{
  "netuid": 123,
  "slug": "mantis",
  "name": "MANTIS",
  "symbol": "\ud804\udc00",
  "description": "MANTIS Bittensor subnet",
  "priceTao": 0.004640999,
  "priceUsd": 1.174409928579593,
  "athUsd": 1.176449267440563,
  "change24h": -0.23637170719229061,
  "change7d": 0.6699837227381894,
  "change30d": -4.9593379057710845,
  "change90d": -0.17,
  "marketCapUsd": 3818990.355663611,
  "volume24hUsd": 35415.22033423283,
  "rootProp": 0.2194282421562325,
  "liquidityUsd": 3837268.8207740504,
  "alphaStaked": 1613994.833615159,
  "activeMiners": 234,
  "activeValidators": 7,
  "emissionPct": 0.006626125812056923,
  "emissionPerDayTao": 1.0,
  "registrationCost": 118.034291488,
  "pruningRank": 73,
  "immunityRemaining": 4782,
  "sentiment": "Neutral",
  "githubRepo": "https://github.com/Barbariandev/MANTIS",
  "subnetUrl": "",
  "scorecard": {
    "adoption": {
      "label": "weak",
      "score": 15,
      "reasons": [
        {
          "tone": "neutral",
          "label": "Stars",
          "value": "20",
          "weight": null
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        {
          "tone": "neutral",
          "label": "Contributors",
          "value": "5",
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        {
          "tone": "neutral",
          "label": "24h volume",
          "value": "$35,415",
          "weight": null
        },
        {
          "tone": "neutral",
          "label": "Validators",
          "value": "7",
          "weight": null
        },
        {
          "tone": "negative",
          "label": "Bus factor",
          "value": "Top contributor: 97%",
          "weight": null
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        {
          "tone": "neutral",
          "label": "LLM blend",
          "value": "heuristic=7 \u00d7 0.6 + llm=28 \u00d7 0.4",
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    "shipSpeed": {
      "label": "mixed",
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          "tone": "positive",
          "label": "Commits 30d",
          "value": "28",
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        {
          "tone": "neutral",
          "label": "Merged PRs 30d",
          "value": "0",
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        {
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          "value": "0",
          "weight": null
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        {
          "tone": "positive",
          "label": "Latest push",
          "value": "2026-04-29T06:45:00Z",
          "weight": null
        },
        {
          "tone": "neutral",
          "label": "Momentum",
          "value": "stable (28/30d vs 22/mo avg)",
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          "tone": "neutral",
          "label": "LLM blend",
          "value": "heuristic=55 \u00d7 0.6 + llm=33 \u00d7 0.4",
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    "updatedAt": "2026-04-29T20:41:08.738252+00:00",
    "confidence": 0.82,
    "usefulness": {
      "label": "commoditized risk",
      "score": 35,
      "reasons": [
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          "tone": "neutral",
          "label": "Durable keywords",
          "value": "0 matched",
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        {
          "tone": "positive",
          "label": "Commodity risk",
          "value": "0 matched",
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          "tone": "neutral",
          "label": "Subnet traction",
          "value": "1/30",
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          "tone": "neutral",
          "label": "LLM blend",
          "value": "heuristic=31 \u00d7 0.6 + llm=42 \u00d7 0.4",
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    "codeQuality": {
      "label": "weak",
      "score": 12,
      "reasons": [
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          "tone": "negative",
          "label": "CI",
          "value": "Missing",
          "weight": null
        },
        {
          "tone": "negative",
          "label": "Tests",
          "value": "Missing",
          "weight": null
        },
        {
          "tone": "positive",
          "label": "Docs",
          "value": "Basic (600 chars)",
          "weight": null
        },
        {
          "tone": "negative",
          "label": "Dep mgmt",
          "value": "None",
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        {
          "tone": "negative",
          "label": "PR reviews",
          "value": "1.0 avg, 0% self-merge",
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          "tone": "neutral",
          "label": "Commit quality",
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        {
          "tone": "neutral",
          "label": "Security hygiene",
          "value": "No SECURITY.md",
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          "tone": "neutral",
          "label": "LLM blend",
          "value": "heuristic=6 \u00d7 0.6 + llm=20 \u00d7 0.4",
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  "marketScore": 16.0,
  "githubScore": 33.0,
  "aiScore": 32.0,
  "masterScore": 31.0,
  "masterRating": "D",
  "lastUpdatedAt": "2026-04-29T20:21:48Z",
  "isStale": false,
  "masterScorePrev": 24.0,
  "purpose": {
    "title": "MANTIS",
    "source": "llm",
    "confidence": 0.72,
    "shortSummary": "MANTIS (netuid 123) is a multi-challenge signal aggregation subnet where validators sample miner payloads, decrypt them after a timelock maturation window, and score them via walk-forward salience with EMA smoothing. The network shows 234 active miners and 28 commits in the last 30 days, signaling genuine activity, but is severely undermined by near-total single-contributor dependency (97%), zero CI/tests/lint/license, and no released versions in 12 months. At ~$3.8M market cap with only 7 validators and $35K daily volume, on-chain traction remains thin."
