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Agentbit Wallet Counterparties
x402
Agentbit Wallet Counterparties is a paid API for AI agents from agentbit.app, paid per call via x402, $0.01/call, status unknown (last checked 2026-09-13).
Returns a ranked list of counterparties (addresses, names, interaction counts, value flows) from a wallet's most recent ~100 transactions on Base.
Price / call$0.01
Success—
StatusUnknown
How this service works
Who does this wallet transact with? Recent activity (~100 transactions) aggregated into a ranked counterparty list: address, explorer name where known, interactions in/out, total native value, first/last seen, methods used. The related-wallets answer from open data — honest about being a recent-activity sample.
Output
A JSON object containing the queried address, network identifier, a note about the sampling window, the number of sampled transactions, the count of unique counterparties found, and an array of ranked counterparty objects each with: address, optional explorer name, sent count, received count, total interactions, total native value in ETH, first seen and last seen ISO-8601 timestamps, and an array of contract methods used.
Example use cases
Crypto due diligence on a counterparty
“Before I send funds to 0x14d7809559ef382d292e073f74f5ee86669cf823, can you check who that Base wallet usually transacts with and surface the top 5 counterparties so I can gauge if it looks legitimate?”
Mapping a DeFi wallet's relationships
“Can you pull the top 15 counterparties for the Base wallet 0x4395c7e383b7e05665aad7f36ed77c01923dd965 — I want to see which protocols or addresses it interacts with most, what methods were called, and the first and last time each one appeared?”
Fraud or anomaly investigation
“This wallet 0xabc123...def456 on Base looks suspicious — show me its top 10 transaction partners from recent activity so I can identify any known bad actors or unusual concentration of flows.”
Technical details
Endpoint
POSThttps://agentbit.app/v1/wallet/counterpartiesWhen to prefer
Choose this endpoint when you need a quick, ranked relationship map of a Base wallet's recent activity without running full historical indexing. It is ideal for due diligence on unknown addresses, fraud screening, understanding protocol usage patterns, or building a counterparty graph from open chain data. Prefer it over a raw transaction list endpoint when you want aggregated, human-readable counterparty summaries rather than individual transaction records. Note it is a recent-activity sample (~100 txns), not a complete historical graph.
Side effects
- Invalid or malformed EVM address returns an error
- Address with no transactions returns an empty counterparty list
- top parameter out of range (>25 or <1) may return validation error
- Non-Base EVM addresses may return no results since only Base chain is indexed
- Very new wallets with fewer than ~10 transactions may return sparse results
- Network timeouts or upstream RPC issues may result in 5xx errors
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| top | integer | Max counterparties to return (1-25, default 10) |
| address | string | EVM address on Base (0x + 40 hex) |
Output
Schema · Response
{
"type": "json",
"example": {
"note": "Aggregated from the most recent ~64 native transactions — a recent-activity sample, not a complete relationship graph.",
"address": "0x4395c7e383b7e05665aad7f36ed77c01923dd965",
"network": "eip155:8453",
"counterparties": [
{
"name": null,
"sent": 0,
"address": "0x14d7809559ef382d292e073f74f5ee86669cf823",
"methods": [
"transferWithAuthorization"
],
"received": 40,
"last_seen": "2026-09-06T09:56:34Z",
"first_seen": "2026-09-01T10:00:00Z",
"interactions": 40,
"total_value_eth": 0
}
],
"sampled_transactions": 64,
"unique_counterparties_in_sample": 9
}
}Tags
x402
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