Dataset Preview
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The dataset generation failed because of a cast error
Error code: DatasetGenerationCastError
Exception: DatasetGenerationCastError
Message: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 13 new columns ({'protocol_fee', 'referral_earnings', 'net_yield', 'month', 'referral_level', 'apy_percent', 'liquid_balance', 'x402_payments', 'total_payments_received', 'yield_deposit', 'yield_earned', 'yield_protocol', 'cumulative_value'}) and 4 missing columns ({'initial_deposit', 'agent_type', 'referrer_id', 'registration_month'}).
This happened while the csv dataset builder was generating data using
hf://datasets/clicksprotocol/agent-treasury-benchmark/agent_treasury_monthly.csv (at revision 898dfa96aab29ccd42532bafe8a7fa4dd2975364), [/tmp/hf-datasets-cache/medium/datasets/50870754018916-config-parquet-and-info-clicksprotocol-agent-trea-44ee711c/hub/datasets--clicksprotocol--agent-treasury-benchmark/snapshots/898dfa96aab29ccd42532bafe8a7fa4dd2975364/agent_profiles.csv (origin=hf://datasets/clicksprotocol/agent-treasury-benchmark@898dfa96aab29ccd42532bafe8a7fa4dd2975364/agent_profiles.csv), /tmp/hf-datasets-cache/medium/datasets/50870754018916-config-parquet-and-info-clicksprotocol-agent-trea-44ee711c/hub/datasets--clicksprotocol--agent-treasury-benchmark/snapshots/898dfa96aab29ccd42532bafe8a7fa4dd2975364/agent_treasury_monthly.csv (origin=hf://datasets/clicksprotocol/agent-treasury-benchmark@898dfa96aab29ccd42532bafe8a7fa4dd2975364/agent_treasury_monthly.csv)]
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1890, in _prepare_split_single
writer.write_table(table)
File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 760, in write_table
pa_table = table_cast(pa_table, self._schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
agent_id: string
month: int64
yield_protocol: string
apy_percent: double
total_payments_received: double
liquid_balance: double
yield_deposit: double
yield_earned: double
protocol_fee: double
net_yield: double
cumulative_value: double
referral_level: int64
referral_earnings: double
yield_percentage: int64
x402_payments: int64
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2153
to
{'agent_id': Value('string'), 'agent_type': Value('string'), 'registration_month': Value('int64'), 'referrer_id': Value('string'), 'initial_deposit': Value('float64'), 'yield_percentage': Value('int64')}
because column names don't match
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1347, in compute_config_parquet_and_info_response
parquet_operations = convert_to_parquet(builder)
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 980, in convert_to_parquet
builder.download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
self._download_and_prepare(
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, in _prepare_split
for job_id, done, content in self._prepare_split_single(
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1892, in _prepare_split_single
raise DatasetGenerationCastError.from_cast_error(
datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
All the data files must have the same columns, but at some point there are 13 new columns ({'protocol_fee', 'referral_earnings', 'net_yield', 'month', 'referral_level', 'apy_percent', 'liquid_balance', 'x402_payments', 'total_payments_received', 'yield_deposit', 'yield_earned', 'yield_protocol', 'cumulative_value'}) and 4 missing columns ({'initial_deposit', 'agent_type', 'referrer_id', 'registration_month'}).
