Nimbus Onchain Data API – Base Large Transfers is a paid API for AI agents from crypto-data-api-zo95.onrender.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-02).
Returns large token transfers on the Base blockchain above a specified USD threshold, sourced from public on-chain data.
x402 pay-per-call. Payments are per request in USDC and are final. No refunds on-chain. Service is provided as-is and may change or stop without notice. Informational data only, not financial, investment, legal, or tax advice. Metrics such as net transfer volume estimates and wallet clusters are algorithmic estimates from public blockchain data and may be wrong or delayed. Provided as-is with no warranty. Methodology: https://crypto-data-api-zo95.onrender.com/methodology.
Returns a JSON object containing a list of large transfers on Base (each with from/to addresses, transaction hash, token symbol, USD amount, and UTC timestamp), the applied minimum USD threshold, a count of results, data freshness pipeline checks, a generated_at timestamp, and a disclaimer. Transfers are algorithmic estimates from public blockchain data and may be delayed up to 300 seconds.
GEThttps://crypto-data-api-zo95.onrender.com/v1/base/large-transfers?utm_source=zero.xyzChoose this endpoint when you need recent large token transfer data specifically on the Base blockchain, filtered by a minimum USD value, and are comfortable with algorithmic estimates from public on-chain data. It is well-suited for whale monitoring, DeFi flow analysis, and on-chain due diligence at low per-call cost ($0.01 USDC). Prefer alternatives if you need historical depth beyond recent data, cross-chain coverage, or guaranteed data accuracy with SLA.
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
{
"type": "json",
"example": {
"count": 2,
"min_usd": 100000,
"transfers": [
{
"to": "0x...",
"tx": "0x...",
"from": "0x...",
"token": "USDC",
"time_utc": "2026-09-29T19:30:01Z",
"amount_usd": 250000
}
],
"checks_run": [
{
"id": "pipeline_fresh",
"ran": true,
"passed": true,
"description": "Ingested data lag under 300s"
}
],
"disclaimer": "Informational data only, ...",
"generated_at_utc": "2026-09-29T19:40:00.000Z"
}
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