The chart follows the alpha price in τ. Each period starts at its opening price and steps through the mechanisms below, in a fixed order, to its closing price: a step that rises pushed the price up, one that falls pushed it down, and its height is how far it moved the price. A thin line carries each close into the next period’s open; it is dashed where the two differ. The faint candle behind each period is the market’s own open, high, low and close, for context.

With many periods on screen (90 days, or hours), the steps would be too thin to read, so the chart draws the price as a line instead and colours each period by the mechanism that moved it most. Hover a period for the full step-by-step breakdown.

Protocol buy: The chain spending excess emission TAO to buy alpha from the pool. A permanent protocol buyback; it pushes the price up.
Root sell: Root-dividend claims sold into the pool; they push the price down.
User buy / sell: Staking into and unstaking from this subnet.
Cross-subnet: Swaps from other subnets routed through this pool.
Residual: What the decomposition cannot attribute to a mechanism. It is always shown, never folded into another part.

Not here, because they do not move the spot price: the per-block TAO injection into the pool, and burns.

All figures are log changes, not simple percentage changes, so the parts add up exactly to the total; on big moves the two differ (a 10% log fall is a 9.5% price fall).

Today so far

2026-11-10 UTC, as of ≈22:48 UTC (block 9,478,931)

Price, today so far: 0.006865 τ
Volume, today so far: 340.38 τ
Market cap incl. burned, today so far: 24.17K τ
TAO in pool, today so far: 19.37K τ
Emission share, today so far: —not available yet

The day isn’t over yet, so these figures keep changing. They are in no daily total, average or rank.

Subnet Configuration

Pool & Mechanism

AMM Pool

Balancer

Mechanism

dTAO

Access

Registration

Open

Neurons

256/256Competitive

Validators

7/6457 open

Economics

Owner Cut

18.00%

Weights

Commit-Reveal

Enabled (v3, 1 epochs)

Liquid Alpha

Disabled

Weights Version

Weights Range

1–65535

Timing

Tempo

360~1.2h

Immunity Period

10,800~1.5d

Activity Cutoff

5,000~16.7h

Market & Economics

Market

Market Cap

14.62K τ

FDV

43.54K τ

TVL

38.73K τ

Lifetime Volume

1.05M τ

Holders

2,024+0.45% 7d·+3.95% 30d

Circulating alpha

2,129,595.5736 λ

Owner Locked

46,180.4593 λ(2.17% of circulating)Perpetual

14d price

Holder & circulating-alpha metrics as of 2026-11-10 00:00 UTC (daily close)

Revenue / Recycle

No recycle

last day

Emissions

0.00%of network emissions

TAO emitted to this subnet

Sent into its pool each day: its share of network emissions

0.0000 τ/day

0 τ per day

Daily distribution

Alpha paid out each day, valued at the pool price

7,200.0000 λ/day

≈ 49.4316 τ·49.4316 τ per day

Miners43.96%

3,165.3132 λ ≈ 21.7314 τ/day

Validators38.04%

2,738.7198 λ ≈ 18.8027 τ/day

Owner18.00%

1,295.9670 λ ≈ 8.8975 τ/day

Stake 1,000 τ here

141.4141 λ/day≈ 0.9709 τ·0.9709 τ per day

From the validator share, before commission

51.48%staker APY

· 30d avg 51.48% · Stable

90d

Pool emits 1.0000 λ/block at 0.006865 τ/λ. Yield varies with stake weight, pool price, and emission rate.

