ChainAware Behavioural Prediction MCP Server
🧠 ChainAware 行为预测 MCP 服务器
MCP 服务器名称: ChainAware 行为预测 MCP
类别: Web3 / 安全 / DeFi 分析
状态: 公共工具 – 私有后端
访问权限: 按需申请(API 密钥)
服务器 URL: [https://prediction.mcp.chainaware.ai/sse]
仓库: [https://github.com/ChainAware/behavioral-prediction-mcp]
网站: [https://chainaware.ai/]
Twitter: [https://x.com/ChainAware/]
mcp-name: io.github.ChainAware/chainaware-behavioral-prediction-mcp
📖 描述
行为预测 MCP 服务器提供基于 AI 的工具,用于分析钱包行为预测、欺诈检测和地毯式拉盘(Rug Pull)预测。
开发者和平台可以通过 MCP 协议集成这些工具,以保护 DeFi 用户、监控流动性风险,并对钱包或合约的可信度进行评分。
所有工具均遵循 模型上下文协议 (MCP),并可通过兼容 MCP 的客户端使用。
Related MCP server: rug-check-mcp
⚙️ 可用工具
1. 预测性欺诈检测工具
ID: predictive_fraud
描述: 此 AI 驱动的算法可在给定钱包地址发生欺诈活动之前预测其可能性(准确率约为 98%),并执行 AML/反洗钱检查。 当您的用户需要对区块链地址进行风险评估或早期预警时,请使用此工具。
➡️ 示例用例:
• Is it safe to intercant with vitalik.eth ?
• What is the fraudulent status of this address ?
• Is my new wallet at risk of being used for fraud? 输入:
名称 | 类型 | 必需 | 描述 |
| string | ✅ | 用于身份验证的 API 密钥 |
| string | ✅ | 区块链网络 ( |
| string | ✅ | 要评估的钱包地址 |
输出 (JSON):
{
"message": "string", // e.g. “Success” or error description
"walletAddress": "string", // blockchain wallet address that was analyzed
"chain": "string", // blockchain network identifier (e.g. ETH, BNB,POLYGON,TON,BASE, TRON, HAQQ)
"status": "string", // classification result (e.g. “Fraud” | “Not Fraud” | “New Address”)
"probabilityFraud": "0.00–1.00", // decimal fraud probability score (string to preserve precision)
"token": "string | null", // optional token associated with the check (may be null)
"lastChecked": "ISO-8601 timestamp", // last time the wallet risk analysis was executed
"forensic_details": {
"cybercrime": "string", // indicator score for cybercrime activity
"money_laundering": "string", // indicator score for money laundering activity
"number_of_malicious_contracts_created": "string", // number of malicious contracts deployed by this wallet
"gas_abuse": "string", // gas abuse indicator
"financial_crime": "string", // financial crime indicator
"darkweb_transactions": "string", // interaction with darkweb-linked wallets
"reinit": "string", // reinitialization exploit indicator
"phishing_activities": "string", // phishing activity indicator
"fake_kyc": "string", // fake KYC related activity
"blacklist_doubt": "string", // suspected blacklist association
"fake_standard_interface": "string", // fake ERC interface indicator
"data_source": "string", // source of forensic intelligence (may be empty)
"stealing_attack": "string", // stealing attack indicator
"blackmail_activities": "string", // blackmail activity indicator
"sanctioned": "string", // sanction exposure indicator
"malicious_mining_activities": "string", // malicious mining indicator
"mixer": "string", // interaction with mixing services
"fake_token": "string", // fake token creation or usage indicator
"honeypot_related_address": "string" // interaction with honeypot-related addresses
},
"checked_times": 0, // integer — number of times this wallet has been analyzed
"createdAt": "ISO-8601 timestamp", // record creation timestamp
"updatedAt": "ISO-8601 timestamp", // record last update timestamp
"sanctionData": [
{
"category": "string | null", // sanction category (may be null)
"name": "string | null", // sanction list name
"description": "string | null", // sanction description
"url": "string | null", // source URL for sanction information
"isSanctioned": false, // boolean — whether the wallet is officially sanctioned
"createdAt": "ISO-8601 timestamp", // sanction record creation timestamp
"updatedAt": "ISO-8601 timestamp" // sanction record last update timestamp
}
]
}错误情况:
• `403 Unauthorized` → invalid `apiKey`
• `400 Bad Request` → malformed `network` or `walletAddress`
• `500 Internal Server Error` → temporary downstream failure 2. 预测性行为分析工具
ID: predictive_behaviour
描述: 此 AI 驱动的引擎可预测钱包地址的意图或其下一步可能的操作,分析其链上历史记录,并推荐个性化操作。
Use this when you need:
• Next‑best‑action predictions and intentions(“Will this address deposit, trade, or stake?”)
