Neuron registration trends
The alpha price in τ, day by day, and what moved it each way.
Log change over the last 30 days −3.26%: protocol buys 0.00%, root sells −1.60%, users net −0.17%, cross-subnet −1.49%, unattributed −0.0042%.
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.
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).
2026-11-04 UTC, as of ≈16:21 UTC (block 9,433,799)
The day isn’t over yet, so these figures keep changing. They are in no daily total, average or rank.
Organizations operating AI agents need reliable, cost-efficient access to multiple language model APIs across providers like OpenAI and Anthropic. Centralized procurement creates single points of failure, requires large upfront capital, and locks organizations into fixed pricing. A decentralized network of independent operators can supply and maintain this access more flexibly.
An incentivized, open network solves this by asking participants to contribute their own API credentials in exchange for rewards based on actual usage. The protocol backend uses those credentials to serve real calls, measures reliability (success rate), latency, output quality, and call volume per contributor, and reports those metrics back to a validator. The validator computes efficiency scores from reported usage alone—not speculation or prediction—and submits on-chain weights that directly tie emission to measured performance.
MASXAI implements this on Bittensor subnet 104.
Miners opt in by configuring between 5 and 5 LLM API keys (e.g., GPT-4o, Claude 3.5 Sonnet), encrypt each key client-side for the protocol's public key, and answer periodic asks from the validator. The validator relays encrypted submissions to the protocol backend and polls usage reports. Reported calls are scored by reliability (success rate), latency percentile, self-graded quality, and volume, weighted by model tier (GPT-4o and Claude 3.5 tier at 1.0×, cheaper models at 0.5–0.6×). A key confirmed dead or chronically unreliable is dropped immediately; its sibling keys in the same hotkey keep earning. On-chain weights are 95% burn (reserved) and 5% split among contributors proportional to their closed-epoch scores.
Auto-generated from the GitHub repository and may not reflect the latest changes.
MASXAI is a Bittensor subnet that sources real, working LLM API keys from miners and makes them available to an external protocol (BT Arena Protocol) for AI agent pipelines. Miners contribute between 5 and 5 distinct LLM API keys per submission, encrypted client-side; the validator relays submissions to the protocol backend and polls usage reports to compute efficiency-based scores (reliability, latency, quality, volume, model tier) that determine on-chain weights, with 95% reserved for burn and 5% split among miners by score.
The subnet connects miners (who contribute encrypted LLM keys), a validator (who relays submissions to and collects usage reports from the protocol backend), and the Bittensor chain (which receives weights). Miners encrypt keys client-side using NaCl SealedBox and the validator's published public key; the validator never holds the plaintext. The validator runs two async rounds: llm_key_submission_round (ask all miners, relay accepted submissions), and llm_key_report_poll_round (fetch usage rows, apply immediate kills for bad keys, track per-epoch accumulators).
When a new chain epoch begins, the collecting window closes, scores are recomputed from the closed epoch's rows alone, and weights are set via the template's BaseValidatorNeuron.set_weights(), which applies 95% burn before on-chain submission. Per-key state is tracked (alive/dead, provider/model, per-call success/failure/latency/quality) and persisted in validator_state.json to survive restarts.
Each chain epoch (tempo 360 blocks, ~72 min), emission pays for usage reported in the immediately preceding, completed epoch. Per-miner scoring is pooled across all live keys: composite score = 0.4×reliability + 0.2×quality + 0.2×latency_score + 0.2×volume_score, multiplied by the call-weighted average model tier. Hard floors: reliability must be ≥0.5 and measured quality ≥0.35 (if graded ≥3 calls).
Keys confirmed inactive, with fatal errors, or marked DEAD/REVOKED are killed and removed from both windows. A hotkey whose every key is dead scores 0. Only usage actually reported by the protocol counts; merely registering or answering asks earns nothing.
On-chain weight: burn UID 25 takes 95%, remaining 5% is L1-normalized and split by score proportional to all positive scores.
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)
Predictive Intelligence Layer for Bittensor
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.
I/O-bound (HTTP calls and lightweight encryption), not compute-bound
I/O-bound (HTTP calls and lightweight encryption), not compute-bound; requires protocol backend connectivity
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 5 Oct 2026
Clone the repository
git clone <this repo> && cd taostatus-subnet
Create and activate virtual environment
python -m venv .venv && source .venv/bin/activate
Install dependencies
pip install -r requirements.txt
Copy environment template
cp .env.example .env
Configure LLM key contribution in .env file
export MASXAI_LLM_KEY_CONTRIB_ENABLED=true && export MASXAI_LLM_KEY_CONTRIB_PROVIDER=openai && export MASXAI_LLM_KEY_CONTRIB_MODEL=gpt-4o-mini && export MASXAI_LLM_KEY_CONTRIB_API_KEY=sk-...
