Into:MANTIS
Eleven challenges, one signal stack.
As of · Jun 4, 10:37 UTC
Eleven scored challenges across crypto, forex, metals, and cross-sectional rankings of 33 spot assets and 20 funding rates. submit encrypted embeddings every minute, validators wait for the Drand timelock before decrypting, then walk-forward score every payload with L2-regularized regression. No price forecasts, just learned representations that have to earn their weight.
What is MANTIS
MANTIS is a market-signal subnet built by Barbariandev. Miners submit encrypted embeddings (numerical representations of market data) for each of 11 challenges. Validators decrypt them only after a public timelock matures, align them with what actually happened in markets, and score each miner by how much their embeddings improve forecasting. The best embeddings earn the on-chain weight.
The simple version: Imagine 11 different market puzzles, from "which way does ETH move in the next hour" to "rank these 33 assets by 4-hour return". Each miner submits a sealed envelope of numbers describing the data, and the envelopes can only be opened after a public deadline passes. After the move happens, the operator scores whose numbers actually helped predict it. The most helpful numbers win.
Centralized equivalent: Closest analog is Numerai (encrypted feature tournaments) or WorldQuant BRAIN (crowdsourced alpha discovery). MANTIS sits closer to Numerai in spirit but runs on-chain, with cryptographic timelock rather than a centralized scoring server.
How it works:
- Miners publish V2 JSON payloads on Cloudflare R2 (object key equals the , max 25 MB), one entry every 5 blocks per challenge. Payloads are encrypted to both the subnet owner (X25519 ECDH + ChaCha20-Poly1305) and the Drand timelock beacon (BLS12-381 identity-based encryption), with a SHA-256 binding hash preventing replay.
- Validators sample blocks at the same cadence, download payloads, decrypt them after the Drand round matures, store (embedding, price) pairs in a local SQLite ledger, then periodically run walk-forward salience scoring per challenge. Per-challenge salience is normalized, weighted, averaged, -smoothed, and pushed on-chain.
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