

⚡ Response Format

Low-Risk Token Example (USDC)

{
  "token_info": {
    "mint_address": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v",
    "name": "USD Coin",
    "symbol": "USDC"
  },
  "overall_assessment": {
    "risk_level": "LOW",
    "risk_score": 6,
    "max_score": 26,
    "risk_percentage": 23.1
  },
  "summary": {
    "total_factors": 13,
    "high_risk_count": 3,
    "medium_risk_count": 0,
    "low_risk_count": 10
  },
  "risk_factors": {
    "circulating_ratio": {
      "level": "LOW",
      "explanation": ">95% circulating - minimal mint authority usage"
    },
    "freeze_authority": {
      "level": "HIGH",
      "explanation": "Freeze authority present - token accounts can be frozen by authority"
    },
    "minting_authority": {
      "level": "HIGH",
      "explanation": "Mint authority present - new tokens can be created, diluting existing holders"
    },
    "market_cap": {
      "level": "LOW",
      "explanation": "Market cap >$100,000,000 - established project"
    },
    "token_verification": {
      "level": "LOW",
      "explanation": "Token verified - passed institutional due diligence"
    }
  },
  "processing_time_ms": 378.2,
  "errors": [
    "Dev migration data not available - dev_migrations assessment skipped",
    "Exchange listing data not available - exchange_listings assessment skipped"
  ]
}

Medium-Risk Token Example (Limited Data)

{
  "token_info": {
    "mint_address": "5aaHbSR47rtH7m7pV5FEyoqkvGjGRE1xv3kzEjVw4YBx",
    "name": "DEAD LAND SURVIVAL",
    "symbol": "$DEADLAND"
  },
  "overall_assessment": {
    "risk_level": "MEDIUM",
    "risk_score": 2,
    "max_score": 6,
    "risk_percentage": 33.3
  },
  "summary": {
    "total_factors": 3,
    "high_risk_count": 1,
    "medium_risk_count": 0,
    "low_risk_count": 2
  },
  "risk_factors": {
    "freeze_authority": {
      "level": "LOW",
      "explanation": "No freeze authority - accounts cannot be frozen"
    },
    "minting_authority": {
      "level": "LOW",
      "explanation": "No mint authority - token supply is fixed"
    },
    "organic_activity": {
      "level": "HIGH",
      "explanation": "Low organic score - indicates bot-driven trading activity"
    }
  },
  "processing_time_ms": 403.6,
  "errors": [
    "Circulating supply data not available - circulating_ratio assessment skipped",
    "Market cap data not available - market_cap assessment skipped",
    "Token verification data not available - token_verification assessment skipped",
    "Liquidity data not available - liquidity assessment skipped"
  ]
}

🚨 API Endpoint

Request

GET /api/v1/ml/risk/assessment/token

Parameters

Parameter	Type	Required	Description
`mint_address`	string	Yes	Solana token mint address (32-44 character base58 string)
`network`	string	No	Blockchain network (default: “solana”) - currently only ‘solana’ is supported

Headers

X-API-KEY: your-api-key
Content-Type: application/json

Response Structure

Success Response (200)

{
  "token_info": {
    "mint_address": "string",
    "name": "string",
    "symbol": "string"
  },
  "overall_assessment": {
    "risk_level": "LOW|MEDIUM|HIGH",
    "risk_score": "number",
    "max_score": "number",
    "risk_percentage": "number"
  },
  "summary": {
    "total_factors": "number",
    "high_risk_count": "number",
    "medium_risk_count": "number",
    "low_risk_count": "number"
  },
  "risk_factors": {
    "factor_name": {
      "level": "LOW|MEDIUM|HIGH",
      "explanation": "string"
    }
  },
  "processing_time_ms": "number",
  "errors": ["string"]
}

Error Response (400/500)

{
  "error": "string",
  "error_type": "string",
  "detail": "string",
  "mint_address": "string"
}