This happened while the csv dataset builder was generating data using
hf://datasets/clicksprotocol/agent-treasury-benchmark/agent_treasury_monthly.csv (at revision 898dfa96aab29ccd42532bafe8a7fa4dd2975364), [/tmp/hf-datasets-cache/medium/datasets/50870754018916-config-parquet-and-info-clicksprotocol-agent-trea-44ee711c/hub/datasets--clicksprotocol--agent-treasury-benchmark/snapshots/898dfa96aab29ccd42532bafe8a7fa4dd2975364/agent_profiles.csv (origin=hf://datasets/clicksprotocol/agent-treasury-benchmark@898dfa96aab29ccd42532bafe8a7fa4dd2975364/agent_profiles.csv), /tmp/hf-datasets-cache/medium/datasets/50870754018916-config-parquet-and-info-clicksprotocol-agent-trea-44ee711c/hub/datasets--clicksprotocol--agent-treasury-benchmark/snapshots/898dfa96aab29ccd42532bafe8a7fa4dd2975364/agent_treasury_monthly.csv (origin=hf://datasets/clicksprotocol/agent-treasury-benchmark@898dfa96aab29ccd42532bafe8a7fa4dd2975364/agent_treasury_monthly.csv)]
Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
agent_id string | agent_type string | registration_month int64 | referrer_id null | initial_deposit float64 | yield_percentage int64 |
|---|---|---|---|---|---|
0x9d79b1a37f31801cd11a6706fb40d6bd57526846 | trading_bot | 2 | null | 5,214.51 | 30 |
0xb3669cbd50e165e434249d8b829f411669842a97 | service_agent | 1 | null | 11,010.03 | 5 |
0xd1f65e8144e61d9ab30fcb06a6c1ad8f2906e732 | payment_router | 6 | null | 21,034.04 | 25 |
0x2a5dff72ac1dda96908137478bd536cf4b778ade | trading_bot | 2 | null | 21,188.46 | 30 |
0x899322473081cd277bcd1e3763ea0bf5ee5974c3 | trading_bot | 1 | null | 4,926.15 | 20 |
0x1364f5d8717b0d5803ca8d9aa6a3b7437ff59fce | trading_bot | 4 | null | 6,328.83 | 25 |
0xa18c1bec13a1e760e83f2c14f188528d41bb0d4b | data_provider | 5 | null | 18,145.59 | 50 |
0x2cd33931f0d15eb4d25dce119925bb0b998d48a9 | trading_bot | 3 | null | 42,780.35 | 5 |
0xb2dfd1ddd03adb19d7f34f613947294793b21274 | payment_router | 3 | null | 18,572.03 | 10 |
0xae40a235a49990ab85a85844fe7eaab34998c8ef | payment_router | 1 | null | 31,785.42 | 25 |
0x0764bd88d40da8bacbedab3eefbed42972af5676 | service_agent | 6 | null | 27,891.79 | 30 |
0x2fe142af7f310453a524c5d7cc32b0c439eea7c6 | trading_bot | 1 | null | 15,841.11 | 50 |
0xeea059e0cf3ac9b7d7ba8e506fb16e3615d4caa7 | service_agent | 6 | null | 7,229.29 | 20 |
0x686afa89bc084343064c3cbf796da795c7d6ad6d | data_provider | 4 | null | 11,044.11 | 15 |
0xa8507082df0d577ed8d645178af07ac195d10f0c | data_provider | 2 | null | 8,083.1 | 30 |
0x3443ae98105a4310451c806222cdb161c9248c98 | infrastructure | 5 | null | 48,556.81 | 15 |
0x906bf002a70d27aeb93981b84b43531d179284ae | data_provider | 3 | null | 32,083.99 | 50 |
0xa33c277459afd400cc472df47206dbb8ede537e0 | payment_router | 5 | null | 9,014.73 | 50 |
0x164edade6eac13a0a8e0664c77a477d7a73192a3 | service_agent | 2 | null | 18,758.3 | 10 |
0xb46e54993be4fb528543157d826dfc04fb5ca31c | infrastructure | 3 | null | 2,990.47 | 10 |
0x76476bf2076c29146962ed15cf4b5ebbe1de697c | data_provider | 5 | null | 6,375.45 | 50 |
0xccac64f2b0edbf8cabc2452a43c0da4303a11587 | data_provider | 4 | null | 46,452.78 | 10 |
0x5c2a9bb0dfa27e33e6d283b69aa3cc4ffa5b2466 | infrastructure | 6 | null | 21,961.19 | 15 |
0xcfc385395c0064109bc68c565980620562669b96 | service_agent | 5 | null | 458.82 | 10 |
0xe059120fd4ed9b3ac6254111269bc9e7fbad0a08 | data_provider | 1 | null | 11,976.43 | 25 |
0x3a39d836333c0b8a6f30df212ba22db976dc7def | data_provider | 5 | null | 12,225.56 | 20 |
