⌘K

Live evidencecounted just now

0.50days of MEME volume to unwind the crowd99%of the XMR book on one side, across 30 vaults$1.30Bunder one key with no guardian, 52 of the 424 vaults whose control we have read$334.2Mwhose control we have never read, across 3,230 vaults$1.95Bsitting in vaults and not lent out$11.27Bunder 3,654 vaults we read$4.79Bin 323 vaults where we saw automated execution, nothing declared2,080vaults declared or on a venue built to run software, holding $1.01M324software-run vaults scored, 13% of them450operators identified behind them26networks where we read capital, from Ethereum to Cardano31,361,886deposits and withdrawals read from chain5changes recorded in the last day594,038ERC-8004 agent registrations read−0.57/ 30 days364,225distinct owners behind those registrations200,313registrations carrying a readable card, 34%3,337,008paid requests on the Olas rail (deliveries are counted apart)−0.66/ 30 days87suppliers delivering that work411,027agent-to-agent jobs read on Base+0.04/ 30 days$1.0Msettled between agents, all time1,175suppliers listed on the ACP rail189agents live on Cardano76Cardano agents deregistered, 29% of all ever minted29,141escrows between Cardano agents since Jun 2025, 142 still open78%of every agent payment we read comes from 2,571 addresses that never stop307,376addresses paid once and never came back, of 494,774 that ever paid934of those payers are an agent we can name, 0.189% of them635agent hosts answered when we asked, of 2,532 probed17,125agents sit behind a host that answers nothing at all404msmedian answer from the 635 hosts that answer44%of all agent ratings were written by ten addresses, of 671,178 ratings read29,502rated agents have exactly one rater, of 47,110 rated at all86,979service endpoints declared across 33,840 agent cards we read0.50days of MEME volume to unwind the crowd99%of the XMR book on one side, across 30 vaults$1.30Bunder one key with no guardian, 52 of the 424 vaults whose control we have read$334.2Mwhose control we have never read, across 3,230 vaults$1.95Bsitting in vaults and not lent out$11.27Bunder 3,654 vaults we read$4.79Bin 323 vaults where we saw automated execution, nothing declared2,080vaults declared or on a venue built to run software, holding $1.01M324software-run vaults scored, 13% of them450operators identified behind them26networks where we read capital, from Ethereum to Cardano31,361,886deposits and withdrawals read from chain5changes recorded in the last day594,038ERC-8004 agent registrations read−0.57/ 30 days364,225distinct owners behind those registrations200,313registrations carrying a readable card, 34%3,337,008paid requests on the Olas rail (deliveries are counted apart)−0.66/ 30 days87suppliers delivering that work411,027agent-to-agent jobs read on Base+0.04/ 30 days$1.0Msettled between agents, all time1,175suppliers listed on the ACP rail189agents live on Cardano76Cardano agents deregistered, 29% of all ever minted29,141escrows between Cardano agents since Jun 2025, 142 still open78%of every agent payment we read comes from 2,571 addresses that never stop307,376addresses paid once and never came back, of 494,774 that ever paid934of those payers are an agent we can name, 0.189% of them635agent hosts answered when we asked, of 2,532 probed17,125agents sit behind a host that answers nothing at all404msmedian answer from the 635 hosts that answer44%of all agent ratings were written by ten addresses, of 671,178 ratings read29,502rated agents have exactly one rater, of 47,110 rated at all86,979service endpoints declared across 33,840 agent cards we read

Agent-managed vaults

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

How each one was judged

87% of these vaults are declared by the venue. Most of the money is not: 100% of it sits under vaults observed in execution, which is 13% of the vaults.

by vault2,403 in all

by capital$4.79B in all

observed in execution323 · $4.79B
declared by the venue2,080 · $1.01M

Showing the largest 300 of 2,403 open machine-managed vaults by capital. The rest are on a plan, or in the API.

Shown 300 Trades a book 128 Allocates deposits 172

Finding

797

agent-managed vaults read

363

of them moved nothing

$4.37M

capital in those

498

other vaults read

274

of them moved nothing

$2.38B

capital in those

read for under 7 days, so not yet observable

read on chain over 30 days typically, the shortest under a day · 1,295 of 3,203 vaults that carry an address

What these figures say

46% of the agent-managed vaults we have read moved nothing on their own account in the window, against 55% of the rest. Software-run vaults are the busier half, which is the answer that makes the classification worth having. The other way round and it would be describing a label.

How this is counted

A transfer is not a trade. This counts transactions that moved assets on the vault’s own account , ones carrying neither a deposit nor a withdrawal, so it says the contract acted, not that it acted well, and a vault whose strategy lives entirely inside a venue’s own books can be perfectly busy and silent here.

It is also a SAMPLE and not the population. The sweep reads a batch of vaults per network per run, so coverage climbs over days; the vaults in it are whichever the cursor has reached, which is neither the largest nor the newest. A vault we have not reached carries no reading rather than a quiet one.

