Top Oracles tokens by market capitalization
Oracles contains 39 coins with a total market capitalization of $20.07B and an average price change of -3.90%. They are listed in size by market capitalization.
Oracles are external entities that supply data or information to inform or validate processes within a system. In blockchain technology, Oracles are usually third-party services or devices that provide data to smart contracts. Smart contracts are self-executing contracts with the terms of the agreement between parties written directly in code. However, they can't access information outside of their blockchain, and this is where Oracles come in. Oracles serve as a bridge between the outside world and the blockchain, supplying the data needed for smart contracts to execute their code based on real-world events. This enables smart contracts to operate in the real world even though they are confined within a blockchain. The information Oracles provide can range from price data to event outcomes, making them essential for creating sophisticated and versatile applications on blockchain platforms.
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| Name | Price | 24h (%) | 7D (%) | Market cap | 24h volume | Supply | Last 24h | Operation | |
|---|---|---|---|---|---|---|---|---|---|
 |  ChainlinkLINK | $21.91 | -8.12% | -26.02% | $13.98B | $1.21B | 638.10M | Trade | |
|  BittensorTAO | $447.73 | -9.20% | -19.88% | $3.30B | $260.68M | 7.38M | Trade | |
|  Pyth NetworkPYTH | $0.3559 | -- | -- | $0 | $0 | 0.00 | Trade | |
|  Band ProtocolBAND | $1.37 | -9.14% | -26.16% | $212.78M | $8.65M | 154.78M | Trade | |
|  UMAUMA | $2.54 | -8.93% | -27.36% | $212.64M | $28.84M | 83.77M | Trade | |
|  iExec RLCRLC | $1.9 | -6.77% | -24.31% | $137.80M | $6.89M | 72.38M | Trade | |
|  API3API3 | $1.57 | -7.62% | -25.81% | $135.45M | $30.40M | 86.42M | Trade | |
|  OraichainORAI | $7.62 | -11.66% | -31.66% | $105.30M | $3.34M | 13.82M | Trade | |
|  WINkLinkWIN | $0.0001021 | -5.22% | -23.57% | $101.50M | $40.81M | 993.70B | Trade | |
| $0.1177 | -7.69% | -27.62% | $90.73M | $12.75M | 770.85M | |||
|  DIADIA | $0.6482 | -6.11% | -20.66% | $77.58M | $12.61M | 119.68M | ||
|  EntangleNGL | $0.1100 | -10.24% | -31.33% | $62.93M | $268,764.18 | 572.11M | ||
|  AirSwapAST | $0.1097 | +5.78% | -20.53% | $19.14M | $14.88M | 174.48M | ||
|  HAPI ProtocolHAPI | $9.59 | -1.80% | -26.79% | $7.02M | $132,715.95 | 732232.70 | ||
| $0.04336 | +4.32% | -11.19% | $6.56M | $801,614.83 | 151.37M | |||
|  AugurREP | $0.5305 | -9.12% | -17.51% | $5.84M | $86,352.49 | 11.00M | Trade | |
|  NEST ProtocolNEST | $0.001209 | +0.19% | -2.68% | $3.52M | $1.42M | 2.91B | ||
| $0.01187 | -0.88% | -21.78% | $3.48M | $227,948.26 | 292.96M | |||
|  KylinKYL | $0.01224 | -2.93% | -9.84% | $3.31M | $0 | 270.26M | ||
| $0.03914 | +3.58% | -20.17% | $2.29M | $36,792.09 | 58.42M | |||
| $0.4593 | +4.93% | +8.83% | $1.83M | $78,166.59 | 3.98M | |||
|  UnificationFUND | $0.04920 | -1.34% | -18.75% | $1.69M | $2,206.16 | 34.45M | ||
|  StandardSTND | $0.01249 | -10.64% | -39.45% | $1.07M | $136,303.08 | 85.57M | ||
|  Razor NetworkRAZOR | $0.002212 | -1.38% | -8.22% | $725,973.49 | $54,982.4 | 328.25M | ||
|  ZapZAP | $0.002483 | -8.44% | -8.81% | $586,428.64 | $304.31 | 236.14M | ||
|  IdenaIDNA | $0.005873 | -14.66% | -15.73% | $432,955.34 | $491.74 | 73.72M | ||
|  ModefiMOD | $0.02334 | -0.11% | -17.14% | $375,189.72 | $55.97 | 16.08M | ||
|  Ares ProtocolARES | $0.0005278 | +5.75% | -9.43% | $122,014.46 | $16,134.1 | 231.18M | ||
|  Bird.MoneyBIRD | $0.6113 | -13.03% | -29.41% | $58,042.35 | $2,821.63 | 94942.00 | ||
|  Berry DataBRY | $0.02171 | -6.80% | -17.28% | $43,415.68 | $2,383.95 | 2.00M | ||
|  ORAO NetworkORAO | $0.0008675 | +4.57% | +1.03% | $34,177.21 | $116.81 | 39.40M | ||