🔧 Error Handling Examples

Invalid Address Format

{
  "detail": [
    {
      "type": "string_pattern_mismatch",
      "loc": ["query", "mint_address"],
      "msg": "String should match pattern '^[1-9A-HJ-NP-Za-km-z]{32,44}$'",
      "input": "invalid_address",
      "ctx": {
        "pattern": "^[1-9A-HJ-NP-Za-km-z]{32,44}$"
      }
    }
  ]
}

Network Error

{
  "error": "Unsupported network",
  "error_type": "validation_error",
  "detail": "Only 'solana' network is supported",
  "mint_address": "EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v"
}

Response Features

Graceful Degradation: Returns partial results when some risk factors cannot be assessed
Detailed Error Messages: Specific explanations for each failed assessment in the errors array
Transparent Processing: Non-fatal errors included in response for troubleshooting
Consistent Structure: All successful responses follow the same JSON schema

🔄 Service Evolution

This is a constantly evolving service with continuous improvements:

New Risk Factors: Additional risk factors are regularly researched and implemented
Enhanced Detection: Machine learning integration and advanced pattern recognition
Threshold Optimization: Regular calibration based on market conditions and feedback
Data Source Expansion: Integration with additional data providers for better coverage

💡 Use Cases

Compliance & Risk Management

Screen tokens before integration into DeFi protocols
Assess compliance risk for regulatory requirements
Evaluate tokens for institutional investment policies

DeFi & Trading Applications

Pre-trade risk assessment for automated strategies
Portfolio risk monitoring and rebalancing
User protection in DeFi applications

Security & Due Diligence

Token vetting for exchange listings
Investment research and due diligence
Fraud prevention and scam detection

📝 Example Requests & Responses

Stablecoin Assessment (Low Risk)

Request:

curl -X GET "https://api.range.org/api/v1/ml/risk/assessment/token?mint_address=EPjFWdd5AufqSSqeM2qN1xzybapC8G4wEGGkZwyTDt1v&network=solana" \
  -H "X-API-KEY: your-api-key"

Key Insights: USDC shows LOW overall risk (23.1%) despite having freeze/mint authorities, demonstrating how multiple factors contribute to the final assessment. The token benefits from high market cap, verification status, and strong liquidity.

Utility Token Assessment

Request:

curl -X GET "https://api.range.org/api/v1/ml/risk/assessment/token?mint_address=JUPyiwrYJFskUPiHa7hkeR8VUtAeFoSYbKedZNsDvCN&network=solana" \
  -H "X-API-KEY: your-api-key"

Additional Test Tokens

Popular Stablecoins:

USDT: Es9vMFrzaCERmJfrF4H2FYD4KCoNkY11McCe8BenwNYB
Wrapped SOL: So11111111111111111111111111111111111111112

Established Meme Tokens:

BONK: DezXAZ8z7PnrnRJjz3wXBoRgixCa6xjnB7YaB1pPB263
WIF: EKpQGSJtjMFqKZ9KQanSqYXRcF8fBopzLHYxdM65zcjm
POPCAT: 7GCihgDB8fe6KNjn2MYtkzZcRjQy3t9GHdC8uHYmW2hr

DeFi & Infrastructure:

Pyth Network: HZ1JovNiVvGrGNiiYvEozEVgZ58xaU3RKwX8eACQBCt3
Marinade SOL: mSoLzYCxHdYgdzU16g5QSh3i5K3z3KZK7ytfqcJm7So
JitoSOL: J1toso1uCk3RLmjorhTtrVwY9HJ7X8V9yYac6Y7kGCPn

Meme Token Assessment

Request:

curl -X GET "https://api.range.org/api/v1/ml/risk/assessment/token?mint_address=2qEHjDLDLbuBgRYvsxhc5D6uDWAivNFZGan56P1tpump&network=solana" \
  -H "X-API-KEY: your-api-key"

Key Insights: PNUT (Peanut the Squirrel) shows LOW overall risk (9.4%) with only launchpad risk flagged as HIGH due to pump.fun origin, demonstrating that established meme tokens can achieve good risk profiles over time.