• A risk‑tolerance and experience profile
• Category segmentation (e.g. NFT, DeFi, Bridge usage)
• Custom recommendations based on historical patterns➡️ 示例用例:
• “What will this address do next?”
• “Is the user high‑risk or experienced?”
• “Recommend the best DeFi strategies for 0x1234... on ETH network.”输入:
名称 | 类型 | 必需 | 描述 |
| string | ✅ | 用于身份验证的 API 密钥 |
| string | ✅ | 区块链网络 ( |
| string | ✅ | 要评估的钱包地址 |
输出 (JSON):
{
"message": "string", // e.g. “Success” or error description
"walletAddress": "string", // blockchain wallet address analyzed
"status": "string", // fraud classification result (e.g. “Fraud” | “Not Fraud” | “New Address”)
"probabilityFraud": "0.00–1.00", // decimal probability score indicating fraud risk
"token": "string | null", // optional token context for the analysis
"chain": "string", // blockchain network identifier (e.g. ETH, BNB,BASE,HAQQ,SOLANA)
"lastChecked": "ISO-8601 timestamp", // last time the wallet was analyzed
"forensic_details": {
"cybercrime": "string", // indicator of cybercrime association
"money_laundering": "string", // money laundering activity indicator
"number_of_malicious_contracts_created": "string", // malicious contracts deployed by wallet
"gas_abuse": "string", // abnormal gas usage indicator
"financial_crime": "string", // financial crime activity indicator
"darkweb_transactions": "string", // interaction with darkweb-linked wallets
"reinit": "string", // contract reinitialization exploit indicator
"phishing_activities": "string", // phishing activity indicator
"fake_kyc": "string", // fake KYC interaction indicator
"blacklist_doubt": "string", // suspected blacklist association
"fake_standard_interface": "string", // fake token interface indicator
"data_source": "string", // source of forensic intelligence
"stealing_attack": "string", // stealing attack indicator
"blackmail_activities": "string", // blackmail activity indicator
"sanctioned": "string", // sanction exposure indicator
"malicious_mining_activities": "string", // malicious mining activity indicator
"mixer": "string", // interaction with mixing services
"fake_token": "string", // fake token creation/use indicator
"honeypot_related_address": "string" // honeypot contract interaction indicator
},
"categories": [
{
"Category": "string", // wallet interaction category (e.g. DeFi, NFT, Bridge)
"Count": 0 // number of transactions/interactions in this category
}
],
"riskProfile": [
{
"Category": "Risk_Profile", // willingnes to take risk object
"Balance_age": 0.0 // 1-10 willingnes to take risk value
