Datasets:

clicksprotocol
/

agent-treasury-benchmark

license: mit
task_categories:
  - tabular-regression
  - time-series-forecasting
tags:
  - defi
  - yield
  - usdc
  - base
  - ai-agents
  - treasury
  - agent-economics
  - x402
  - aave
  - morpho
  - mcp
pretty_name: Agent Treasury Benchmark
size_categories:
  - 1K<n<10K
language:
  - en

Agent Treasury Benchmark

Simulated treasury performance data for AI agents using Clicks Protocol on Base.

What is this?

A benchmark dataset for evaluating agent treasury strategies: how AI agents manage idle USDC through automated yield protocols. Each row represents one agent's monthly treasury snapshot.

Use this to:

Benchmark different yield allocation strategies (5-50% yield split)
Model agent economics under varying DeFi conditions
Train models to predict optimal yield percentages
Evaluate referral network growth patterns
Study x402 payment flow economics

Dataset Structure

agent_treasury_monthly.csv

Column	Type	Description
agent_id	string	Unique agent identifier (0x address)
month	int	Month number (1-12)
yield_protocol	string	Active protocol (aave_v3 or morpho)
apy_percent	float	Current APY at snapshot
total_payments_received	float	USDC received that month
liquid_balance	float	80% portion, available for operations
yield_deposit	float	20% portion, earning yield
yield_earned	float	Yield earned that month
protocol_fee	float	2% fee on yield
net_yield	float	Yield after fee
cumulative_value	float	Total agent treasury value
referral_level	int	0-3 (0 = no referrer)
referral_earnings	float	Fee share from downstream agents
yield_percentage	int	Agent's configured split (5-50%)
x402_payments	int	Number of x402-style machine payments

agent_profiles.csv

Column	Type	Description
agent_id	string	Unique agent identifier
agent_type	string	trading_bot, service_agent, payment_router, data_provider, infrastructure
registration_month	int	When the agent registered
referrer_id	string	Who referred this agent (null if none)
initial_deposit	float	First USDC deposit
yield_percentage	int	Configured yield split

Key Statistics

200 simulated agents over 12 months
5 agent types reflecting real-world use cases
APY range: 2-15% (matching real Aave/Morpho rates on Base)
3-level referral chain simulation
x402 payment frequency modeling

How Clicks Protocol Works

Agent receives USDC payment
Auto-split: 80% liquid, 20% to DeFi yield
YieldRouter picks best APY (Aave V3 or Morpho Blue)
Withdraw anytime, no lockup
2% fee on yield only, never on principal
3-level referral: 40% / 20% / 10% of protocol fee

Citation

@dataset{clicks_protocol_treasury_benchmark_2026,
  title={Agent Treasury Benchmark},
  author={Clicks Protocol},
  year={2026},
  url={https://huggingface.co/datasets/clicksprotocol/agent-treasury-benchmark}
}