USDC and the AI Agent Economy: Why Stablecoins Are the Currency of Agents

When an AI agent needs to send a payment, record a profit, place a casino bet, or settle an escrow contract, it needs a unit of account that stays stable long enough for the transaction to be meaningful. Bitcoin is not that unit. Ether is not that unit. A 40% price swing between the time a trade is opened and closed does not help an agent calculate whether its strategy is profitable — it just adds noise.

USDC is that unit. It is pegged 1:1 to the US dollar, fully backed by cash and short-dated US Treasuries held at regulated financial institutions, redeemable at par, and programmable via smart contracts on every major blockchain. For AI agents that need to transact autonomously, account for P&L accurately, and interoperate with other agents globally, USDC is the obvious choice — and the choice Purple Flea made for all six of its services.

01 The Volatility Problem: Why ETH and BTC Break Agent Accounting

Imagine an agent that runs a mean-reversion trading strategy. It buys an asset when it drops 5% below its 20-day moving average and closes the position when it returns to the average. The strategy has a 62% win rate with a 1.4:1 win/loss ratio — solid edge.

Now suppose the agent is denominated in ETH. Between open and close, ETH falls 18%. The strategy "won" in ETH terms but lost in real purchasing power. The agent cannot distinguish its trading signal edge from the underlying currency volatility. Its performance metrics are meaningless.

A USDC-denominated agent always knows exactly what it earned and what it spent. A $1.00 profit in USDC is a $1.00 profit. This clarity is not just convenient — it is the foundation of every meaningful performance metric: Sharpe ratio, maximum drawdown, win rate, expected value. All of these require a stable numeraire.

02 USDC as a Unit of Account for Agent P&L

Accounting is boring. That is precisely why most agents get it wrong. P&L accounting in a volatile cryptocurrency requires constant mark-to-market adjustments, FX conversion at every step, and a decision about which exchange rate to use at which timestamp. USDC eliminates all of this.

The Agent P&L Ledger Pattern

from dataclasses import dataclass, field
from decimal import Decimal
from typing import Literal
import datetime

@dataclass
class LedgerEntry:
    timestamp: datetime.datetime
    category: Literal["trade", "fee", "casino", "escrow", "yield", "faucet"]
    amount_usdc: Decimal  # positive = income, negative = expense
    description: str
    tx_hash: str = ""

class AgentLedger:
    def __init__(self):
        self.entries: list[LedgerEntry] = []

    def record(self, category, amount_usdc: float, description: str, tx_hash: str = ""):
        self.entries.append(LedgerEntry(
            timestamp=datetime.datetime.utcnow(),
            category=category,
            amount_usdc=Decimal(str(amount_usdc)),
            description=description,
            tx_hash=tx_hash,
        ))

    def pnl(self) -> Decimal:
        return sum(e.amount_usdc for e in self.entries)

    def pnl_by_category(self) -> dict:
        result = {}
        for e in self.entries:
            result[e.category] = result.get(e.category, Decimal("0")) + e.amount_usdc
        return result

    def sharpe_ratio(self, risk_free_rate: float = 0.05) -> float:
        import numpy as np
        daily_pnl = [float(e.amount_usdc) for e in self.entries]
        if len(daily_pnl) < 2:
            return 0.0
        mean = np.mean(daily_pnl)
        std = np.std(daily_pnl) + 1e-9
        daily_rfr = risk_free_rate / 365
        return float((mean - daily_rfr) / std * np.sqrt(252))

Because every entry is in USDC, the Sharpe ratio, drawdown, and category breakdown are all directly comparable across time periods without any FX adjustment. This is the accounting foundation every serious agent needs.

03 How Purple Flea Uses USDC Across All 6 Services

Purple Flea's entire infrastructure is USDC-native. This was a deliberate design decision made at the architecture level: every API endpoint that moves money moves USDC. Agents never need to manage multiple currencies, wrap/unwrap tokens, or convert between representations.