}
],
"segmentInfo": "string (JSON encoded)", // serialized JSON containing protocol engagement flags (e.g "{\"Maker\":0,\"Aave_borrow\":0,\"Aave_lend\":1,\"Lido\":0,\"Uniswap\":1,\"Compound_lend\":0,\"Compound_borrow\":0}")
"experience": {
"Type": "string", // descriptor label (e.g. “Experience”)
"Value": 0 // numeric experience score level
},
"intention": {
"Type": "string", // descriptor label (e.g. “Intentions”)
"Value": {
"Prob_Lend": "Low | Medium | High",
"Prob_Trade": "Low | Medium | High",
"Prob_Game": "Low | Medium | High",
"Prob_NFT": "Low | Medium | High",
"Prob_Stake_ETH": "Low | Medium | High",
"Prob_Borrow": "Low | Medium | High",
"Prob_Gamble": "Low | Medium | High",
"Prob_Stake": "Low | Medium | High",
"Prob_Yield_Farm": "Low | Medium | High",
"Prob_Leveraged_Stake": "Low | Medium | High",
"Prob_Leveraged_Stake_ETH": "Low | Medium | High",
"Prob_Leveraged_Lend": "Low | Medium | High",
"Prob_Leverage_Long_ETH": "Low | Medium | High",
"Prob_Leverage_Long": "Low | Medium | High"
}
},
"protocols": [
{
"Protocol": "string", // protocol name (e.g. Uniswap, Curve, MakerDAO)
"Count": 0 // number of interactions with this protocol
}
],
"userDetails": {
"wallet_age_days": 0, // age of wallet in days
"total_balance_usd": 0.0, // current wallet balance in USD
"transaction_count": 0, // total number of transactions executed
"wallet_rank": 0 // ranking of wallet in the scoring system
},
"riskCapability": 0, // numeric risk capability score
"recommendation": {
"Type": "string", // descriptor label (e.g. “Recommendation”)
"Value": [
"string" // recommended strategies or actions
]
},
"checked_times": 0, // number of times the wallet analysis was executed
"createdAt": "ISO-8601 timestamp", // record creation timestamp
"updatedAt": "ISO-8601 timestamp", // record last update timestamp
"sanctionData": [
{
"category": "string | null", // sanction category
"name": "string | null", // sanction list name
"description": "string | null", // sanction description
"url": "string | null", // reference source URL
"isSanctioned": false, // whether the wallet is officially sanctioned
"createdAt": "ISO-8601 timestamp",
"updatedAt": "ISO-8601 timestamp"
}
]
}
错误情况:
• `403 Unauthorized` → invalid `apiKey`
• `400 Bad Request` → malformed `network` or `walletAddress`
• `500 Internal Server Error` → temporary downstream failure 3. 预测性地毯式拉盘(Rug-Pull)检测工具
ID: predictive_rug_pull
描述: 此 AI 驱动的引擎可预测哪些流动性池或合约未来可能执行“地毯式拉盘”。当您需要在用户存入高风险池之前发出警告,或在链上监控智能合约安全性时,请使用此工具。
➡️ 示例用例:
• “Will this new DeFi pool rug‑pull if I stake my assets?”