For Miners

43.96% of emission

Slots

256/256Competitive

Burn Cost

0.0200 τ

Est. per Miner

—

Pool / Epoch

158.2657 λ≈ 1.0866 τ

For Validators & Stakers

38.04% of emission

Validator Slots

7/6457 open

Est. per Validator

19.5623 λ/epoch≈ 0.1343 τ

Registration Activity

Neuron registration trends

This Interval

24h: 0 registrations (0 burn · 0 PoW)

Target / Interval

Slots Available

Competitive

256/256

Neurons

256

Development Activity

trajectoryRL/trajectoryRLPython

231910 contributors8 commits/30dLast commit 2d ago

MIT

agent-skillsai-agentsbittensordecentralized-aipolicy-optimizationreinforcement-learningskill-factorysubnet

Top Contributors

What TrajectoryRL does

Organizations evaluating large language models face a coordination problem: which model should answer each request, under what conditions should models be combined, and how should those routing decisions be validated across independent evaluators? Traditional centralized benchmarking is expensive, non-repeatable, and vulnerable to gaming. A decentralized network of independent validators can evaluate routing policies (fusion policies) against a shared set of verifiable tasks, run them on deterministic hardware, score them programmatically, and reach consensus on the best performer — but only if the network has strong economic incentives for honest evaluation and mechanisms to prevent copying and shortcutting.

Bittensor Subnet 11 (TrajectoryRL) implements this as a continuous competition where miners submit fusion policies — programs that decide which open-weight models on the Engy catalog answer each request, in what combination (routing, escalation, ensemble, adviser patterns), and what they receive as input.

Validators independently evaluate each policy against 20 fixed scenarios by running agents in sandboxed Docker containers, scoring them on test pass rates with a safety cap, and submitting signed scores to a platform server. The server aggregates scores using a Winsorized mean (resistant to outliers), applies winner protection (a challenger must score at least 3% higher than the incumbent to displace it, decaying as scores approach the maximum), and updates a canonical seated winner. Validators read this winner from a public API, recompute the aggregation locally as a divergence cross-check, and call set_weights on-chain. The design makes the consensus publicly auditable — all per-validator votes and aggregation inputs are published, so any participant can replay the computation and detect server misbehavior.

Auto-generated from the GitHub repository and may not reflect the latest changes.

About

active

TrajectoryRL (Subnet 11) is a Bittensor subnet that runs a continuous competition where miners submit fusion policies (programs that route requests to open-weight LLMs on Engy) and validators evaluate them in sandboxed environments against hidden tests. The best policy wins a seat and is served as Engy's auto mode; scoring is based on test pass rates across 20 scenarios with a $0.30 per-scenario safety cap.

How it works

The subnet comprises miners, validators, and a centralized platform server. Miners submit fusion policies (programs routing to Engy LLMs) via web API. The server runs pre-eval checks and queues passing submissions.

For each challenge epoch, the server dispatches exactly one challenger to all validators via GET /api/v2/epoch/current. Each validator independently fetches the pack, runs a 600-second evaluation (agent + verifier) inside a Docker scenario container with a policy sidecar, and POSTs a signed score. The server aggregates scores (Winsorized mean from SPEC 16), applies Winner Protection δ(s) and seat-decay handicap, and updates winner_state.

Validators poll GET /api/v2/winner/current to read the canonical seated winner, recompute the aggregation locally as a cross-check, and call set_weights every Bittensor tempo. On-chain YC3 with Liquid Alpha aggregates validator weights. No validator-to-validator communication; consensus is fully server-coordinated and publicly auditable.

Incentive mechanism

Miners submit fusion policies (programs that choose which Engy LLM models to call per request) alongside their SKILL.md. Validators evaluate the active challenger against 20 scenarios, scoring based on test pass rates summed across scenarios. Consensus is Winsorized mean (clip single highest+lowest) from SPEC 16 onward; plain mean before.

Winner Protection applies score-dependent margin δ(s) = 3% for normal scores, decaying linearly to 0% as score/max approaches 1.0. Seat decay applies time-decay: first 5 epochs full protection, then linear decay to -3% handicap by epoch 40 (~3 days), making old seats increasingly easy to take. Dual-eval (evaluating both challenger and seated winner) is reserved for future implementation.

Validators always set weights every Bittensor tempo; when no seat exists, weight is burned to the subnet owner UID.