All rows are machine-managed128 of 128 identified as machine-managed

Download CSV, part of Analyst

#																Earning from
1	HLP Liquidator 20xb0a55f13…9540	Hyperliquid	Hyperliquid	USDC	HLP0xdfc24b07…f303	likely	no model declared	—	$30.00M	388.0%387.9% at scale	0.8%	25.41	116%	1,541%	20.0×	—	1.5y	flat0.00% in 29d	erratic47	—	1	100%	$0.00	40%	B
2	Growi HF0x1e37a337…8d5e	Hyperliquid	Hyperliquid	USDC	Growi0x77894508…f60d	likely	no model declared	—	$13.51M	179.3%67.6% at scale	12.3%	1.87	23%	15,399%	12.2×	trading	2.2y	too new	consistent94	—	100+	5%	$1.88M	34%	B
3	[ Systemic Strategies ] L/S Grids0x07fd993f…689d	Hyperliquid	Hyperliquid	USDC	Systemic Strategies0x2b804617…6f4b	likely	no model declared	—	$9.96M	165.7%45.9% at scale	28.7%	1.34	55%	626%	9.3×	losing	1.7y	implausible-11.09% in 28d	consistent94	—	100+	7%	-$3.36M	45%	B
4	drkmttr0xc179e039…e0c8	Hyperliquid	Hyperliquid	USDC	drkmttr0xf4f7cebb…239f	likely	no model declared	—	$8.45M	—	—	—	—	73%	4.6×	trading	303d	implausible-91.52% in 29d	consistent94	—	100+	36%	-$534.8k	26%	B
5	[ Systemic Strategies ] ♾️ HyperGrowth ♾️0xd6e56265…5b42	Hyperliquid	Hyperliquid	USDC	Systemic Strategies0x2b804617…6f4b	likely	Claude Opus	B	$6.26M	197.8%never at scale	40.4%	2.57	111%	2,224%	8.0×	trading	1.1y	implausible-8.57% in 27d	consistent90	—	100+	10%	-$3.59M	31%	B
6	BredoStrategy0x654016a8…f7b7	Hyperliquid	Hyperliquid	USDC	BredoStrategy0xf5f569a7…0336	likely	no model declared	—	$5.79M	170.2%140.3% at scale	60.4%	1.95	145%	24%	4.8×	trading	233d	implausible50.38% in 29d	consistent94	—	100+	9%	$330.8k	21%	B
7	HLP Strategy A0x010461c1…703a	Hyperliquid	Hyperliquid	USDC	HLP0xdfc24b07…f303	likely	no model declared	—	$3.19M	99.1%120.7% at scale	88.6%	0.98	104%	5,138%	20.0×	trading	3.4y	too new	consistent93	—	1	100%	$0.00	53%	B
8	HLP Strategy B0x31ca8395…974b	Hyperliquid	Hyperliquid	USDC	HLP0xdfc24b07…f303	likely	no model declared	—	$3.00M	—	—	—	—	4,428%	20.0×	losing	3.4y	implausible-8.90% in 29d	consistent93	—	1	100%	$245.3k	52%	B
9	EVK Vault eWETH-2 ethereum0xd8b27cf3…84c2	Euler	Ethereum	WETH	0x060d…fea30x060db084…fea3	likely	no model declared	—	$2.51M	0.2%never at scale	0.0%	—	<0.1%	—	—	—	51d	no quote0.10% in 30d	consistent87	Alone	346	—	-$46.7k	14%	D
10	FC Genesis - Quantum0xa6a34f0b…5e40	Hyperliquid	Hyperliquid	USDC	FC Genesis0x3d32e286…cfec	likely	no model declared	—	$2.25M	-23.4%-13.1% at scale	24.2%	-1.23	14%	100%	1.0×	trading	1.1y	rewards unread3.21% in 27d	intermittent84	—	75	43%	$48.5k	30%	B
11	EVK Vault eUSDC-2 ethereum0x797dd806…48a9	Euler	Ethereum	USDC	0x060d…fea30x060db084…fea3	likely	no model declared	—	$2.22M	1.3%never at scale	0.0%	—	0.2%	—	—	—	51d	no quote0.81% in 30d	consistent87	Alone	570	—	$111.8k	14%	D
12	Enjoyooor V30x7178cc2d…0854	Hyperliquid	Hyperliquid	USDC	Enjoyooor0x83046ec0…42b9	likely	no model declared	—	$2.05M	99.7%50.1% at scale	49.7%	1.77	139%	62%	9.7×	trading	170d	rewards unread24.36% in 30d	intermittent78	—	17	20%	$163.2k	19%	B
13	Black Ops0x49a64893…77ae	Hyperliquid	Hyperliquid	USDC	Black Ops0x970ed103…943c	likely	no model declared	—	$1.58M	8.8%20.6% at scale	25.9%	0.45	42%	56%	3.0×	trading	275d	rewards unread9.36% in 29d	consistent89	—	100+	17%	$40.9k	24%	B
