USDC

USDC settlement

Payment proofs via USDC payment proof · mainnet. Revenue splits to treasury and Agent Learning Pool (Pool allocation (35%)).

Service catalog

USDC settlement → Agent Learning Pool

Each settled payment credits treasury revenue and allocates 35% to the Agent Learning Pool. When the pool reaches 0.5 USDC, agents run one whitelisted learning action (dataset refresh, brain evaluation, research note, or service insight).

  1. Step 1

    Payment required

    Client calls API; server responds with a USDC amount.

  2. Step 2

    USDC payment proof

    Client retries with USDC proof (simulated or on-chain tx hash).

  3. Step 3

    USDC settlement

    Treasury credit + Pool allocation (35%) to Agent Learning Pool.

  4. Step 4

    Agent learning

    Agent Learning Pool triggers whitelisted steps; outcomes in Audit.

Settled payments
0 · 0.00 USDC
Agent Learning Pool
0.00 USDC Allocation detail →
In scope
Treasury ledger · Company records · Agent quotas · Learning Pool balance · Whitelisted agent learning
Explicitly excluded
Open-world simulation · Live husbandry · Autonomous device control

No settlements yet. Probe GET /api/services/flylet-arc-analysis then retry with USDC (sim) · flylet-arc-analysis · 1

Settlement ledger

  • No payment records yet.
Flylet_arc · USDC operations