The sections above were auto-generated from the GitHub repository and may not reflect the latest changes. View repository (github.com, opens in a new tab, external site)

On-Chain Identitysigned on-chain by subnet owner

TrajectoryRL

Lamda · Greek letter · pronounced “lamda”

Agentic RL as a Service, Optimize agent trajectories to make agents cheaper, safer, and more reliable.

Owner: 5D2Jh…P3uE
Hotkey: 5ECzc…yrMS
Owner Cut: 18.00%
Contact: [email protected]

Registered: 2y 6mo ago(May 9, 2024)
Block: 2,918,568
Slot history: Every subnet in SN11
Neurons: 256/256
Tempo: 360 blocks

Website

URL: https://trajrl.com/ (trajrl.com, opens in a new tab, external site)
Status: Up200
TLS: Valid
Title: TrajectoryRL | Bittensor Subnet 11
Checked: 2026-11-10 04:06 UTC

Domain registered after this subnet started · Feb 3, 2026

Changes (3)

2026-11-01 04:06 UTCUp200TrajectoryRL | Bittensor Subnet 11
2026-10-23 04:06 UTCUp200TrajectoryRL | Bittensor Subnet 11
2026-10-13 08:03 UTCUp200TrajectoryRL | Bittensor Subnet 11

Subnet History

SubnetIdentitySet 2026-02-04 06:03 UTC

Block 7,468,307Extrinsic

SubnetIdentitySet 2026-02-03 19:50 UTC

Block 7,465,240Extrinsic

SubnetIdentitySet 2025-08-06 15:54 UTC

Block 6,161,768Extrinsic

SubnetIdentitySet 2025-05-05 14:24 UTC

Block 5,501,355Extrinsic

SubnetIdentitySet 2025-03-07 18:51 UTC

Block 5,077,888Extrinsic

Recent Activity

SubnetIdentitySet Block 7,468,307 Extrinsic2026-02-04 06:03 UTC
SubnetIdentitySet Block 7,465,240 Extrinsic2026-02-03 19:50 UTC
SubnetIdentitySet Block 6,161,768 Extrinsic2025-08-06 15:54 UTC
SubnetIdentitySet Block 5,501,355 Extrinsic2025-05-05 14:24 UTC
SubnetIdentitySet Block 5,077,888 Extrinsic2025-03-07 18:51 UTC

This information was auto-extracted from the GitHub repository and may be incomplete or out of date. Always refer to the subnet's GitHub repository (github.com, opens in a new tab, external site) for the latest instructions.

Hardware Requirements

Miner

GPU—

Not yet verified: Network, Notes

Validator

Storage10 GB

Not yet verified: GPU, Notes

Machine-extracted from the subnet's repository docs; may be wrong or out of date. Check the repository before buying or renting hardware. Open the repository (github.com, opens in a new tab, external site) · Extracted 2 Nov 2026

Miner Setup

Install TrajectoryRL package from source

pip install -e .

Clone the TrajectoryRL repository

git clone https://github.com/trajectoryRL/trajectoryRL.git && cd trajectoryRL

Create a Bittensor wallet

btcli wallet create --wallet.name miner --wallet.hotkey default

btcli subnet register --netuid 11 --wallet.name miner

Write or edit your SKILL.md file (instructions for the agent)(optional)

vim SKILL.md

Build a pack from SKILL.md and optional fusion policy directory

trajectoryrl-miner build SKILL.md --policy ./my_policy -o pack.json

Validate the pack locally before submission

trajectoryrl-miner validate pack.json

Test evaluation locally with exact validator code (requires Engy API key and Docker)(optional)

LLM_API_KEY=$ENGY_API_KEY python scripts/eval_pack.py --pack pack.json -o ./out

Submit pack to the platform (web-only channel, signed with hotkey)

trajectoryrl-miner web-submit pack.json

Validator Setup

Install Bittensor CLI tools

pip install bittensor-cli

Create a validator wallet

btcli wallet create --wallet-name my-validator

btcli subnets register --wallet-name my-validator --hotkey default --netuid 11

Stake at least the validator permit threshold (typically ~100 TAO)

btcli stake add --wallet-name my-validator --hotkey default --netuid 11 --amount 100