0x54bc25182b75d018fa17b3a8d35e596edf3eb35a | service_agent | 4 | null | 36,480.88 | 50 |
0x5040f2fb41096ca5eee93119ef4f840f3a301267 | payment_router | 1 | null | 9,660.34 | 10 |
0x7612f92e19bc4e4715cb6e76bf50f33fbf4fdedf | infrastructure | 4 | null | 43,081.32 | 50 |
0xd5f9d0ff81f8638a70e705d6a82bc703832310f8 | trading_bot | 2 | null | 20,380.06 | 10 |
0xf47e06e7d0ba020f88a8252ae361046127418d00 | infrastructure | 3 | null | 39,277.95 | 50 |
0x7d05d4fe8e618ac834d5468ee16570a9ca9ae9b7 | service_agent | 2 | null | 10,963.27 | 15 |
0x4bea9a0f9b537bbfba6748502b62a20ec220d60c | service_agent | 5 | null | 26,603.19 | 50 |
0x299d8a118138549810e26511ccbadaacec2ea0dc | trading_bot | 1 | null | 12,386.15 | 25 |
0x929b49a80c8c6b9533b6b2909516d5853f9dfd50 | infrastructure | 2 | null | 35,837.97 | 30 |
0xfce3f3ab288a3fa5c29bcc4c75ab0c750afdf050 | infrastructure | 1 | null | 22,968.45 | 5 |
0x4d2d00ff155f9819e036c1128b68a289eb479136 | service_agent | 2 | null | 44,055.12 | 15 |
0xd253995e12eff448b818622820dd2c70324f70d5 | service_agent | 3 | null | 49,194.28 | 25 |
0x4fa86887f0b100023115f9aa9abc2dd1566afa8d | trading_bot | 6 | null | 46,952.61 | 5 |
0x1b050fbe9710a08d2a6fcb27d99cb845db2d2148 | payment_router | 6 | null | 10,259.51 | 15 |
0xe6729443f17c6281606c107d717b4940c721c4e7 | data_provider | 1 | null | 31,750.79 | 5 |
0x2d45490bce5ee80016f66355cd1168c5a0657d21 | payment_router | 3 | null | 37,087.42 | 10 |
0xa6b6790248c4a31c612e4313a3dbeef1b04213e2 | payment_router | 2 | null | 1,897.8 | 25 |
0x9780066e0245a020de4bb50ae704ea4e2acd595d | data_provider | 1 | null | 10,582.82 | 15 |
0xbcb2b5c7b786548fdca656e2432ceddf3f590868 | infrastructure | 6 | null | 46,295.61 | 10 |
0x107ea4e16f208c693a6658069394ea2d297d8fbc | infrastructure | 4 | null | 33,528.37 | 50 |
0x62e3873f0b614d449130c1283f6091c9a4f786b3 | trading_bot | 1 | null | 23,587.43 | 50 |
0x1afd204e17ac0ed226c39bcbcb060fdfbab2433a | trading_bot | 6 | null | 19,983.45 | 10 |
0x71b6e459b52538a40b6968829e5251662de6f4ad | infrastructure | 5 | null | 46,967.93 | 15 |
0x5d87a19417a668f67af8c9fb859af5434239cb09 | trading_bot | 4 | null | 36,454.4 | 15 |
0x59f69a1de32a9c6229f145e62d469b93ad00a930 | trading_bot | 6 | null | 184.39 | 20 |
0x6cfdd789a5ded5af74902cb86b15b5f0aa70f0bd | payment_router | 2 | null | 21,621.74 | 15 |
0x85a3b7eb4ffd8754e71c879f86c65c50e6c2d3a9 | data_provider | 6 | null | 25,405.41 | 15 |
0x04b9805336b6036726407cb2200fb04bfbf9ed8d | trading_bot | 4 | null | 47,024.15 | 30 |
0xa6431ee7440e8d2caf62929dd9e1b0911a0d0b4d | service_agent | 1 | null | 14,416.99 | 15 |
0xaac99aa7faec7e524977097764e3187169623171 | payment_router | 5 | null | 39,707.4 | 20 |
0x31f867bc25e5702b5871aaa80829b515d039a648 | service_agent | 6 | null | 16,825.89 | 25 |
0xc4964ac02f59203c40563cac65a6774fff0c8239 | data_provider | 2 | null | 2,406.06 | 5 |
0x77737c9cdd6888d9a9b7bbc4f0dea41264279674 | service_agent | 6 | null | 9,802.32 | 25 |
0x95808f7e63a64f66b4c3753e443cc725e96af3a7 | payment_router | 1 | null | 21,314.8 | 50 |
0xd6bdec76a41cdb0c7925b28e4675cb3f8550dfea | data_provider | 4 | null | 40,090.69 | 10 |
0x0485e6fc58ba158f25906f9852703a51a3cb35f3 | payment_router | 4 | null | 40,768.82 | 25 |
0xdce13e6d532ea0d4b9a127e81b56418ce6642772 | data_provider | 6 | null | 23,786.25 | 50 |
0x62e0fd46915d0cc4b9b215c793e77385d88c0e7c | payment_router | 3 | null | 3,966.42 | 20 |
0x647cd8511d689de4876a478acbbca014877b6c23 | trading_bot | 4 | null | 7,724.98 | 30 |
