Crest Wallet Intelligence – x402 Behavioral Profile is a paid API for AI agents from data.crestsystems.ai, paid per call via x402, $0.9/call, status down (last checked 2026-09-15).
Returns a deep behavioral and spending profile for any EVM wallet address based on its x402 pay-per-request payment history on Base mainnet.
Crypto market data, DeFi analytics, and x402 ecosystem intelligence via pay-per-request USDC on Base mainnet.
Returns a structured JSON profile including: behavioral cluster (e.g. premium_buyer), whale score, repeat rate, total USDC spent, number of services used, total payment count, average payment size, temporal activity patterns (peak hour, most active day), intelligence fields (spending trend, velocity percentile, risk level, confidence), and a ranked list of top services the wallet has paid for.
GEThttps://data.crestsystems.ai/data/wallet/%7Baddress%7DUse this endpoint when you need to understand the on-chain x402 payment behavior of a specific wallet — their buyer tier, spending patterns, risk profile, and service usage — rather than general token holdings or DeFi positions. Prefer this over generic blockchain explorers when the agent needs structured intelligence scores and behavioral clusters rather than raw transaction data.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"address": "0xd8dA6BF26964aF9D7eEd9e03E53415D37aA96045",
"profile": {
"cluster": "premium_buyer",
"active_days": 38,
"repeat_rate": 0.73,
"whale_score": 0.82,
"last_payment": "2026-05-16T19:45:00Z",
"first_payment": "2026-04-01T08:00:00Z",
"premium_ratio": 0.61,
"services_used": 11,
"total_payments": 142,
"avg_payment_usdc": 2.01,
"total_spent_usdc": 285.5
},
"sources": [
"base:mainnet:usdc-transfers",
"crest:profiler:v2"
],
"temporal": {
"peak_hour_utc": 14,
"most_active_day": "Tuesday",
"avg_payments_per_day": 3.7
},
"queriedAt": "2026-05-16T20:00:00.000Z",
"intelligence": {
"behavior": "premium_buyer",
"is_whale": true,
"confidence": 0.94,
"risk_level": "low",
"spending_trend": "increasing",
"velocity_rank_percentile": 92
},
"top_services": [
{
"calls": 35,
"avg_price": 3.01,
"last_used": "2026-05-16T19:30:00Z",
"spent_usdc": 105.2,
"service_address": "0x5d6dF6b10C54617dac4Bf9993ad9fA384b7B36d3"
},
{
"calls": 22,
"avg_price": 2.05,
"spent_usdc": 45,
"service_address": "0x6d6E695bB2F5e5F0DeBd3E2b15f111Fb56F3d5b21"
}
]
}
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