Limited Data Token Assessment

Request:

curl -X GET "https://api.range.org/api/v1/ml/risk/assessment/token?mint_address=5aaHbSR47rtH7m7pV5FEyoqkvGjGRE1xv3kzEjVw4YBx&network=solana" \
  -H "X-API-KEY: your-api-key"

Key Insights: Tokens with limited data availability result in MEDIUM risk classification (33.3%) with extensive error reporting, demonstrating the API’s graceful degradation capabilities.

🌐 Network Support

Currently Supported:

✅ Solana - Full risk assessment with 17+ risk factors

Future Network Support: We are actively working to expand network support. Planned additions include:

🔄 Ethereum - ERC-20 token risk assessment (in development)
🔄 Base - Layer 2 token analysis (roadmap)
🔄 Arbitrum - Rollup token evaluation (roadmap)
🔄 Polygon - Multi-chain compatibility (roadmap)

Contact info@range.org to request priority support for specific networks or to discuss enterprise multi-chain requirements.

📞 Support & Contact

For technical support, enterprise features, or custom threshold configurations:

Email: info@range.org
Documentation: This reference guide
Response Time: Typically under 500ms for standard requests

📊 Risk Factor Summary Table

Factor	Category	Data Source	HIGH Risk	MEDIUM Risk	LOW Risk
Circulating Supply Ratio	Authority & Control	`circSupply`/`totalSupply`	< 80%	80-95%	>95%
Freeze Authority	Authority & Control	`freezeAuthority`	Present	-	Absent/Disabled
Mint Authority	Authority & Control	`mintAuthority`	Present	-	Absent/Disabled
Market Capitalization	Market Structure	`mcap`	< $1M	$1M-$ 100M	>$100M
Token Verification	Market Structure	`isVerified`	Unverified	-	Verified
Liquidity	Market Structure	`liquidity`	< $10K	$10K-$ 100K	>$100K
Holder Count	Market Structure	`holderCount`	< 100	100-1000	>1000
Top Holder Concentration	Market Structure	`audit.topHoldersPercentage`	>90%	80-90%	< 80%
Price Volatility	Trading Patterns	`stats*.priceChange`	>50%	20-50%	< 20%
Wash Trading	Trading Patterns	`stats*.buyVolume`/`sellVolume`	Suspicious ≥2 TF	-	Normal
Organic Activity	Trading Patterns	`organicScoreLabel`	Low	Medium	High
Developer Migrations	Platform & Social	`audit.devMigrations`	≥5	2-4	< 2
Exchange Listings	Platform & Social	`cexes`	No listings	< 3/no major	Major exchanges
Launchpad Platform	Platform & Social	`launchpad`/patterns	High-risk (pump.fun)	-	Other platforms
Social Media Presence	Platform & Social	`twitter`/`telegram`/`website`	No presence	-	Active presence
Token Age	Temporal	`firstPool.createdAt`	< 7 days	7-30 days	>30 days
Graduation Status	Temporal	`graduatedAt`	-	< 7 days	>7 days/N/A

This documentation covers the Token Risk Assessment API as of September 2025. Features and thresholds are subject to continuous improvement and calibration.

Authorizations

X-API-KEY

string

header

required

Authorization method required to allow user to access the api endpoints.

Query Parameters

asset_address

string

required

Asset identifier (chain-agnostic). Currently only Solana token mint (base58, 32–44 chars) is supported.

Example:

"So11111111111111111111111111111111111111112"

network

enum<string>

required

Blockchain network for token risk (only solana supported)

Available options:

solana

Example:

"solana"

Response

200 - application/json

Token risk assessment with detailed factors and scoring

token_info

object

required

Basic token identification details

Show child attributes

token_info.asset_address

string

required

Asset identifier (Solana mint / EVM contract / Cosmos denom). Currently Solana mint.