|  OptionRoomROOM | $0.0001798 | -9.11% | -3.40% | $2,246.44 | $85.89 | 12.49M | ||
|  DOS NetworkDOS | $0.0007361 | +59.86% | +43.79% | $0 | $0 | 0.00 | ||
|  xFundXFUND | $319.94 | -2.75% | -18.67% | $0 | $1,651.12 | 0.00 | ||
|  SEOR NetworkSEOR | $0.0007620 | -0.56% | +9.26% | $0 | $41,351.15 | 0.00 | ||
|  KenshiKNS | $0.02414 | -3.26% | -25.41% | $0 | $3,480.18 | 0.00 | ||
|  AlphaScan AIASCN | $0.005360 | +6.33% | -4.90% | $0 | $152.75 | 0.00 | ||
|  WoofOracleWFO | $0.{7}1741 | -2.97% | +4.67% | $0 | $0 | 0.00 |
FAQ
How do Oracles work in the blockchain ecosystem?
Oracles operate by collecting information from external sources, such as websites, APIs, or other data feeds, and subsequently delivering that information to a smart contract on a blockchain. Once the data is received, the smart contract can utilize it to initiate predefined actions or make informed decisions.
What are the different types of Oracles, and how do they differ?
Oracles can be categorized based on their data source and operational nature into hardware Oracles (which gather physical world data), software Oracles (which collect online data), consensus Oracles (which aggregate opinions), inbound Oracles (which bring external data into the blockchain), and outbound Oracles (which relay blockchain data to the external world). Each type has unique use cases and operational characteristics.
What are some real-world use cases of Oracles in blockchain technology?
Oracles find applications in various blockchain contexts, including Decentralized Finance (DeFi) for providing price feeds, supply chain tracking for verifying product origins, insurance contracts for triggering payouts based on real-world events, and prediction markets for settling bets according to outcomes.
What are the potential security risks associated with using Oracles in blockchain applications?
Oracles may introduce vulnerabilities in a decentralized system due to their reliance on external data. Risks encompass data tampering, denial-of-service attacks, and man-in-the-middle attacks. To counter these risks, developers commonly use decentralized Oracles, multi-signature Oracles, or trusted execution environments.
How can the reliability and accuracy of data provided by Oracles be ensured?
To ensure the reliability and accuracy of oracle data, various methods can be employed, such as using multiple Oracles for redundancy, implementing consensus mechanisms among Oracles, verifying the credibility of data sources, or utilizing cryptographic proofs and secure hardware.
Can Oracles be manipulated to provide false data?
Indeed, Oracles can be manipulated, particularly if they depend on a single, centralized information source. Manipulation may arise from malicious actors, errors in data sources, or transmission issues. To mitigate this, decentralized Oracles, multi-source verification, and consensus mechanisms are commonly employed.
How do blockchain applications handle conflicting data from multiple Oracles?
When faced with conflicting data from multiple Oracles, a blockchain application typically resorts to a consensus mechanism to resolve the disparity. This can involve averaging the inputs, taking a majority vote, or employing a weighting system based on the reputation of the Oracles involved.
What are the latency issues associated with Oracles in blockchain applications?
Latency issues in Oracles can emerge when there is a delay in retrieving and transmitting data to a blockchain, causing subsequent delays in smart contract execution. This may result from network congestion, slow data sources, or inefficient oracle design. Addressing latency requires optimizing the oracle infrastructure, utilizing faster data sources, and adopting efficient data transmission protocols.