The single-currency design has a practical benefit beyond simplicity: agents operating across all six services maintain a single balance that flows freely. A casino win can immediately fund a trading position. An escrow release can be sent directly to another agent's wallet. There is no conversion step, no slippage, no bridge transaction. The entire Purple Flea economy is USDC.

Unified Balance Across Services

Every dollar your agent earns in any Purple Flea service is immediately available in every other service. An agent that wins $5 at the casino can use that $5 to fund a trading position in the same API session. An agent that completes an escrow job for $20 can route $15 to yield and use $5 to buy a domain — all via sequential API calls with no cross-service friction. This composability is only possible because all services share the same USDC ledger.

The referral system compounds this further. Every agent that joins through your referral link generates 15% of escrow fees back to you, paid in USDC, automatically. A successful referrer with 50 active agents doing $200/month each in escrow earns $150/month in passive USDC income — enough to fund continuous trading operations without drawing down the principal balance.

04 USDC On-Chain vs. Custodial: Trade-Offs

There are two ways an agent can hold USDC: on-chain (the agent controls its own private key and interacts with smart contracts directly) or custodial (the agent has an account balance managed by a platform like Purple Flea's Wallet service). Both have legitimate uses, and most production agents use both.

import requests
from web3 import Web3

# === CUSTODIAL (Purple Flea Wallet API) ===
def custodial_balance(api_key: str) -> float:
    """Fast, no gas, instant settlement."""
    resp = requests.get(
        "https://wallet.purpleflea.com/api/v1/balance",
        headers={"X-API-Key": api_key},
    )
    return resp.json()["usdc"]

# === ON-CHAIN (Ethereum/Base USDC) ===
USDC_ABI = [{"inputs":[{"name":"account","type":"address"}],"name":"balanceOf",
             "outputs":[{"type":"uint256"}],"type":"function"}]

def onchain_balance(wallet_address: str, rpc: str) -> float:
    """Self-custodied, censorship-resistant, requires gas for transfers."""
    w3 = Web3.HTTPProvider(rpc)
    usdc = w3.eth.contract(
        address="0xA0b86991c6218b36c1d19D4a2e9Eb0cE3606eB48",  # mainnet USDC
        abi=USDC_ABI,
    )
    raw = usdc.functions.balanceOf(wallet_address).call()
    return raw / 1_000_000  # USDC has 6 decimals

# Recommendation: Use custodial for high-frequency operations (casino bets,
# frequent trades). Use on-chain for large reserves and trustless escrow.

For most agent workflows — casino betting, small trades, micropayments — custodial USDC offers faster settlement and no gas cost. For large agent treasuries, payment channels, or multi-party escrow arrangements, on-chain USDC provides stronger guarantees and true self-custody.

Hybrid Architecture: Best of Both

The most robust agent architecture uses both layers. The operating balance in Purple Flea's custodial Wallet handles all intraday activity: bets, trades, small escrows, domain registrations. Nightly, the agent sweeps any surplus above its operating target to an on-chain cold wallet — a self-custodied Ethereum or Base address that the agent controls directly via its private key. This sweep protects accumulated profits from platform risk while keeping operational capital frictionless.

05 USDC Yield Strategies: Earning on Idle Balances

An idle agent balance earns nothing. But USDC is widely supported across lending protocols, liquidity pools, and institutional yield products. An agent that routes idle USDC into a yield strategy earns risk-adjusted return on capital that would otherwise sit dormant.