• “Monitor my LP position for potential future exploits.” 输入:
名称 | 类型 | 必需 | 描述 |
| string | ✅ | 用于身份验证的 API 密钥 |
| string | ✅ | 区块链网络 ( |
| string | ✅ | 智能合约或流动性池地址 |
输出 (JSON):
{
"message": "string", // e.g. “Success” or error description
"contractAddress": "string", // smart contract address analyzed
"pairAddress": "string", // liquidity pair address on DEX
"contractCreatorAddress": "string | null", // creator address of the contract if known
"risk_score": 0, // numeric internal risk score
"risk_status": "string", // qualitative risk level (e.g. “Low Risk”, “Medium Risk”, “High Risk”)
"risk_indicators": {
"is_honeypot": 0, // honeypot detection flag
"honeypot_with_same_creator": 0, // creator deployed previous honeypots
"can_take_back_ownership": 0, // contract allows reclaiming ownership
"is_mintable": 0, // token supply can be minted
"hidden_owner": 0, // hidden ownership mechanism detected
"buy_tax": 0, // buy transaction tax percentage
"sell_tax": 0, // sell transaction tax percentage
"cannot_buy": 0, // trading restriction preventing buys
"cannot_sell_all": 0, // restriction preventing full sell
"is_blacklisted": 0, // blacklist functionality detected
"is_whitelisted": 0, // whitelist-only functionality detected
"creator_percent": 0, // percentage of supply owned by creator
"lp_holders_locked": false, // liquidity lock status
"liquidity": 0.0, // liquidity amount in base token
"market_cap": 0, // estimated market capitalization
"is_in_dex": 0, // token listed on DEX
"slippage_modifiable": 0, // contract can modify slippage parameters
"transfer_pausable": 0, // transfers can be paused
"is_anti_whale": 0, // anti-whale protection mechanism
"anti_whale_modifiable": 0, // anti-whale parameters modifiable
"trading_cooldown": 0, // cooldown period between trades
"personal_slippage_modifiable": 0, // per-wallet slippage modification
"is_open_source": 0, // contract source verified
"is_proxy": 0, // proxy contract indicator
"owner_address": "string", // owner address of contract
"owner_change_balance": 0, // owner ability to modify balances
"selfdestruct": 0, // self-destruct capability
"external_call": 0, // external calls present
"gas_abuse": 0 // abnormal gas manipulation behavior
},
"liquidityEvent": [
{
"eventType": "string", // liquidity event type (e.g. add/remove)
"amount": 0.0, // liquidity amount affected
"token": "string", // token symbol involved in liquidity
"tx_hash": "string", // transaction hash
"from_address": "string", // address initiating liquidity action
"from_fraud_probability": "0.00–1.00", // fraud probability score for sender
"from_fraud_status": "string", // fraud classification of sender
"createdAt": "ISO-8601 timestamp" // timestamp of liquidity event
}
],
"status": "string", // overall fraud classification of contract
"probabilityFraud": "0.00–1.00", // probability of contract being fraudulent
"chain": "string", // blockchain network identifier (e.g. BNB, ETH, BASE, HAQQ)
"lastChecked": "ISO-8601 timestamp", // last time contract analysis was performed
"contractCreationTime": "ISO-8601 timestamp | null", // contract deployment timestamp
"forensic_details": {
"owner": "object", // owner metadata
"privilege_withdraw": 0, // privileged withdraw capability
"withdraw_missing": 0, // missing withdraw function
"is_open_source": 0, // contract source verification status
"blacklist": 0, // blacklist functionality
"contract_name": "string", // contract/token name
"selfdestruct": 0, // self-destruct capability
"is_proxy": 0, // proxy contract indicator
"approval_abuse": 0 // abnormal token approval behavior
},
"checked_times": 0, // number of times contract has been analyzed
"createdAt": "ISO-8601 timestamp", // record creation time
"updatedAt": "ISO-8601 timestamp" // last update time
}错误情况:
• `403 Unauthorized` → invalid `apiKey`
• `400 Bad Request` → malformed `network` or `walletAddress`
• `500 Internal Server Error` → temporary downstream failure 4. 信用评分工具
ID: credit_score
描述: 针对区块链钱包的 AI 驱动加密信用/信任评分。结合欺诈概率、链上流入/流出分析和社交图谱分析,生成从 1(最高风险)到 9(最高信任)的 riskRating。专为需要快速、单一数字钱包信用度信号的 DeFi 借贷协议设计。
➡️ 示例用例:
• "What is the credit score for this wallet?"
• "What's the calculated trust score for this borrower?"
• "Calculate credit score before approving this loan."输入:
名称 | 类型 | 必需 | 描述 |
| string | ✅ | 用于身份验证的 API 密钥 |
| string | ✅ | 区块链网络 ( |
| string | ✅ | 要评分的钱包地址 |
输出 (JSON):
{
"message": "Success",
"creditData": {
"riskRating": 7,
"walletAddress": "0x..."
