Agent-managed vaults

Data current · 3 sources

Vaults run by software rather than by a human deciding case by case, inferred and evidenced.Note 10 Note 3

Showing the largest 300 of 467 open machine-managed vaults by capital. The rest are in the API.

Shown 300 Trades a book 246 Allocates deposits 54

All rows are machine-managed300 of 300 identified as machine-managedDownload CSV

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1	Gauntlet USDC Prime base0xeE8F4eC5…4b61	Morpho	Base	USDC	Gauntlet0x9E33faAE…0585	likely	no model declared	—	$433.15M	1.8%	0.0%	—	156d	4.29%of4.20%from 0.32% in 27d	consistent100	—	—	$5.72M	37%	B
2	Steakhouse USDT0xbEef047a…cfBa	Morpho	Ethereum	USDT	Steakhouse Financial0x827e8607…eCdB	likely	no model declared	—	$91.32M	1.7%	0.0%	—	192d	3.00%of3.18%from 0.24% in 29d	consistent100	—	—	$3.54M	53%	B
3	Steakhouse USDC ethereum0xBEEF0173…64CB	Morpho	Ethereum	USDC	Steakhouse Financial0x827e8607…eCdB	likely	no model declared	—	$74.44M	1.8%	0.0%	—	192d	3.68%of3.98%from 0.30% in 29d	consistent100	—	—	-$3.03M	53%	B
4	EVK Vault ePYUSD-60xba98fc35…83b5	Euler	Ethereum	PYUSD	0x9453…56850x9453ee26…5685	likely	no model declared	—	$74.35M	1.1%	0.0%	—	192d	no quote0.20% in 29d	consistent100	—	—	-$12.98M	53%	D
5	EVK Vault eUSDC-800xab2726da…2f30	Euler	Ethereum	USDC	0x9453…56850x9453ee26…5685	likely	no model declared	—	$71.72M	1.9%	0.0%	—	192d	no quote0.33% in 29d	consistent100	—	—	-$12.29M	53%	D
6	EVK Vault eRLUSD-70xaf537279…9bb2	Euler	Ethereum	RLUSD	0x9453…56850x9453ee26…5685	likely	no model declared	—	$62.91M	1.0%	0.0%	—	192d	no quote0.15% in 29d	consistent100	—	—	-$1.77M	53%	D
7	EVK Vault eUSDC-700x9bd52f28…2cbb	Euler	Ethereum	USDC	0x9453…56850x9453ee26…5685	likely	no model declared	—	$61.53M	1.7%	0.0%	—	192d	no quote0.25% in 29d	consistent100	—	—	-$2.28M	53%	D
8	HLP Liquidator 20xb0a55f13…9540	Hyperliquid	Hyperliquid	USDC	HLP0xdfc24b07…f303	likely	no model declared	—	$30.00M	388.0%	0.8%	—	1.3y	no series	erratic36	1	100%	$0.00	37%	B
9	Steakhouse ETH ethereum0xBEEf050e…8cD4	Morpho	Ethereum	WETH	Steakhouse Financial0x827e8607…eCdB	likely	no model declared	—	$29.99M	0.1%	0.0%	—	17d	1.78%of1.65%from 0.09% in 17d	consistent100	—	—	-$522.8k	5%	B
10	Gauntlet USDC Prime ethereum0xdd0f28e1…490d	Morpho	Ethereum	USDC	Gauntlet0x9E33faAE…0585	likely	no model declared	—	$28.48M	1.8%	0.0%	—	192d	3.83%of4.19%from 0.31% in 29d	consistent100	—	—	-$1.16M	53%	B
11	Smokehouse USDT0xA0804346…7484	Morpho	Ethereum	USDT	Steakhouse Financial0x827e8607…eCdB	likely	no model declared	—	$23.27M	2.0%	0.0%	—	192d	3.80%of3.95%from 0.31% in 29d	consistent100	—	—	-$145.6k	53%	B
12	Steakhouse Prime USDC base0xBEEFE94c…83b2	Morpho	Base	USDC	Steakhouse Financial0x827e8607…eCdB	likely	no model declared	—	$21.58M	1.1%	0.0%	—	100d	4.09%of3.99%from 0.33% in 29d	consistent100	—	—	-$206.13M	27%	B
13	[ Systemic Strategies ] L/S Grids0x07fd993f…689d	Hyperliquid	Hyperliquid	USDC	Systemic Strategies0x2b804617…6f4b	likely	no model declared	—	$18.04M	237.9%	28.7%	1.68	1.6y	no series	intermittent72	100+	5%	$12.27M	43%	B
14	drkmttr0xc179e039…e0c8	Hyperliquid	Hyperliquid	USDC	drkmttr0xf4f7cebb…239f	likely	no model declared	—	$16.05M	62.0%	8.6%	—	7d	no series	intermittent79	100+	28%	$5.64M	2%	B