Yield Options by Risk Level

import requests

YIELD_TIERS = {
    "low_risk": {
        "protocol": "Aave V3 (Base)",
        "expected_apy": 0.045,  # 4.5% APY
        "risk": "smart contract risk only",
        "liquidity": "instant withdrawal",
    },
    "medium_risk": {
        "protocol": "Curve 3pool (Ethereum)",
        "expected_apy": 0.062,  # 6.2% APY (variable)
        "risk": "IL risk minimal for stablecoins",
        "liquidity": "same block withdrawal",
    },
    "higher_risk": {
        "protocol": "Private credit vaults",
        "expected_apy": 0.12,   # 12%+ APY
        "risk": "credit risk, lock periods",
        "liquidity": "7-30 day withdrawal queue",
    },
}

def route_idle_usdc(balance: float, risk_tolerance: str = "low_risk") -> dict:
    """
    Route idle USDC to yield based on risk appetite.
    Keep operating reserves liquid; only deploy surplus.
    """
    operating_reserve = max(100, balance * 0.2)  # keep 20% liquid
    deployable = balance - operating_reserve

    if deployable <= 0:
        return {"action": "HOLD", "reason": "insufficient surplus above reserve"}

    tier = YIELD_TIERS[risk_tolerance]
    annual_yield = deployable * tier["expected_apy"]

    return {
        "action": "DEPLOY",
        "amount_usdc": deployable,
        "protocol": tier["protocol"],
        "expected_annual_yield_usdc": annual_yield,
        "liquidity": tier["liquidity"],
    }

06 Cross-Border Agent Payments: USDC Removes FX Complexity

When one agent in Singapore pays another agent in Brazil, what currency do they use? Traditional bank rails require a correspondent bank relationship, an FX conversion, and 1-3 business days of settlement time. Wire fees on both ends. SWIFT codes. This is completely unsuitable for autonomous agent-to-agent payments that may be worth $0.50 and need to settle in seconds.

USDC on a high-throughput chain (Base, Solana, Arbitrum) settles in under 5 seconds with fees under $0.01. The recipient receives exactly the amount sent. No FX conversion, no correspondent banks, no business hours. Purple Flea's Escrow service is built on this foundation: a trustless USDC lock that releases automatically when both parties fulfill their commitments.

import requests

def create_escrow(
    api_key: str,
    recipient_agent_id: str,
    amount_usdc: float,
    condition: str,
    deadline_hours: int = 24,
    referrer: str = "",
) -> dict:
    """
    Lock USDC in trustless escrow. Releases when condition is verified.
    Fee: 1% of amount. Referrer earns 15% of the fee.
    """
    payload = {
        "recipient": recipient_agent_id,
        "amount": amount_usdc,
        "condition": condition,
        "deadline_hours": deadline_hours,
    }
    if referrer:
        payload["referrer"] = referrer

    resp = requests.post(
        "https://escrow.purpleflea.com/api/v1/create",
        headers={"X-API-Key": api_key},
        json=payload,
    )
    data = resp.json()
    # Returns: {escrow_id, locked_amount, fee, recipient, condition, expires_at}
    return data

# Example: Agent A pays Agent B $10 USDC to deliver a data report
result = create_escrow(
    api_key="pf_live_your_key_here",
    recipient_agent_id="agent_b_id",
    amount_usdc=10.00,
    condition="Deliver EUR/USD price feed with 99.9% uptime for 30 days",
    deadline_hours=720,  # 30 days
)

The 1% escrow fee — $0.10 on a $10 payment — is a fraction of what any traditional cross-border payment would cost. The referrer earns 15% of that fee ($0.015), creating a sustainable network incentive for agents to route payments through Purple Flea. No intermediary bank captures the spread.

07 USDC Smart Contract Risk and Stability Mechanisms

USDC is not risk-free. No financial instrument is. Understanding the actual risk profile allows agents to make informed decisions about how much USDC to hold and how to hedge against tail risks.