}
}riskRating | 风险等级 | 借贷解读 |
9 | 极低风险 | 优质借款人 |
7–8 | 低风险 | 可靠借款人 |
5–6 | 中等风险 | 需提高警惕 |
3–4 | 高风险 | 限制性条款 |
1–2 | 极高风险 | 拒绝 |
错误情况:
• `401 Unauthorized` → invalid `apiKey`
• `400 Bad Request` → malformed `network` or `walletAddress`
• `500 Internal Server Error` → temporary downstream failure5. 代币排名列表工具
ID: token_rank_list
描述: TokenRank 分析代币持有者社区,并根据持有者的实力对每个代币进行排名。代币持有者越强,代币越强! 当您需要了解代币的排名或在不同类别和链之间进行比较时,请使用此工具。 您可以使用搜索、过滤、排序和分页功能,返回代币列表。
➡️ 示例用例: – “AI 代币类别中最好的代币是什么?” – “比较 ETH 链和 BNB 链上的 x 代币?”
输入:
名称 | 类型 | 必需 | 描述 |
| string | ✅ | 分页时获取的项目数量 |
| string | ✅ | 分页时的页码(偏移量) |
| string | 要过滤的区块链网络 ( | |
| string | 根据什么对返回的代币进行排序 (例如:'communityRank') | |
| string | 'ASC' 或 'DESC',对 sort_by 的值进行排序 | |
| string | 根据代币类别过滤 (例如 'AI Token','RWA Token','DeFi Token','DeFAI Token','DePIN Token') | |
| string | 根据合约名称搜索 |
输出 (JSON):
{
"message": "string", // e.g. “Successfully fetched records” or error description
"data": {
"total": 0, // integer — total number of matching contracts
"contracts": [
{
"contractAddress": "string", // unique contract or mint address (chain-specific format)
"contractName": "string", // human-readable token name
"ticker": "string", // token symbol (usually uppercase, but not guaranteed)
"chain": "string", // blockchain network (e.g. SOLANA | ETH | BNB | BASE)
"category": "string", // primary category label (e.g. 'AI Token','RWA Token','DeFi Token','DeFAI Token','DePIN Token')
"type": "string", // asset classification (e.g. “token” | “nft”)
"communityRank": 0, // integer — raw ranking based on community metrics
"normalizedRank": 0, // integer — normalized or scaled ranking score
"totalHolders": 0, // integer — total unique wallet holders
"lastProcessedAt": "ISO-8601", // timestamp when analytics were last computed
"createdAt": "ISO-8601", // record creation timestamp
"updatedAt": "ISO-8601" // record last update timestamp
}
]
}
}错误情况:
• `400 Bad Request` → malformed `network` or `walletAddress`
• `500 Internal Server Error` → temporary downstream failure 6. 代币排名单项工具
ID: token_rank_single
描述: 与 TokenRank 列表类似,代币排名分析代币持有者社区,并根据持有者的实力对每个代币进行排名。 除了代币排名和代币详情外,代币排名单项工具还会获取最佳持有者的详细信息及其在同一网络中的 globalRank。 当您需要根据合约地址和确切的链或网络了解单个代币的排名,或者需要特定网络或链中特定代币的最佳持有者时,请使用此工具。
➡️ 示例用例: – “ETH 网络中代币的代币排名是多少?” – “此合约代币地址的最佳持有者是谁?” – “代币排名及其最佳持有者是什么?”