14	Hyperrr0xca230e81…e9e0	Hyperliquid	Hyperliquid	USDC	Hyperrr0x76184c92…c96e	likely	no model declared	—	$1.44M	—	—	—	—	49%	4.4×	trading	1.8y	rewards unread17.75% in 29d	consistent93	—	122	27%	-$462.2k	48%	B
15	Orbit Value Strategies0x115849ce…1aa5	Hyperliquid	Hyperliquid	USDC	Orbit Value0xf292b42e…9edf	likely	no model declared	—	$1.36M	-12.0%-5.8% at scale	20.2%	-0.47	23%	563%	14.3×	losing	296d	rewards unread2.97% in 29d	intermittent63	—	100+	5%	-$300.2k	25%	B
16	EVK Vault eUSDC-700x9bd52f28…2cbb	Euler	Ethereum	USDC	0x060d…fea30x060db084…fea3	likely	no model declared	—	$1.23M	0.6%never at scale	0.0%	—	0.2%	—	—	—	51d	no quote0.42% in 30d	consistent87	Alone	59	—	-$1.09M	14%	D
17	Jade Lotus Capital0xbc5bf88f…7fdc	Hyperliquid	Hyperliquid	USDC	Jade Lotus Capital0x10cd85d0…e171	likely	no model declared	—	$1.15M	1,028.5%3.4% at scale	37.1%	5.45	173%	244%	12.8×	trading	1.4y	implausible33.07% in 30d	intermittent78	—	100+	77%	$56.0k	38%	B
18	AIQuantPulse0x8231fdf9…1dcb	Hyperliquid	Hyperliquid	USDC	AIQuantPulse0xcbdf15e1…b4b3	likely	no model declared	—	$1.09M	7.4%-3.1% at scale	10.7%	0.48	13%	20%	9.0×	trading	247d	rewards unread1.47% in 29d	consistent94	—	100+	14%	-$341.0k	22%	B
19	Brob0x7491180d…d90f	Hyperliquid	Hyperliquid	USDC	Brob0xc8e006b0…8f23	likely	no model declared	—	$1.07M	331.8%0.7% at scale	93.4%	3.70	375%	—	4.5×	trading	205d	implausible94.96% in 30d	intermittent81	—	100+	15%	$248.2k	20%	B
20	Ultron0x45e7014f…5e73	Hyperliquid	Hyperliquid	USDC	Ultron0x8d3f2ecf…c056	likely	no model declared	—	$1.01M	555.2%-18.7% at scale	25.6%	12.75	508%	56%	3.0×	trading	310d	rewards unread9.44% in 28d	intermittent79	—	100+	26%	-$17.6k	25%	B
21	AceVault Hyper010x9e02aca9…73df	Hyperliquid	Hyperliquid	USDC	AceVault Hyper010x36752718…49da	likely	no model declared	—	$924.2k	34.8%6.9% at scale	22.2%	1.14	31%	4,247%	4.9×	losing	1.1y	implausible-15.22% in 30d	consistent91	—	100+	5%	$417.5k	32%	B
22	AILAB TEST ULTRA0x780825f3…6e70	Hyperliquid	Hyperliquid	USDC	AILAB TEST ULTRA0x4692441b…737b	likely	no model declared	—	$855.2k	—	—	—	—	—	10.0×	trading	282d	implausible-50.63% in 29d	intermittent76	—	64	6%	-$131.06	25%	B
23	Rhova - Market Maker defesa( hedge)0xaf35f2c8…0614	Hyperliquid	Hyperliquid	USDC	Rhova0x79dbea0b…5fea	likely	no model declared	—	$756.0k	-82.0%never at scale	88.1%	-0.76	129%	67%	40.0×	trading	338d	rewards unread3.51% in 29d	intermittent66	—	20	10%	$114.3k	27%	B
24	Elsewhere0x8fc7c044…b0f7	Hyperliquid	Hyperliquid	USDC	Elsewhere0xf5d0308a…b9eb	likely	no model declared	—	$753.1k	587.4%-38.8% at scale	93.3%	1.90	283%	1,019%	12.8×	trading	2.2y	too new	intermittent80	—	61	21%	$0.00	35%	B
25	Edge & Hedge0x060d01aa…3b04	Hyperliquid	Hyperliquid	USDC	Edge & Hedge0x42623454…af8c	likely	no model declared	—	$664.8k	12.0%-15.1% at scale	23.6%	0.51	41%	822%	8.9×	trading	303d	rewards unread-2.49% in 28d	intermittent83	—	100+	81%	-$15.5k	25%	B

1–25 of 128 vaultsShow

…

Why the Model column is almost entirely empty

Because nobody says. Of the 2,403 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.