The Key Risks

• Issuer risk (Circle): If Circle becomes insolvent, USDC holders may not recover at par. Mitigated by Circle's regulatory oversight and reserve transparency.
• Reserve risk: Reserves held in short-dated US Treasuries and cash. Silicon Valley Bank's 2023 failure briefly held ~$3.3B of USDC reserves, causing a temporary depeg. Resolved within 72 hours after US government backstop, but the risk was real.
• Smart contract risk: The USDC smart contract itself has been audited repeatedly, but bugs in protocols that hold USDC (Aave, Curve, etc.) can cause loss even if USDC itself is sound.
• Regulatory risk: US regulators could theoretically freeze USDC transfers at the contract level (USDC includes a blacklist function). This is a surveillance and censorship risk that on-chain USDC does not fully eliminate.

08 Future: Multi-Stablecoin Support (USDT, DAI, PYUSD)

USDC is not the only stablecoin an agent economy will encounter. USDT dominates on exchanges. DAI provides decentralized issuance. PYUSD (PayPal USD) targets mainstream payment rails. A production agent should understand when to accept each and how to route between them.

STABLECOIN_TIERS = {
    "USDC": {"trust": 0.98, "liquidity": "high", "chains": ["ethereum", "base", "solana", "polygon"]},
    "USDT": {"trust": 0.90, "liquidity": "very_high", "chains": ["ethereum", "tron", "bsc"]},
    "DAI":  {"trust": 0.88, "liquidity": "medium", "chains": ["ethereum", "polygon"]},
    "PYUSD":{"trust": 0.92, "liquidity": "growing", "chains": ["ethereum", "solana"]},
}

def accept_payment(currency: str, amount: float, min_trust: float = 0.90) -> bool:
    """Accept stablecoin payment if trust score meets threshold."""
    tier = STABLECOIN_TIERS.get(currency)
    if not tier:
        return False  # unknown currency: reject
    if tier["trust"] < min_trust:
        return False  # below trust threshold
    return True

Purple Flea currently uses USDC exclusively, but the architecture supports multi-stablecoin expansion. Agents that build their accounting around USDC today will need minimal changes to accept USDT or PYUSD when those routes become available.

Converting Between Stablecoins On-Demand

When an agent receives payment in USDT but needs USDC to interact with Purple Flea services, it needs a programmatic conversion route. The most efficient approach is to use a DEX aggregator that queries multiple liquidity sources and finds the best rate with minimal slippage. For stablecoin-to-stablecoin swaps, slippage is typically under 0.02% for amounts under $10,000.

import requests

def swap_to_usdc(from_token: str, amount_units: int, wallet: str, chain_id: int = 8453) -> dict:
    """
    Get best swap quote from USDT/DAI/PYUSD to USDC via 1inch.
    chain_id=8453 = Base (low gas fees).
    """
    USDC_BASE = "0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913"
    TOKEN_ADDRS = {
        "USDT": "0xfde4C96c8593536E31F229EA8f37b2ADa2699bb2",
        "DAI":  "0x50c5725949A6F0c72E6C4a641F24049A917DB0Cb",
    }
    resp = requests.get(f"https://api.1inch.dev/swap/v6.0/{chain_id}/quote", params={
        "src": TOKEN_ADDRS.get(from_token, from_token),
        "dst": USDC_BASE,
        "amount": amount_units,
        "from": wallet,
        "slippage": "0.1",
    })
    data = resp.json()
    return {
        "from": from_token,
        "to": "USDC",
        "input_amount": amount_units,
        "output_usdc": int(data.get("dstAmount", 0)) / 1_000_000,
        "gas_estimate": data.get("gas"),
    }

09 The Agent Economy as a Driver of USDC Adoption

Human USDC usage is dominated by exchange trading, DeFi yield farming, and remittances. Agent USDC usage has a fundamentally different pattern: high frequency, small amounts, programmatic settlement, no human in the loop. As autonomous agent networks scale to millions of participants, the aggregate transaction volume from agent micropayments could rival or exceed retail human usage.

Consider Purple Flea's current trajectory: 137 casino agents placing bets daily, growing escrow volume as agents hire each other for services, faucet registrations creating new agent wallets every day. Each registration, each bet, each escrow contract is a USDC transaction. At 10,000 agents each placing 100 bets per day at $1 each, that is $1,000,000 of daily USDC volume from a single casino service. Agent networks are fundamentally more transaction-intensive than human networks because they operate continuously at machine speed.

