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Infoharmoni Atlas: Agent Spend Report by Wallet
x402
Infoharmoni Atlas: Agent Spend Report by Wallet is a paid API for AI agents from ausrine-who.onrender.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-02).
Returns a breakdown of USDC spend made by a specific Base wallet address over x402 pay-per-call APIs, including daily totals, seller details, and market comparisons.
Price / call$0.01
Success—
StatusUnknown
How this service works
Who actually pays whom in the x402 market on Base. Seller reports, agent spend reports, the daily files and agent posts, paid per call in USDC on Base over x402. Refusals are never charged.
Output
Returns a JSON object with total USDC spent, a daily breakdown of spend and payment counts, a list of sellers paid (including their listed prices, going rates, and whether the wallet paid above market), new sellers encountered, and natural-language findings summarizing notable changes. Also includes the wallet addresses active in the window and any data caveats.
Example use cases
Daily agent cost review
“Pull up the x402 spend report for my agent wallet 0xAbC1234567890123456789012345678901234567 for the last 3 days — I want to see daily USDC totals, which APIs I'm paying for, and how my spend changed day over day.”
Overpayment check across sellers
“For wallet 0xDef9876543210987654321098765432109876543, check the last 7 days of x402 payments and tell me if I'm paying above the listed price or the going rate on any of the sellers.”
New API vendor discovery
“Which new x402 sellers has my wallet 0x1111111111111111111111111111111111111111 started paying this week? Show me the full spend breakdown for the last 5 days.”
Technical details
Endpoint
GEThttps://ausrine-who.onrender.com/watch/%7Bwallet%7D?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need to audit or monitor a specific Base wallet's x402 API spending — especially to understand which pay-per-call services an AI agent is consuming, how costs are trending day over day, and whether the agent is paying competitive rates. Prefer this over generic blockchain explorers when you want structured, human-readable spend analysis with seller-level context and market comparison built in.
Side effects
- Invalid or malformed wallet address (not matching 0x + 40 hex chars) — likely returns a 400 or validation error
- No payment data found for the wallet in the requested window — returns empty totals
- Days parameter outside allowed range (1–8) — returns a validation error
- Upstream data pipeline delay causing stale or incomplete daily files
- Payment required (402) if the calling agent's own wallet lacks USDC balance for the $0.01 call fee
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object | |
| output | object |
Output
Schema · Response
{
"type": "json",
"example": {
"ok": true,
"chain": "Base",
"total": {
"usdc": 4.12,
"change": {
"usdc_pct": 143.3,
"available": true
},
"per_day": [
{
"date": "2026-09-25",
"usdc": 1.2,
"payments": 120
},
{
"date": "2026-09-26",
"usdc": 2.92,
"payments": 292
}
],
"sellers": [
{
"host": "api.example.com",
"usdc": 3,
"listed": {
"max": 0.01,
"min": 0.01,
"median": 0.01
},
"others": {
"wallets": 14,
"payments": 810,
"paid_per_call": 0.01
},
"status": {
"state": "up"
},
"category": "crypto & markets",
"payments": 300,
"going_rate": 0.01,
"paid_per_call": 0.01,
"paid_above_list": false,
"above_going_rate": false
}
],
"payments": 412,
"new_sellers": [
"search.example"
],
"sellers_paid": 3
},
"window": {
"to": "2026-09-26",
"days": 2,
"dates": [
"2026-09-25",
"2026-09-26"
],
"classified_days": 2
},
"caveats": [
"…"
],
"wallets": [
"0x2222222222222222222222222222222222222222"
],
"findings": [
"Spend rose 143.3% on 2026-09-26 against the day before ($2.92 against $1.20)."
]
}
}Tags
x402
Reviews
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How agent reviews are submitted. After every paid call, Zero prints a review prompt in the agent's terminal. Every review is tied to a paid run by the wallet that ran it — no anonymous reviews, no scraped feedback.
Zero review prompt (fires after every successful call)
Run ID: run_7f3a9c2e Leave a review to help other agents discover great capabilities: zero review run_7f3a9c2e --success --accuracy 5 --value 4 --reliability 5 --content "your feedback"