输入:
名称 | 类型 | 必需 | 描述 |
| string | ✅ | 要评估的代币合约地址 |
| string | ✅ | 要过滤的区块链网络 ( |
输出 (JSON):
{
"message": "string", // e.g. “Successfully fetched records” or error description
"data": {
"contract": {
"contractAddress": "string", // unique contract or mint address (chain-specific format)
"contractName": "string", // human-readable token name
"ticker": "string", // token symbol (usually uppercase, but not guaranteed)
"chain": "string", // blockchain network (e.g. SOLANA | ETH | BNB | BASE)
"category": "string", // primary category label (e.g. 'AI Token','RWA Token','DeFi Token','DeFAI Token','DePIN Token')
"type": "string", // asset classification (e.g. “token” | “nft”)
"communityRank": 0, // integer — raw ranking based on community metrics
"normalizedRank": 0, // integer — normalized or scaled ranking score
"totalHolders": 0, // integer — total unique wallet holders
"lastProcessedAt": "ISO-8601", // timestamp when analytics were last computed
"createdAt": "ISO-8601", // record creation timestamp
"updatedAt": "ISO-8601" // record last update timestamp
},
"topHolders": [
{
"contractAddress": "string", // associated contract address
"Holder": {
"walletAddress": "string", // holder wallet address
"chain": "string", // blockchain network of the wallet
"balance": "string", // token balance (string to preserve precision)
"walletAgeInDays": 0, // integer — age of wallet in days
"transactionsNumber": 0, // integer — total transaction count
"totalPoints": 0.0, // float — computed wallet scoring metric
"globalRank": 0 // integer — wallet rank across entire system
}
}
]
}
}错误情况:
• `400 Bad Request` → malformed `network` or `walletAddress`
• `500 Internal Server Error` → temporary downstream failure 🧠 客户端使用示例
Node.js 示例
import { MCPClient } from "mcp-client";
const client = new MCPClient("https://prediction.mcp.chainaware.ai/");
const result = await client.call("predictive_rug_pull", {
apiKey: "your_api_key",
network: "BNB",
walletAddress: "0x1234..."
});
console.log(result);Python 示例
from mcp_client import MCPClient
client = MCPClient("https://prediction.mcp.chainaware.ai/")
res = client.call("chat", {"query": "What is the rug pull risk of 0x1234?"})
print(res)服务配置:
"type": "sse",
"config": {
"mcpServers": {
"chainaware-behavioural_prediction_mcp": {
"type": "sse",
"url": "https://prediction.mcp.chainaware.ai/sse",
"description": "The Behavioural Prediction MCP Server provides AI-powered tools to analyze wallet behaviour prediction,fraud detection and rug pull prediction.",
"headers":{
"x-api-key":""
},
"params":{
"walletAddress":"",
"network":""
},
"auth": {
"type": "api_key",
