Subnets / SN15
ORO SN15
ORO (subnet 15) is a Bittensor subnet held by 2,117 unique coldkeys. Its liquidity pool holds 13.7k τ, with the alpha token trading at 0.0184 τ. Roughly 26% of tracked holders are in profit. Seller exhaustion is elevated: 82% of recent sellers have emptied their wallets, thinning the supply overhang. Full insider flow, whale tracking and the complete proprietary factor set for ORO are available to SubnetStats subscribers.
ALPHA PRICE
0.0184 τ
IN TAO
HOLDERS
2,117
UNIQUE COLDKEYS
POOL DEPTH
13.7k τ
TAO IN POOL
7D MOMENTUM
+1.0%
ALPHA vs TAO
Project activity
The economic value of agents will soon come from running whole autonomous businesses, not just from finishing one-off tasks. When you run a business, the result of your own decisions arrive weeks later. You have to notice them, trace them to something you did, and act before they
We've been working hard behind the scenes and our excited to share our vision, thesis and progression. https://t.co/CwwWbBe97c
ORO changelog, Oct 18 to Nov 1:
- ORO Bench now tests agents in shops with their own products, tools and situations, with pass/fail task scoring
- New public practice world for local testing, graded the same way validators grade
- Validators need v3.0+, and SDK clients need oro-s
As models and harnesses get more capable, the depth of our RL environments needs to stay ahead of the curve.
See how, over the past month, we have gone from ShoppingBench - Alibaba Group (Wang et al., 2025) → ORO Bench → AssistantEval
Even better environments coming soon! https
We're excited to open source all the tasks and the traces that we have access to from this benchmark.
Link in 🧵
We're excited to drop AssistantEval today.
Replayable environments for evaluating and improving AI assistants.
We're going to be dropping Assistant Eval tomorrow.
More details coming, stay tuned. https://t.co/hJNIwVPBxu
Commerce is going to prove to be one of the largest opportunities in the agent world.
Trustworthy agents means open, incentivized and transparent agents that transact on users' behalf.
great article by @CrucibleLabs.
Let's make this future happen the right way.
Accelerating development at ORO
We're excited to announce ORO Bench today, a benchmark that's powered by a generator creating new synthetic shopping environments everyday.
This is now powering our subnet on Bittensor, SN15. https://t.co/iXQGhpjDnR
The team has been hard at work building ORO Bench and we're excited to share this with the world today.
Now powering SN15 on Bittensor. https://t.co/Uu1TdfGSK9
We're excited to announce that we're going to be joining Y Combinator in Fall 2026.
The team is super pumped to be working with @golda and co to continue on our journey of creating the best in class open source models for agentic commerce. https://t.co/WPklR3Cxeq
Measuring the quality of the long-horizon data is a huge part of solving the AI consumer shopping problem.
ORO-Distilled, a 4B model. 5x faster. 50x cheaper. https://t.co/SYWhHfWJPd
The ORO team has purchased 2500 Tao worth of SN15 alpha with the help of @CrucibleLabs. This will help us continue to deliver after the recent hack from the North Korean state actor group, Sapphire Sleet.
Up and onwards 🚀
Training an agent isn’t primarily a raw parameter or pre-training on a model problem anymore. It’s a trajectory problem.
You need multi-turn traces that show how an agent searches, uses tools, verifies constraints, recovers from dead ends, and eventually commits to an answer.
G
We've seen our fair share of uphill battles while building on Bittensor. But through it all, we've had 0 days of downtime.
We've ran a race to collect high quality agent trajectory data EVERY DAY since we launched on March 25th. How did we manage that?
Join @ironseth_s as he
https://t.co/cpapSrHxxN
Over the past several days, we've been working around the clock to understand the security incident that impacted the ORO subnet owner wallet on July 13th.
First, the most important thing: the subnet is fully operational. The breach was contained to only the SN15 owner wallet, w
In the past 101 days of being live, we have judged 2.5M+ agent trajectories. These are agent decisions that allow us to understand where the state of today's AI shopping is at.
We demonstrate the quality of this data with our own 4B post-train, with a climb from 18% to 42.7% on
Some big updates for the miners on ORO in the last 2 days. Daily on-chain rewards are now up to $20,000 USD per day for performing well on the ShoppingBench eval.
That means in the past 2 days, these 2 miners have earned just under $40,000 cumulatively, by scoring a 71.7%:
🥇 R
A few weeks ago we were on stage at Proof of Talk 2026, one of the biggest events in AI and Web3, held inside the Louvre.
We had 15 minutes in front of a room of founders and investors to make three points:
1. AI is already shopping on your behalf.
2. There's no open bench
A bite-sized explanation of what we are doing at ORO
489 million requests in 24 hours, ORO miners and users had 0 impact. Reliability and availability are pivotal for us to run a consistent competition that brings the best miners to our subnet.
We've talked a lot about how our efforts to train AI to shop will be entirely open source. Through Bittensor, we're committed to that ethos.
We're excited to share our pre-print on arXiv, our code, our data and our entire post-training pipeline.
Huge shoutout and thanks to @Jar
Our very own @shardiban is going live @proofoftalk to talk about ORO and everything we have built for the subnet so far - https://t.co/LwwAHI2Yw6
SELLERS DRAINED
82%
28D SELLERS EMPTIED OUT
CAPITULATION
-0.34
BOUNCE COMPOSITE (z)
HEAT 7D
0.33×
VOLUME ÷ POOL DEPTH
HOLDERS IN PROFIT
26%
TRACKED WALLETS · ENTRY BELOW PRICE
WHAT'S CARRYING THE PRICE · 30DPROPPEDemission rank #13 · above the bar (rank 32)
30D RETURN
-20.6%
ALPHA vs TAO
WITHOUT CHAIN BUYS
-37.1%
SAME 30 DAYS, PROTOCOL BID REMOVED
CHAIN SHARE OF BUYING
100%
CHAIN BUYS vs TRADERS' NET
CHAIN BUYS / DAY
47 τ
PROTOCOL BUYING ITS ALPHA
See who's buying and selling ORO — every trade classified miner / validator / owner / outsider, plus holder cost basis and the full 23-factor screener.
OPEN THE INSIDER TAPE →