0x82a4b4545b90e88abad046772f2e706a5ca5f00f | trading_bot | 4 | null | 45,251.44 | 20 |
0xb4a6606106581b7ac4678201708457f17cdd0c5a | trading_bot | 4 | null | 44,592.91 | 50 |
0xabd2c889df2f5dbf52fa10bca153cf8b0329c4cc | payment_router | 2 | null | 11,049.14 | 20 |
0xee950c56374d3bab133edcad360e53cc1f4c8167 | payment_router | 4 | null | 49,038.03 | 10 |
0x36fe7b90275abaa9ff28f006a1947d15be3d8ba4 | service_agent | 4 | null | 2,609.2 | 10 |
0xb92aac539f6f665635f3dfc2171630e1646a0e61 | trading_bot | 4 | null | 41,762.05 | 15 |
0x85f5f9ff5b02b1f343009759a79f6639f7d76fa6 | trading_bot | 6 | null | 37,736.24 | 5 |
0x354d0933b8b3d7d6f69f37058dda0f9f8b870227 | trading_bot | 4 | null | 5,808.03 | 30 |
0x98770c77f02210b3df2f99411d6f53c407ea6f5e | trading_bot | 5 | null | 35,946.03 | 30 |
0x498eec29ccf0f7f6263fa04f155cac1bd5ae2494 | trading_bot | 3 | null | 33,899.63 | 25 |
0x23258b65853704f120340bb789bdc53246817413 | service_agent | 6 | null | 5,184.88 | 10 |
0x58d1acd9b4992baf5093b499af1437cee976fd1e | payment_router | 5 | null | 2,149.35 | 50 |
0x76a586810c65c5a52ced5a57ce2b3d03cdc97dd9 | service_agent | 4 | null | 21,732.82 | 5 |
0x8e6d2a27ea157c6fc94f172d4202dabbd2319185 | infrastructure | 3 | null | 40,429.14 | 25 |
0x4fcf816fb65763d3a38824bba86aac97f791b544 | trading_bot | 2 | null | 46,737.63 | 50 |
0xbf361fc05522f77696aae191d5b23e9c4e660eab | service_agent | 1 | null | 42,562.55 | 20 |
0xdebd3ecc3b62234246722057c9b2974766a65ce1 | service_agent | 3 | null | 606.54 | 25 |
0x27bbea159082c93d35d056b863ac0b681870137d | service_agent | 2 | null | 23,857.05 | 30 |
0x2d91bb7213a6fdcaf50d6a042e58d217e505534b | trading_bot | 6 | null | 15,379.68 | 10 |
0xf57fea87027c00585dd1ed6c5f3d23ffe69ff5be | service_agent | 3 | null | 22,741.89 | 30 |
0x1f17a6b841344d3106c0c750bc239b1e0a742dbe | service_agent | 6 | null | 9,657.89 | 10 |
0xfeadc84603677eb9d62aef96ecea02fa0cfc9cc2 | service_agent | 3 | null | 41,648.16 | 5 |
0xbd68614d253a9f030eb340b5d113bd88acbd6720 | trading_bot | 1 | null | 14,677.62 | 25 |
0xf66c4ba30a7953dee2fcb6c0f039aa7d0a2f431a | data_provider | 5 | null | 23,522.91 | 15 |
0x606ca2403b8be9f04ce099dcd4754c7a8ed0341d | data_provider | 4 | null | 3,796.7 | 20 |
0x0153b90dd394d7260bd03126cd01a7cf61411690 | infrastructure | 1 | null | 6,010.73 | 10 |
0x2ba2379bdac49b98a1fd6dca42aa509ecaa1c639 | payment_router | 4 | null | 45,434.37 | 20 |
0x45662d4e63b391918ba5fb9ed0406b0f72c5109c | infrastructure | 1 | null | 10,468.62 | 50 |
0xc0e43428e9cd673d790b7f2c275d4f8d9e733713 | trading_bot | 4 | null | 34,499.62 | 20 |
0xe73dc149b90efbb4323b60480dfef6b3cf2f0fdc | service_agent | 6 | null | 46,203.16 | 10 |
0x28cd03a04d73fc96a04a43a93ac3cccd7de504ef | trading_bot | 1 | null | 11,317.99 | 25 |
0x4eea47124f70440f68ea792aa7b4e9cac3a5bf4e | service_agent | 5 | null | 22,013.76 | 15 |
0x5ccc0a67e83a53f125edb145daf11e805e3b3c8a | service_agent | 1 | null | 2,089.05 | 25 |
0x6e1c1840f1149f06ed3261175eca9a3a41ce3ff6 | payment_router | 5 | null | 47,544.24 | 25 |
0x54a51aaca7a948d2aeacfe442bec84937f9f4c0a | payment_router | 2 | null | 25,996.3 | 20 |
End of preview.
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
Links
- Website
- SDK —
npm install @clicks-protocol/sdk - MCP Server —
npx @clicks-protocol/mcp-server - GitHub
- Treasury Simulator
- llms.txt
- OpenAPI
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}
}
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