15	Smokehouse USDC0xBEeFFF20…f5bC	Morpho	Ethereum	USDC	Steakhouse Financial0x827e8607…eCdB	likely	no model declared	—	$14.85M	2.6%	0.0%	—	192d	4.68%of4.74%from 0.38% in 29d	consistent100	—	—	-$3.87M	53%	B
16	Metronome msUSD Vault0x6859B34a…36c3	Morpho	Ethereum	msUSD	Gauntlet0x9E33faAE…0585	likely	no model declared	—	$14.43M	1.0%	0.0%	—	143d	0.95%of0.58%from 0.08% in 29d	consistent100	—	—	-$165.9k	39%	B
17	Vault Bridge WETH0x31A56849…24f9	Morpho	Ethereum	WETH	Gauntlet0x9E33faAE…0585	likely	no model declared	—	$12.68M	0.7%	0.0%	—	157d	1.56%of1.49%from 0.13% in 29d	consistent100	—	—	-$18.30M	43%	B
18	Vault Bridge USDC0xBEefb9f6…A9c4	Morpho	Ethereum	USDC	Steakhouse Financial0x827e8607…eCdB	likely	no model declared	—	$12.39M	1.4%	0.0%	—	150d	3.65%of3.98%from 0.29% in 29d	consistent100	—	—	-$5.05M	41%	B
19	Gauntlet USDT Frontier0x79FD6400…d702	Morpho	Ethereum	USDT	Gauntlet0x9E33faAE…0585	likely	no model declared	—	$11.29M	1.5%	0.0%	—	143d	3.98%of3.90%from 0.32% in 29d	consistent100	—	—	-$216.8k	39%	B
20	[ Systemic Strategies ] ♾️ HyperGrowth ♾️0xd6e56265…5b42	Hyperliquid	Hyperliquid	USDC	Systemic Strategies0x2b804617…6f4b	likely	Claude Opus	B	$9.88M	-2.2%	4.8%	—	7d	no series	intermittent69	100+	7%	$1.92M	2%	B
21	Yearn OG USDC ethereum0xF9bdDd4A…Ec49	Morpho	Ethereum	USDC	Yearn0x90D0f260…6B51	likely	no model declared	—	$9.46M	2.5%	0.0%	—	185d	5.55%of5.33%from 0.45% in 29d	consistent100	—	—	$2.37M	51%	B
22	Growi HF0x1e37a337…8d5e	Hyperliquid	Hyperliquid	USDC	Growi0x77894508…f60d	likely	no model declared	—	$9.42M	169.8%	12.3%	2.10	2.1y	no series	intermittent71	100+	6%	$2.26M	33%	B
23	Moonwell Flagship USDC0xc1256Ae5…A2Ca	Morpho	Base	USDC	Anthias Labs0x08eDEbFF…FC05	likely	no model declared	—	$9.27M	1.5%	0.0%	—	149d	3.64%of3.56%from 0.28% in 28d	consistent100	—	—	$358.3k	39%	B
24	Gauntlet WETH Prime0x2371e134…0618	Morpho	Ethereum	WETH	Gauntlet0x9E33faAE…0585	likely	no model declared	—	$9.04M	1.0%	0.0%	—	192d	1.75%of1.66%from 0.14% in 29d	consistent100	—	—	-$8.37M	53%	B
25	WETH ARM Vault0x3Dfe70B0…3b21	Morpho	Ethereum	WETH	—	likely	no model declared	—	$8.80M	1.0%	0.0%	—	192d	1.72%of1.50%from 0.14% in 29d	consistent100	—	—	-$2.38M	53%	B

1–25 of 300 vaultsShow

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Why the Model column is almost entirely empty

Because nobody says. Of the 632 vaults we track, not one names a model — not in its title, not in its operator’s name, nowhere we can read. The model is not on chain, no venue API carries it, and it cannot be inferred from execution timing the way autonomy can. A competition leaderboard can label every row because the competition assigned the model; we are looking at strangers’ vaults.

So there is exactly one way this ever gets filled in: the operator declares it and signs the declaration. That is what pre-registration is for, and this empty column is the honest measure of how far that has got. A badge here is solid only when it was signed; anything read off a name is faded and marked claimed, because a name is a claim by whoever typed it.

v1 identification uses platform membership and name signals. Behavioural inference — rebalance clock regularity, activity uniformity across the 24-hour cycle, reaction latency to market events — lands once execution-level data is ingested, and will raise confidence well above what a name can support.