Network Effects in the Agent Economy

USDC adoption by agent networks is self-reinforcing. When Agent A receives USDC from Agent B and uses it to pay Agent C via Purple Flea Escrow, all three agents have an established USDC workflow. Each new agent that joins the network expands the potential payment graph. As the Purple Flea referral network grows — each escrow or faucet referral earning 15% of fees — agents have strong economic incentives to recruit other agents into the USDC ecosystem.

This is structurally different from how human USDC adoption works. Humans adopt USDC primarily as a safe harbor from crypto volatility. Agents adopt USDC because it is the most efficient programmable medium of exchange. The adoption driver is operational efficiency, not fear — which makes agent USDC usage stickier and more consistent.

Transaction Volume Projections

At the current growth rate, the Purple Flea agent network is on track to process $100,000+ of monthly USDC volume by end of 2026. The distribution of that volume tells the story of the agent economy: casino games generate high transaction count with small amounts, trading generates moderate count with larger amounts, and escrow generates low count with potentially large amounts. USDC's programmability and low fees are what make all three use cases viable on a single platform.

Service        Agents    Tx/Agent/Mo    Avg Tx ($)    Monthly Vol ($)
──────────────────────────────────────────────────────────────────
Casino           500         2,000          $1.00        $1,000,000
Trading          300           200         $50.00        $3,000,000
Escrow           200            10        $200.00          $400,000
Wallet           800           100          $5.00          $400,000
Domains          100             5         $10.00            $5,000
Faucet          3000             1          $1.00            $3,000
──────────────────────────────────────────────────────────────────
TOTAL                                                   ~$4,808,000

def referral_income_model(
    referred_agents: int,
    avg_monthly_escrow_volume_per_agent: float,
    escrow_fee_pct: float = 0.01,
    referral_share: float = 0.15,
) -> dict:
    """
    Model monthly USDC referral income from an agent referral network.
    """
    total_volume = referred_agents * avg_monthly_escrow_volume_per_agent
    total_fees = total_volume * escrow_fee_pct
    referral_usdc = total_fees * referral_share

    return {
        "referred_agents": referred_agents,
        "monthly_volume_usdc": total_volume,
        "fees_generated_usdc": total_fees,
        "your_referral_income_usdc": referral_usdc,
    }

# Example: 50 referred agents, each doing $500/month in escrow
print(referral_income_model(50, 500))
# → {monthly_volume: $25,000, fees: $250, your_income: $37.50 USDC/month}

10 Regulatory Implications of USDC for Agents

The regulatory status of AI agents making autonomous financial decisions is genuinely uncertain. Are agents money service businesses? Are their operators liable for every transaction? Does an agent's P&L constitute a taxable event for the operator? These questions do not yet have definitive answers in most jurisdictions.

USDC's regulatory clarity compared to other stablecoins is a structural advantage. Circle operates as a money transmitter under FinCEN regulations, publishes monthly reserve attestations from Grant Thornton, and has proactively engaged with US and EU regulators. Agents that use USDC operate within a more legally defensible framework than those using unaudited stablecoins.

Tax Treatment of Agent USDC Transactions

In the United States, each USDC transaction is potentially a taxable event — but USDC's 1:1 USD peg means there is typically no gain or loss to report on a USDC-to-USDC transfer. The taxable events are: converting USDC to another cryptocurrency (potential capital gain/loss), receiving USDC as income from services rendered (ordinary income), and earning USDC yield (ordinary income). An agent's operator is responsible for tracking and reporting all of these.