  },
  "analysis": {
    "risks": [
      "Top contributor accounts for 97% of commits \u2014 extreme bus factor risk; one departure effectively kills development",
      "Zero CI, zero tests, zero lint config, and no license detected; commit message quality scored 0.0 \u2014 the codebase has no automated quality floor and no legal clarity for external contributors"
    ],
    "score": 32,
    "summary": "MANTIS (netuid 123) is a multi-challenge signal aggregation subnet where validators sample miner payloads, decrypt them after a timelock maturation window, and score them via walk-forward salience with EMA smoothing. The network shows 234 active miners and 28 commits in the last 30 days, signaling genuine activity, but is severely undermined by near-total single-contributor dependency (97%), zero CI/tests/lint/license, and no released versions in 12 months. At ~$3.8M market cap with only 7 validators and $35K daily volume, on-chain traction remains thin.",
    "provider": "cascade:sonnet",
    "expiresAt": "2026-05-29T20:40:09.282640+00:00",
    "strengths": [
      "234 active miners indicates genuine network participation and a functioning incentive loop",
      "28 commits in the last 30 days slightly accelerates above the 90-day average of ~22/month, suggesting active iteration",
      "Self-merge ratio of 0.0 across all PRs indicates at least some code review discipline despite the tiny contributor base"
    ],
    "updatedAt": "2026-04-29T20:40:09.282640+00:00",
    "durability": "weak",
    "recommendation": "Monitor for validator growth beyond 7 and evidence of a second active contributor before allocating meaningful stake; current single-point-of-failure risk outweighs the modest miner traction.",
    "dimensionScores": {
      "adoption": 28,
      "shipSpeed": 33,
      "usefulness": 42,
      "codeQuality": 20
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  },
  "repoCoverageStatus": "covered",
  "repos": [
    {
      "netuid": 123,
      "repoKind": "primary",
      "provider": "github",
      "owner": "Barbariandev",
      "name": "MANTIS",
      "url": "https://github.com/Barbariandev/MANTIS",
      "source": "registry",
      "isArchived": false,
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      "languages": [
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          "name": "Python",
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      "readmeExcerpt": "MANTIS Bittensor Subnet 123 \u2014 Multi-challenge signal aggregation network. --- Architecture Validators sample miner payloads every `SAMPLE_EVERY` blocks, decrypt them after a timelock maturation window, and store embedding, price pairs in a SQLite database. Periodically, walk-forward scoring computes per-hotkey salience for each challenge, aggregates across challenges by weight, applies EMA smoothing, and sets on-chain weights. mermaid graph TD subgraph validator \"validator.py\" A \"Sample block\" --> B \"cycle.get_miner_payloads \" B --> C \"ledger.append_step \" A --> D \"Periodic weight calc\" D --> ",
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      "label": "GitHub",
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    {
      "tweet_id": "2048483488194605432",
      "handle": "Barbarian7676",
      "text": "RT @Pop_Collapse: MANTIS, subnet 123: a low-cap quant signal machine on Bittensor $TAO\n\n\"the ultimate signal machine\"\n\nFounder @Barbarian76\u2026",
      "created_at": "2026-04-26T16:24:57-03:00",
      "likes": 60,
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      "handle": "Barbarian7676",
      "text": "RT @Capitalist_TAO: Watching MANTIS closely over the past few days. Looks like @Barbarian7676 is cooking \ud83d\udc40. If this subnet moves from the q\u2026",
      "created_at": "2026-04-26T16:24:42-03:00",
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    {
      "tweet_id": "2048192796457070945",
      "handle": "Barbarian7676",
      "text": "RT @CryptoZPunisher: #Bi\u03c4\u03c4ensor &gt;&gt; \u2206 \u03c4 &lt;&lt; #\u03c4\u2090cc\u2026",
