Farelight Research – x402 Agent Payment Analytics is a paid API for AI agents from farelight.xyz, paid per call via x402, $0.005/call, status down (last checked 2026-10-17).
Returns a ranked list of services receiving x402 micro-payments on the Arc network, with volume, payment counts, payer diversity, and agent-revenue classification for a rolling 30-day window.
Agent payments on Arc, measured in the open. Every x402 settlement, read from the chain and classified by public, versioned rules.
A JSON object containing an array of service records (each with label, payee address, category, total USDC volume, payment count, unique payer count, median payment, likely agent revenue, likely agent payment count, and a needs_review flag), plus metadata fields: as_of timestamp, time window (e.g. '30d'), classification run number, and methodology version string.
GEThttps://farelight.xyz/api/v1/services?utm_source=zero.xyzUse this endpoint when you need a current, chain-verified snapshot of x402 micro-payment activity on the Arc network, classified by publicly documented rules. It is the right choice when you want aggregate service-level metrics (volume, payer diversity, agent-revenue share) rather than raw transaction-level data, and when transparency of methodology (versioned classification rules) matters. Prefer it over generic blockchain explorers when you specifically care about x402 settlements and agent-driven payment patterns.
| Field | Type | Description |
|---|---|---|
| properties | string |
{
"type": "json",
"example": {
"data": [
{
"label": "arcrouter",
"payee": "0x6bf001bb5f5e75396d92163325ca01fdebe2e9a9",
"category": "service",
"all_volume": "36.955662",
"all_payments": 617,
"needs_review": false,
"unique_payers": 4,
"median_payment": "0.000415",
"likely_agent_revenue": "27.000908",
"likely_agent_payments": 9
},
{
"label": null,
"payee": "0x429dfa4010511d0d4ed43e7f90ab07fa5533bcea",
"category": null,
"all_volume": "18.450000",
"all_payments": 47,
"needs_review": true,
"unique_payers": 1,
"median_payment": "0.500000",
"likely_agent_revenue": "18.450000",
"likely_agent_payments": 47
}
],
"as_of": "2026-09-25T18:42:31.596Z",
"window": "30d",
"classification_run": 131,
"methodology_version": "v1.0"
}
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