Run the miner
python neurons/miner.py --netuid 501 --subtensor.network test --wallet.name <wallet> --wallet.hotkey <hotkey>
Clone the repository
git clone <this repo> && cd taostatus-subnet
Create and activate virtual environment
python -m venv .venv && source .venv/bin/activate
Install dependencies
pip install -r requirements.txt
Copy environment template
cp .env.example .env
Configure protocol backend connection in .env
export MASXAI_LLM_KEY_BASE_URL=<protocol backend base URL> && export MASXAI_LLM_KEY_VALIDATOR_TOKEN=<validator credential>
Run the validator
python neurons/validator.py --netuid 501 --subtensor.network test --wallet.name <wallet> --wallet.hotkey <hotkey>
| Day (UTC) | Share |
|---|---|
| 2026-11-03 | 0.06% |
| 2026-11-02 | 0.06% |
| 2026-11-01 | 0.06% |
| 2026-10-31 | 0.06% |
| 2026-10-30 | 0.05% |
| 2026-10-29 | 0.05% |
| 2026-10-28 | 0.05% |
| 2026-10-27 | 0.05% |
| 2026-10-26 | 0.05% |
| 2026-10-25 | 0.05% |
| 2026-10-24 | 0.05% |
| 2026-10-23 | 0.05% |
| 2026-10-22 | 0.00% |
| 2026-10-21 | 0.00% |
| 2026-10-20 | 0.00% |
| 2026-10-19 | 0.00% |
| 2026-10-18 | 0.00% |
| 2026-10-17 | 0.00% |
| 2026-10-16 | 0.00% |
| 2026-10-15 | 0.00% |
| 2026-10-14 | 0.00% |
| 2026-10-13 | 0.00% |
| 2026-10-12 | 0.00% |
| 2026-10-11 | 0.00% |
| 2026-10-10 | 0.00% |
| 2026-10-09 | 0.00% |
| 2026-10-08 | 0.00% |
| 2026-10-07 | 0.00% |
| 2026-10-06 | 0.00% |
| 2026-10-05 | 0.00% |
| 2026-10-04 | 0.00% |
| 2026-10-03 | 0.00% |
| 2026-10-02 | 0.00% |
| 2026-10-01 | 0.00% |
| 2026-09-30 | 0.00% |
| 2026-09-29 | 0.00% |
| 2026-09-28 | 0.00% |
| 2026-09-27 | 0.00% |
| 2026-09-26 | 0.00% |
| 2026-09-25 | 0.00% |
| 2026-09-24 | 0.00% |
| 2026-09-23 | 0.00% |
| 2026-09-22 | 0.00% |
| 2026-09-21 | 0.00% |
| 2026-09-20 | 0.00% |
| 2026-09-19 | 0.00% |
| 2026-09-18 | 0.00% |
| 2026-09-17 | 0.00% |
| 2026-09-16 | 0.00% |
| 2026-09-15 | 0.00% |
| 2026-09-14 | 0.00% |
| 2026-09-13 | 0.00% |
| 2026-09-12 | 0.00% |
| 2026-09-11 | 0.00% |
| 2026-09-10 | 0.00% |
| 2026-09-09 | 0.00% |
| 2026-09-08 | 0.00% |
| 2026-09-07 | 0.00% |
| 2026-09-06 | 0.00% |
| 2026-09-05 | 0.00% |
| 2026-09-04 | 0.00% |
| 2026-09-03 | 0.00% |
| 2026-09-02 | 0.00% |
| 2026-09-01 | 0.00% |
| 2026-08-31 | 0.00% |
| 2026-08-30 | 0.00% |
| 2026-08-29 | 0.00% |
| 2026-08-28 | 0.00% |
| 2026-08-27 | 0.00% |
| 2026-08-26 | 0.00% |
| 2026-08-25 | 0.00% |
| 2026-08-24 | 0.00% |
| 2026-08-23 | 0.00% |
| 2026-08-22 | 0.00% |
| 2026-08-21 | 0.00% |
| 2026-08-20 | 0.00% |
| 2026-08-19 | 0.00% |
| 2026-08-18 | 0.00% |
| 2026-08-17 | 0.00% |
| 2026-08-16 | 0.00% |
| 2026-08-15 | 0.00% |
| 2026-08-14 | 0.00% |
| 2026-08-13 | 0.00% |
| 2026-08-12 | 0.00% |
| 2026-08-11 | 0.00% |
| 2026-08-10 | 0.00% |
| 2026-08-09 | 0.00% |
| 2026-08-08 | 0.00% |
| 2026-08-07 | 0.00% |
| 2026-08-06 | 0.00% |