      "created_at": "2026-04-25T21:09:50-03:00",
      "likes": 31,
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    },
    {
      "tweet_id": "2047043311962316938",
      "handle": "Barbarian7676",
      "text": "RT @CryptoZPunisher: Bittensor  &gt;&gt; $TAO &gt;&gt; $dTAO\n\nSubnet 123: Mantis \n@MANTISBittensor \n\nIt\u2019s not enough to have an agent, you\u2019ll need flaw\u2026",
      "created_at": "2026-04-22T17:02:12-03:00",
      "likes": 60,
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    {
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      "handle": "Barbarian7676",
      "text": "RT @tennismandu22: Most people are focusing on the PnL.\n\nThey\u2019re missing the point.\n\nWhat\u2019s happening here isn\u2019t just a trading experiment.\u2026",
      "created_at": "2026-04-21T17:21:07-03:00",
      "likes": 16,
      "retweets": 3,
      "replies": 2,
      "views": 1184,
      "is_retweet": false,
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    {
      "tweet_id": "2046681593365053897",
      "handle": "Barbarian7676",
      "text": "The frequency of trades we are looking at. The agent has found multi asset/target signal on multiple timeframes. This is how it is able to use incredibly high leverage and not get near instantly liquidated. https://t.co/ZESzI3iH7s",
      "created_at": "2026-04-21T17:04:52-03:00",
      "likes": 32,
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      "views": 1525,
      "is_retweet": false,
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    {
      "tweet_id": "2046678323464642935",
      "handle": "Barbarian7676",
      "text": "We gave an Arbos agent 2.2K, the MANTIS signals fresh from the API and the goal to trade as aggressively as possible with 25% 3 month risk of ruin accepted, let's see how this goes. https://t.co/f1TZ2AgJYL",
      "created_at": "2026-04-21T16:51:52-03:00",
      "likes": 79,
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    {
      "tweet_id": "2046658051936280821",
      "handle": "Barbarian7676",
      "text": "RT @CryptoZPunisher: Bittensor &gt;&gt; $TAO &gt;&gt; $dTAO\n\nSN 15/24/66/100/123\n\nBeing early in the search for future bangers is how you avoid getting\u2026",
      "created_at": "2026-04-21T15:31:19-03:00",
      "likes": 108,
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    {
      "tweet_id": "2045326201997394383",
      "handle": "Barbarian7676",
      "text": "RT @DrocksAlex2: @Barbarian7676 \ud83d\udc46",
      "created_at": "2026-04-17T23:19:01-03:00",
      "likes": 4,
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    {
      "tweet_id": "2045313872341688326",
      "handle": "Barbarian7676",
      "text": "SN8 has an incredibly solid and well tested business model that is well equipped to thrive and scale on Bittensor.\n\nThey have the best potential for revenue exceeding emissions short and mid term in the top 10 at the moment.",
      "created_at": "2026-04-17T22:30:01-03:00",
      "likes": 49,
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    {
      "tweet_id": "2045309670013976930",
      "handle": "Barbarian7676",
      "text": "I would consider this index to have 0 information value.\n\nThere are 2 completely unknown SNs in the top 10.\n\nChutes is ranked in the 50s\n\nMany of the most promising lower valued subnets are incredibly low on the list.\n\nIt seems completely incoherent to me",
      "created_at": "2026-04-17T22:13:20-03:00",
      "likes": 31,
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    {
      "tweet_id": "2045294200355508731",
      "handle": "Barbarian7676",
      "text": "RT @DrocksAlex2: $TAO A new trendy app \"Tao Institute\" ranks Bittensor sn28 higher than Chutes.\nhttps://t.co/rBLCuLSsuD\n\nThe purpose of SN2\u2026",
      "created_at": "2026-04-17T21:11:51-03:00",
      "likes": 106,
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    {
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      "handle": "Barbarian7676",