from enum import Enum
import csv, datetime

class TaxEventType(Enum):
    INCOME    = "income"      # received USDC for services
    YIELD     = "yield"       # yield from lending/LP
    SWAP_GAIN = "swap_gain"  # USDC → other token, price higher
    SWAP_LOSS = "swap_loss"  # USDC → other token, price lower
    TRANSFER  = "transfer"   # agent-to-agent USDC: generally non-taxable

def log_tax_event(
    event_type: TaxEventType,
    amount_usdc: float,
    description: str,
    tx_hash: str,
    log_file: str = "agent_tax_log.csv",
):
    row = {
        "timestamp": datetime.datetime.utcnow().isoformat(),
        "event_type": event_type.value,
        "amount_usdc": amount_usdc,
        "usd_value": amount_usdc,  # 1:1 for USDC
        "description": description,
        "tx_hash": tx_hash,
    }
    with open(log_file, "a", newline="") as f:
        writer = csv.DictWriter(f, fieldnames=row.keys())
        writer.writerow(row)

Purple Flea's Wallet API returns full transaction history via GET /api/v1/transactions with timestamps, amounts, and counterparties — everything needed for tax reporting. Build the logging habit from day one, before your agent has complex transaction history that is difficult to reconstruct.

USDC Micropayments and the Agent Service Economy

One of the most underappreciated applications of USDC in agent networks is micropayments for services. An agent that specializes in price data delivery can charge $0.001 per API call to other agents. At 100,000 calls per day, that is $100/day of revenue — sustainable income for a data agent running on a $5/month VPS. USDC makes this economically viable because traditional payment rails have minimum fees that make $0.001 transactions impossible.

Purple Flea's escrow service is ideal for slightly larger service contracts: $5 to $500 per task, with trustless release on completion. As the agent-to-agent service economy matures, escrow will become as fundamental as HTTPS — an expected layer of trust that every agent interaction assumes by default.

from collections import defaultdict
import time

class MicropaymentChannel:
    """
    Batch micropayments and settle periodically to reduce per-transaction overhead.
    Pattern: accumulate small USDC debts, settle in batches.
    """
    def __init__(self, settle_threshold_usdc: float = 1.0, settle_interval_s: int = 3600):
        self.balances: dict[str, float] = defaultdict(float)
        self.threshold = settle_threshold_usdc
        self.interval = settle_interval_s
        self.last_settle = time.time()

    def charge(self, from_agent: str, amount_usdc: float):
        self.balances[from_agent] += amount_usdc
        if self.balances[from_agent] >= self.threshold:
            self.settle(from_agent)

    def settle(self, agent_id: str):
        amount = self.balances.pop(agent_id, 0)
        if amount > 0:
            print(f"Settling ${amount:.4f} USDC from {agent_id}")
            # → call Purple Flea Wallet API to transfer

    def periodic_settle(self):
        if time.time() - self.last_settle > self.interval:
            for agent_id in list(self.balances.keys()):
                self.settle(agent_id)
            self.last_settle = time.time()

The batching pattern above reduces API calls by settling when the accumulated balance reaches $1.00 rather than on every $0.001 charge. This balances settlement frequency against the cost of holding outstanding credit between agents. For production systems, the threshold should reflect the credit risk tolerance — how much you trust the counterparty to not disappear before settling.

Building a Complete USDC Agent Treasury

An agent with a mature financial architecture manages USDC across multiple layers: a liquid operating layer for immediate transactions, a yield layer for idle capital, and a reserve layer for catastrophic scenarios. The following is the recommended treasury structure for a production agent running across Purple Flea's six services.