Example:

"So11111111111111111111111111111111111111112"

token_info.name

string

required

Token name

Example:

"Wrapped SOL"

token_info.symbol

string

required

Ticker symbol

Example:

"SOL"

overall_assessment

object

required

Overall risk assessment aggregation

Show child attributes

overall_assessment.risk_level

enum<string>

required

Overall risk level derived from weighted factors

Available options:

LOW,

MEDIUM,

HIGH

overall_assessment.risk_score

number

required

Aggregate risk score for the token

overall_assessment.max_score

number

required

Maximum theoretical score used for normalization

overall_assessment.risk_percentage

number

required

Percentage representation of the risk score (0-100)

Example:

72.5

summary

object

required

Summary counts of risk factor severity levels

Show child attributes

summary.total_factors

number

required

Total number of evaluated risk factors

summary.high_risk_count

number

required

Number of high risk factors

summary.medium_risk_count

number

required

Number of medium risk factors

summary.low_risk_count

number

required

Number of low risk factors

risk_factors

object

required

Map of risk factor key to its detailed assessment

Show child attributes

risk_factors.{key}

object

Show child attributes

risk_factors.{key}.level

enum<string>

required

Risk level classification of this factor

Available options:

LOW,

MEDIUM,

HIGH

risk_factors.{key}.explanation

string

required

Explanation detailing why this factor has its assigned level

processing_time_ms

number

required

Processing time in milliseconds for the assessment

Example:

154

errors

string[]

required

List of non-fatal errors encountered while computing the assessment

Overview

Risk

Simulator

​🎯 Key Features

​📊 Risk Assessment Framework

​🔑 Authority & Control (3 factors)

​💰 Market Structure (5 factors)

​📈 Trading Patterns (3 factors)

​🚀 Platform & Social (4 factors)

​⏰ Temporal (2 factors)

​🔢 Risk Scoring System

​Scoring Methodology

​Overall Risk Classification

​Custom Thresholds

​📡 Data Sources & Availability

​⚡ Response Format

​Low-Risk Token Example (USDC)

​Medium-Risk Token Example (Limited Data)

​🚨 API Endpoint

​Request

​Parameters

​Headers

​Response Structure

​Success Response (200)

​Error Response (400/500)

​🔧 Error Handling Examples

​Invalid Address Format

​Network Error

​Response Features

​🔄 Service Evolution

​💡 Use Cases

​Compliance & Risk Management

​DeFi & Trading Applications

​Security & Due Diligence

​📝 Example Requests & Responses

​Stablecoin Assessment (Low Risk)

​Utility Token Assessment

​Additional Test Tokens

​Popular Stablecoins:

​Established Meme Tokens:

​DeFi & Infrastructure:

​Meme Token Assessment

​Limited Data Token Assessment

​🌐 Network Support

​📞 Support & Contact

​📊 Risk Factor Summary Table

Authorizations

Query Parameters

Response

🎯 Key Features

📊 Risk Assessment Framework

🔑 Authority & Control (3 factors)

💰 Market Structure (5 factors)

📈 Trading Patterns (3 factors)

🚀 Platform & Social (4 factors)

⏰ Temporal (2 factors)

🔢 Risk Scoring System

Scoring Methodology

Overall Risk Classification

Custom Thresholds

📡 Data Sources & Availability

⚡ Response Format

Low-Risk Token Example (USDC)

Medium-Risk Token Example (Limited Data)

🚨 API Endpoint

Request

Parameters

Headers

Response Structure

Success Response (200)

Error Response (400/500)

🔧 Error Handling Examples

Invalid Address Format

Network Error

Response Features

🔄 Service Evolution

💡 Use Cases

Compliance & Risk Management

DeFi & Trading Applications

Security & Due Diligence

📝 Example Requests & Responses

Stablecoin Assessment (Low Risk)

Utility Token Assessment

Additional Test Tokens

Popular Stablecoins:

Established Meme Tokens:

DeFi & Infrastructure:

Meme Token Assessment

Limited Data Token Assessment

🌐 Network Support

📞 Support & Contact

📊 Risk Factor Summary Table