{
  "url": "https://blockindex.ai/coin/nmr",
  "name": "Numerai",
  "links": {
    "github": "https://github.com/numerai/example-scripts",
    "website": "https://numer.ai/",
    "whitepaper": null
  },
  "dScore": 27,
  "market": {
    "priceUsd": 8.502278000725752,
    "marketCapUsd": 63693268.13494827,
    "volume24hUsd": 5108237.60505619,
    "priceChange7dPct": 0.72277866,
    "priceChange24hPct": -1.1214681
  },
  "source": "BlockIndex.AI",
  "supply": {
    "max": 11000000,
    "circulating": 7491317.98907439,
    "circulatingPct": 68.10289080976717
  },
  "ticker": "NMR",
  "founder": "Richard Craib",
  "vcFunded": true,
  "updatedAt": "2026-06-19T06:00:39.670367+00:00",
  "fairLaunch": true,
  "launchYear": 2015,
  "description": "Numerai is a hybrid quantitative hedge fund and open data‑science tournament that uses the native ERC‑20 token NMR to align independent data scientists with an institutional trading strategy. The platform publishes obfuscated stock‑market datasets and invites contributors to build predictive models; modelers stake NMR to signal confidence in their submissions and are rewarded when their models improve the fund’s meta‑model. Numerai’s design funnels external model expertise into a repeatable incentive loop—public datasets and example scripts (in Python and R) lower onboarding friction, a leaderboard creates reputational incentives, and NMR staking provides direct financial alignment between contributors and fund performance. The project references institutional backers in public materials, and the Numerai company operates the hedge fund and platform infrastructure.\n\nTechnically, NMR is an ERC‑20 token deployed on the Ethereum network and therefore inherits Ethereum’s consensus and execution characteristics. The token contract and associated on‑chain activity can be inspected via standard Ethereum tooling (Etherscan is explicitly referenced in the supplied materials). Numerai publishes example scripts and developer resources on GitHub (example repo referenced), and the token is used primarily as a staking and payout instrument rather than as an independent blockchain with its own consensus. Key on‑chain supply figures shown in the provided snapshots include a max supply of 11,000,000 NMR, a total supply near 10.65M, and a circulating supply of approximately 7.69M based on the captured market data.\n\nFrom a tokenomics perspective, the supplied materials describe a conservative issuance profile: partial distributions to early users, multi‑year locked incentives (3,000,000 NMR locked until 2028 per the sources), and ongoing staking/payout mechanics that funnel rewards to modelers. The documentation in the provided files does not present a single consolidated “premine” percentage or a clearly stated initial public percentage (PIP) allocation; where direct statements are missing the extraction marked those values as unspecified. Market snapshots included with the materials show price and market capitalization at the capture time (price ≈ $9.32, market cap ≈ $71.73M), alongside historical reference points (all‑time high: $164.59 on 2017‑06‑25; all‑time low: $1.93 on 2018‑11‑26).\n\nGovernance and organizational structure are described in company terms rather than as an on‑chain DAO in the provided content. The project is operated by a corporate entity (Numerai) and references a CEO (Richard Craib in the extracted DScore material), institutional backers, and off‑chain coordination mechanisms. The provided sources do not document an on‑chain governance token or formal DAO voting system for protocol‑level decisions; instead, platform governance and fund operation are presented as company‑led activities. Development and dataset updates are ongoing (examples: 2025 dataset releases and product updates referenced), and the token’s role remains focused on staking incentives and alignment for Numerai’s modelers.",
  "methodology": "https://blockindex.ai/dscore",
  "classification": {
    "layer": "Layer 2",
    "isToken": true,
    "consensus": "PoS",
    "parentChain": "ETH"
  },
  "dScoreComponents": {
    "autonomy": 0,
    "ageHistory": 15,
    "governance": 12,
    "nodeDistribution": 0,
    "initialDistribution": 0
  },
  "decentralizationVerdict": "Centralized Leaning"
}