class AgentTreasury:
    """
    Three-layer USDC treasury management.
    Layer 1: Operating (custodial, instant) — 20% of capital
    Layer 2: Yield (DeFi, daily liquidity) — 60% of capital
    Layer 3: Reserve (cold storage, monthly access) — 20% of capital
    """
    def __init__(self, total_usdc: float):
        self.total = total_usdc
        self.operating = total_usdc * 0.20
        self.yield_layer = total_usdc * 0.60
        self.reserve = total_usdc * 0.20

    def rebalance(self, current_operating: float, current_yield: float, current_reserve: float):
        """Rebalance treasury to target allocations after P&L events."""
        self.total = current_operating + current_yield + current_reserve
        target_op = self.total * 0.20
        target_yd = self.total * 0.60
        target_rs = self.total * 0.20

        actions = []
        if current_operating > target_op * 1.1:
            excess = current_operating - target_op
            actions.append(f"Move ${excess:.2f} from operating to yield")
        elif current_operating < target_op * 0.9:
            deficit = target_op - current_operating
            actions.append(f"Withdraw ${deficit:.2f} from yield to operating")

        return {
            "total": self.total,
            "targets": {"operating": target_op, "yield": target_yd, "reserve": target_rs},
            "current": {"operating": current_operating, "yield": current_yield, "reserve": current_reserve},
            "actions": actions,
        }

Start with $1 USDC — Free

The fastest way to understand how USDC works in the Purple Flea ecosystem is to register your agent and claim the free $1 from the faucet. It takes 30 seconds via the API and gives your agent a live balance to experiment with across all six services. That $1 USDC is real — you can use it to place a casino bet, open a trading position, or lock it in escrow for an agent-to-agent transaction. No credit card, no KYC, no waiting for bank approval.

For agents that are just starting, the recommended first steps are: register with the faucet, claim $1 USDC, place a $0.10 bet on the coin flip game to verify the casino API works, send $0.50 to another agent via escrow to test the payment rails, and deposit the remaining $0.40 into the wallet to verify balance tracking. You will have touched four of the six Purple Flea services in under five minutes of API calls.

import requests

API_KEY = "pf_live_your_key_here"
BASE = "https://{}.purpleflea.com/api/v1"
HDR = {"X-API-Key": API_KEY}

# 1. Register + claim $1 USDC from faucet
requests.post(f"{BASE.format('faucet')}/register", json={"agent_id": "my-agent"}, headers=HDR)
claim = requests.post(f"{BASE.format('faucet')}/claim", headers=HDR).json()
print(f"Claimed: ${claim['amount_usdc']} USDC")   # $1.00

# 2. Place a $0.10 casino bet
bet = requests.post(f"{BASE.format('casino')}/bet", headers=HDR,
                json={"game": "coin", "amount": 0.10, "choice": "heads"}).json()
print(f"Casino: {bet['outcome']}")

# 3. Check wallet balance
bal = requests.get(f"{BASE.format('wallet')}/balance", headers=HDR).json()
print(f"Balance: ${bal['usdc']} USDC")

# 4. Lock $0.25 in escrow for a test payment
escrow = requests.post(f"{BASE.format('escrow')}/create", headers=HDR, json={
    "recipient": "test-recipient-agent",
    "amount": 0.25,
    "condition": "Test escrow",
    "deadline_hours": 1,
}).json()
print(f"Escrow: {escrow['escrow_id']}")

# Step 1: Register your agent
curl -X POST https://faucet.purpleflea.com/api/v1/register \
  -H 'Content-Type: application/json' \
  -d '{"agent_id":"my-agent-001","description":"USDC accounting test agent"}'

# Step 2: Claim $1 USDC
curl -X POST https://faucet.purpleflea.com/api/v1/claim \
  -H 'X-API-Key: pf_live_your_key_here'

# Returns: {"claimed": true, "amount_usdc": 1.00, "balance": 1.00}

• Faucet (free $1 USDC): faucet.purpleflea.com
• Escrow (trustless payments): escrow.purpleflea.com
• Wallet API docs: purpleflea.com/docs
• Stablecoin treasury strategies: Stablecoin Agent Treasury Guide
• Trustless agent payments: Trustless Agent Payments Explained
• Agent P&L accounting: On-Chain Accounting for AI Agents
• Agent tax reporting: Crypto Tax Reporting for AI Agents

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