Copy example environment configuration

cp .env.validator.example .env.validator

Configure wallet name and LLM API key in .env.validator

# Edit .env.validator — set WALLET_NAME and LLM_API_KEY (for EVAL_ENABLED=1)

Start the validator daemon in Docker (runs weight-only by default)

docker compose -f docker/docker-compose.validator.yml --env-file .env.validator up -d

Monitor validator logs(optional)

docker compose -f docker/docker-compose.validator.yml logs -f validator

Enable evaluation mode (optional, requires LLM API key and Docker)(optional)

# Set EVAL_ENABLED=1 in .env.validator to also evaluate challengers

No hardware? Back this subnet by staking instead New to mining? Start with the setup guide Validator setup guide

Day (UTC)

2026-11-09

0.00%

2026-11-08

0.15%

2026-11-07

0.32%

2026-11-06

0.31%

2026-11-05

0.27%

2026-11-04

0.27%

2026-11-03

0.29%

2026-11-02

0.30%

2026-11-01

0.32%

2026-10-31

0.33%

2026-10-30

0.39%

2026-10-29

0.39%

2026-10-28

0.37%

2026-10-27

0.37%

2026-10-26

0.36%

2026-10-25

0.36%

2026-10-24

0.33%

2026-10-23

0.32%

2026-10-22

0.34%

2026-10-21

0.33%

2026-10-20

0.34%

2026-10-19

0.33%

2026-10-18

0.34%

2026-10-17

0.35%

2026-10-16

0.37%

2026-10-15

0.40%

2026-10-14

0.47%

2026-10-13

0.48%

2026-10-12

0.47%

2026-10-11

0.47%

2026-10-10

0.47%

2026-10-09

0.47%

2026-10-08

0.47%

2026-10-07

0.47%

2026-10-06

0.50%

2026-10-05

0.49%

2026-10-04

0.46%

2026-10-03

0.49%

2026-10-02

0.51%

2026-10-01

0.47%

2026-09-30

0.53%

2026-09-29

0.47%

2026-09-28

0.47%

2026-09-27

0.48%

2026-09-26

0.59%

2026-09-25

0.53%

2026-09-24

0.48%

2026-09-23

0.50%

2026-09-22

0.55%

2026-09-21

0.57%

2026-09-20

0.47%

2026-09-19

0.58%

2026-09-18

0.58%

2026-09-17

0.61%

2026-09-16

0.62%

2026-09-15

0.60%

2026-09-14

0.63%

2026-09-13

0.66%

2026-09-12

0.67%

2026-09-11

0.66%

2026-09-10

0.66%

2026-09-09

0.75%

2026-09-08

0.81%

2026-09-07

0.79%

2026-09-06

0.70%

2026-09-05

0.65%

2026-09-04

0.61%

2026-09-03

0.61%

2026-09-02

0.55%

2026-09-01

0.45%

2026-08-31

0.48%

2026-08-30

0.50%

2026-08-29

0.51%

2026-08-28

0.54%

2026-08-27

0.49%

2026-08-26

0.41%

2026-08-25

0.41%

2026-08-24

0.39%

2026-08-23

0.37%

2026-08-22

0.42%

2026-08-21

0.46%

2026-08-20

0.46%

2026-08-19

0.48%

2026-08-18

0.48%

2026-08-17

0.49%

2026-08-16

0.44%

2026-08-15

0.45%

2026-08-14

0.46%

2026-08-13

0.45%

2026-08-12

0.49%

What moved the price

Overview

Today so far

Subnet Configuration

Market & Economics

For Miners

For Validators & Stakers

Registration Activity

Development Activity

What TrajectoryRL does

About

Website

Subnet History

Recent Activity

Participate

Hardware Requirements

Miner Setup

Validator Setup

What moved the price

Today so far

Subnet Configuration

Market & Economics

For Miners

For Validators & Stakers

What TrajectoryRL does

About

Website

Subnet History

Hardware Requirements

Miner Setup

Validator Setup