      "text": "RT @const_reborn: To use the jargon of the day: \n\nMantis built \u201cauto research\u201d but for trading signals.\n\nBasically an optimization game whe\u2026",
      "created_at": "2026-04-17T00:12:13-03:00",
      "likes": 243,
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      "is_retweet": false,
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    {
      "tweet_id": "2044977134872207720",
      "handle": "Barbarian7676",
      "text": "RT @const_reborn: Very similar to the original bittensor white paper using information theoretic incentives directly.",
      "created_at": "2026-04-17T00:11:57-03:00",
      "likes": 121,
      "retweets": 22,
      "replies": 3,
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      "is_retweet": false,
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    {
      "tweet_id": "2044666021802590387",
      "handle": "Barbarian7676",
      "text": "It will be quite exciting to see how Bittensor and it's teams will evolve in the upcoming era of liquid subnet ownership.",
      "created_at": "2026-04-16T03:35:42-03:00",
      "likes": 44,
      "retweets": 6,
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      "is_retweet": false,
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    {
      "tweet_id": "2044575961660985723",
      "handle": "Barbarian7676",
      "text": "$BTC &gt; $TAO &gt; $ETH",
      "created_at": "2026-04-15T21:37:50-03:00",
      "likes": 61,
      "retweets": 8,
      "replies": 6,
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    {
      "tweet_id": "2044567920207188450",
      "handle": "Barbarian7676",
      "text": "RT @TaoIsTheKey: 6) list of subnets that have verified X accounts: \n\n\ud83d\udea8 Updated Bittensor Subnet X Directory \u2013 April 13, 2026 \n\nThanks to th\u2026",
      "created_at": "2026-04-15T21:05:53-03:00",
      "likes": 14,
      "retweets": 3,
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      "views": 1018,
      "is_retweet": false,
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    {
      "tweet_id": "2044551980954370220",
      "handle": "Barbarian7676",
      "text": "New Challenge: FUNDING-XSEC\n\nMANTIS is adding cross-sectional funding rate prediction across 20 perpetual futures assets.\n\nThe problem: Predict which assets' 8-hour funding rates will change more than the cross-sectional median. Labels use funding rate changes (not levels) relative to the median, stripping out autocorrelation and market-wide beta. Base rate is exactly 50% by construction. All 20 assets are pooled, giving 20x the effective sample count of a single-asset challenge.\n\nAssets: BTC, ETH, SOL, XRP, DOGE, ADA, AVAX, LINK, DOT, SUI, NEAR, AAVE, UNI, LTC, HBAR, PEPE, TRX, SHIB, TAO, ONDO\n\nSubmission: Dict keyed by asset, each value in [-1, 1]. Magnitude matters \u2014 it's used directly as a logistic regression feature. Missing assets default to 0.0.\n\nWeight: 4.0 (~17% of emissions), second only to MULTI-BREAKOUT.\n\nScoring: Walk-forward meta-model (same structure as XSEC-RANK) with extended embargo to prevent label leakage from the 8h forward horizon, plus a stale-signal filter that zeroes constant submissions.\n\nEmissions ramp up gradually as the meta-model accumulates data \u2014 comparable timeline to XSEC-RANK.\n\nAlso in this update: EMA smoothing on weight-setting (\u03b1=0.15), hardened drand_cache recovery, updated Miner Guide with per-challenge scoring details.",
      "created_at": "2026-04-15T20:02:32-03:00",
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    {
      "tweet_id": "2044467650848559373",
      "handle": "Barbarian7676",
      "text": "@markjeffrey please check your DMs",
      "created_at": "2026-04-15T14:27:26-03:00",
      "likes": 15,
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    {
      "tweet_id": "2043936300114596309",
      "handle": "Barbarian7676",
      "text": "RT @DeFiator: Mantis is becoming quantitative hedge fund. \nCash stream is from selling  the signal.\n\ud83d\udc4c\ud83d\udc40",
      "created_at": "2026-04-14T03:16:03-03:00",
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