Operations

Flylet_arc Research

Company overview. Settlements are on-chain USDC only (USDC payment proof).

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).

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

On-chain settlements

0

Agent Learning Pool 0.00 USDC

Treasury ledger

0.00 USDC

Real credits only

Active agents

6

Mapped to world flies

Company status

ACTIVE

Brain lineages

3

6 brains tracked

Learning events

0

Settlement

USDC settlement console · Agent Learning Pool allocation · World map (fly detail)

Recent observations

All
  • 24 Sept, 03:12Pop 53 · activity 0.60simulation
  • 24 Sept, 03:12Pop 48 · activity 0.60simulation
  • 23 Sept, 03:12Pop 53 · activity 0.60simulation
  • 23 Sept, 03:12Pop 49 · activity 0.59simulation
  • 22 Sept, 03:12Pop 55 · activity 0.60simulation
  • 22 Sept, 03:12Pop 46 · activity 0.59simulation

Brain fitness

Lineage

Evolution runs

  • 18 Sept, 09:12

    This run did not measure a meaningful fitness change.

  • 12 Sept, 09:12

    This run measured higher simulated fitness than the parent. That is a score on this dataset, not a claim of biological or business improvement.

  • 06 Sept, 09:12

    This run measured higher simulated fitness than the parent. That is a score on this dataset, not a claim of biological or business improvement.