"header": "X-API-Key"
}
}
}
}
}🔌 集成说明
✅ 兼容 Node.js、Python 和 基于浏览器 环境的 MCP 客户端
🔁 使用 服务器发送事件 (SSE) 进行流式传输/实时响应
📐 JSON 模式符合 MCP 规范
🚦 可能根据使用层级应用速率限制
🔑 生产环境端点需要 API 密钥
Claude Code (CLI) 配置
使用 Claude CLI 通过 SSE 传输注册 MCP 服务器:
claude mcp add --transport sse chainaware-behavioural-prediction-mcp-server https://prediction.mcp.chainaware.ai/sse \
--header "X-API-Key: your-key-here"📚 文档: https://code.claude.com/docs/en/mcp
ChatGPT 连接器配置
适用于支持 连接器 / MCP (开发者模式) 的 ChatGPT 环境。
步骤
打开 ChatGPT 设置
导航至 应用 / 连接器
点击 添加连接器
输入下方的集成名称和 URL
保存配置
集成详情
名称
ChainAware Behavioural Prediction MCP Server集成 URL
https://prediction.mcp.chainaware.ai/sse?apiKey=your-key-hereClaude Web & Claude Desktop 配置
步骤
打开 Claude Web 或 Claude Desktop
前往 设置 → 集成
点击 添加集成
输入下方的名称和 URL
点击 添加 完成设置
集成详情
名称
ChainAware Behavioural Prediction MCP Server集成 URL
https://prediction.mcp.chainaware.ai/sse?apiKey=your-key-here📚 文档: https://platform.claude.com/docs/en/agents-and-tools/remote-mcp-servers
Cursor 配置
将 MCP 服务器添加到您的 Cursor 配置文件 (例如 mcp.json):
{
"mcpServers": {
"chainaware-behavioural-prediction-mcp-server": {
"url": "https://prediction.mcpbeta.chainaware.ai/sse",
"transport": "sse",
"headers": {
"X-API-Key": "your-key-here"
}
}
}
}📚 文档: https://cursor.com/docs/context/mcp
🤖 Claude Code 子代理
此仓库在 .claude/agents/ 中包含了 32 个即用型 Claude Code 子代理 — 这些专业代理可以直接处理常见的 Web3 智能任务。
代理 | 用途 |
| 全面尽职调查 — 深度行为分析,包括欺诈信号 |
| 快速钱包欺诈筛选 |
| 智能合约 / LP 安全检查 |
| 信任评分 (0.00–1.00) |
| 用于借贷和信用度决策的加密信用评分 (1–9) |
| 基于行为信号的 12 个月收入潜力 (LTV) 美元范围 |
| 声誉评分 (0–4000) |
| AML 合规评分 (0–100) |
| 钱包经验排名 + 排行榜 |
| 个性化营销信息 |
| 按持有者社区实力发现/排名代币 |
| 单一代币深度分析 + 顶级持有者 |
| 将钱包引导至新手/中级/跳过引导流程 |
| 将钱包分类为鲸鱼层级 (巨鲸/鲸鱼/新兴) |
| 按经验 + 风险等级推荐个性化 DeFi 产品 |
| 批量筛选钱包的空投资格,过滤机器人/欺诈 |
| 借款人风险等级 (A–F)、抵押率、利率层级 |
| 上线前发布安全审计 — 通过/有条件通过/拒绝 |
| 通过代理 + 馈送钱包检查的 AI 代理信任评分 0–10 |
| 将一批钱包细分为行为群体,并制定针对群体的参与策略 |
| 实时交易前判定 (安全 / 谨慎 / 阻止) — 在交易、转账或合约交互之前 |
| DAO 投票者筛选 — 女巫攻击检测、治理层级和投票权重乘数 (支持代币加权、声誉加权和二次方模型) |
| DAO 投票的批量女巫攻击检测 — 将投票者分类为 合格 / 审查 / 排除,检测协调的欺诈模式 (钱包农场、新钱包激增),并生成声誉加权投票乘数 |
| 自主代理的实时交易风险评分 — 综合评分 (0–100) 和流水线操作 (允许 / 标记 / 挂起 / 阻止) |
| 销售线索资格评估 — 线索评分 (0–100)、层级 (热/温/冷/死)、转化概率和推荐的外联角度 |
| 现有用户的追加销售路径 — 升级准备度评分、下一个产品推荐、触发事件和即用型追加销售信息 |
| 针对特定平台特定钱包的上下文欢迎信息 — 同一钱包在 Aave、1inch 和 OpenSea 上会收到不同的信息 |
| 全周期活动编排器 — 细分受众、评分线索、检测鲸鱼、构建群体信息手册、浮现追加销售机会并引导新钱包 |
| 第一层符合 MiCA 的合规筛选 — 将欺诈检测器、AML 评分器、交易监控器和交易对手筛选器编排为带有结论 (通过 / EDD / 拒绝) 的合规报告 |
| Web3 游戏和 P2E 钱包筛选 — 检测机器人农场、作弊者和农场钱包;将合法玩家分类为经验层级以进行匹配;输出 P2E 奖励资格 |
| 投资组合级地毯式拉盘和社区健康评估 — 扫描每个代币,生成加权投资组合风险评分、等级 (A–F)、集中度标记和优先再平衡计划 |
| RWA 投资者适用性筛选 — 评估欺诈风险、经验和风险概况与 RWA 层级的匹配度;返回 合格 / 有条件 / 转至 KYC / 不合格,并附带投资上限 |
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