# Push Based Data Feed ⎊ Term

**Published:** 2026-03-11
**Author:** Greeks.live
**Categories:** Term

---

![A high-resolution render displays a stylized, futuristic object resembling a submersible or high-speed propulsion unit. The object features a metallic propeller at the front, a streamlined body in blue and white, and distinct green fins at the rear](https://term.greeks.live/wp-content/uploads/2025/12/algorithmic-arbitrage-engine-dynamic-hedging-strategy-implementation-crypto-options-market-efficiency-analysis.webp)

![A dark blue and white mechanical object with sharp, geometric angles is displayed against a solid dark background. The central feature is a bright green circular component with internal threading, resembling a lens or data port](https://term.greeks.live/wp-content/uploads/2025/12/high-frequency-algorithmic-trading-engine-smart-contract-execution-module-for-on-chain-derivative-pricing-feeds.webp)

## Essence

**Push Based Data Feed** mechanisms represent a paradigm shift in how decentralized derivative protocols receive external market information. Instead of relying on passive, request-response cycles where a [smart contract](https://term.greeks.live/area/smart-contract/) must poll for updates, these systems utilize proactive transmission. An off-chain actor or specialized oracle network broadcasts price data directly to the contract state whenever specific conditions are met, such as a predefined [deviation threshold](https://term.greeks.live/area/deviation-threshold/) or a set time interval. 

> Push Based Data Feed architectures replace latent polling with proactive data transmission to minimize price discovery gaps in derivative markets.

This design prioritizes low-latency state updates, which are critical for the margin engines of crypto options. By ensuring the settlement layer maintains an accurate reflection of spot prices, these feeds mitigate the risk of stale data exploitation during periods of high market volatility. The architectural shift moves the burden of monitoring from the on-chain protocol to the off-chain provider, effectively streamlining the execution path for liquidation and pricing functions.

![A digital cutaway renders a futuristic mechanical connection point where an internal rod with glowing green and blue components interfaces with a dark outer housing. The detailed view highlights the complex internal structure and data flow, suggesting advanced technology or a secure system interface](https://term.greeks.live/wp-content/uploads/2025/12/decentralized-finance-layer-two-scaling-solution-bridging-protocol-interoperability-architecture-for-automated-market-maker-collateralization.webp)

## Origin

The necessity for **Push Based Data Feed** solutions emerged from the fundamental limitations of early decentralized finance protocols.

Initially, most platforms utilized synchronous pull-based oracles, where data retrieval was gated by user interaction. This dependency created significant bottlenecks, particularly during rapid market movements where price updates failed to trigger in time to prevent systemic insolvency.

- **Latency Sensitivity**: Standard pull models introduced unavoidable delays between spot market volatility and on-chain margin adjustment.

- **Transaction Cost Overload**: Requiring users to trigger data updates forced unnecessary gas expenditure on participants, reducing overall capital efficiency.

- **Adversarial Exploitation**: Market actors identified gaps between on-chain and off-chain pricing, facilitating front-running opportunities against the protocol’s internal accounting.

These technical constraints forced developers to rethink the relationship between external data and internal state. The shift toward push models reflects a broader movement within the industry to optimize for speed and reliability, drawing inspiration from high-frequency trading architectures while operating within the restrictive bounds of blockchain consensus.

![A high-resolution visualization showcases two dark cylindrical components converging at a central connection point, featuring a metallic core and a white coupling piece. The left component displays a glowing blue band, while the right component shows a vibrant green band, signifying distinct operational states](https://term.greeks.live/wp-content/uploads/2025/12/decentralized-automated-smart-contract-execution-and-settlement-protocol-visualized-as-a-secure-connection.webp)

## Theory

The mathematical integrity of **Push Based Data Feed** systems relies on the precision of the trigger logic and the robustness of the underlying consensus. When modeling the price update mechanism, one must account for the trade-off between update frequency and operational cost.

If the deviation threshold is too wide, the protocol risks exposure to stale pricing; if too narrow, the network becomes congested with redundant transactions.

| Parameter | Pull Based Feed | Push Based Feed |
| --- | --- | --- |
| Update Trigger | User-initiated request | Condition-based broadcast |
| Latency | Variable/High | Deterministic/Low |
| Cost Allocation | User-borne | Protocol-subsidized |

> The efficiency of push based feeds is governed by the sensitivity of the deviation threshold relative to the volatility of the underlying asset.

From a game theory perspective, these systems create an adversarial environment where oracle operators are incentivized to provide accurate data to avoid slashing or reputational loss. The physics of the protocol must account for the propagation time of transactions across the validator set, ensuring that the pushed data is finalized before the derivative contract utilizes it for margin calculations. Sometimes, the rigid structure of a protocol feels like a high-speed locomotive traveling on tracks laid in real-time by the very passengers it carries ⎊ a constant balancing act of momentum and maintenance.

This environment demands that developers treat the data stream as a critical dependency, subjecting it to the same security rigor as the core smart contract logic. Any failure in the push mechanism leads to immediate divergence between the derivative’s book value and the true market value, creating an opening for automated arbitrage agents to extract value from the protocol.

![A close-up view shows several parallel, smooth cylindrical structures, predominantly deep blue and white, intersected by dynamic, transparent green and solid blue rings that slide along a central rod. These elements are arranged in an intricate, flowing configuration against a dark background, suggesting a complex mechanical or data-flow system](https://term.greeks.live/wp-content/uploads/2025/12/interconnected-data-streams-in-decentralized-finance-protocol-architecture-for-cross-chain-liquidity-provision.webp)

## Approach

Modern implementation of **Push Based Data Feed** technology involves a tiered architecture where off-chain observers monitor centralized exchange order books and decentralized liquidity pools simultaneously. These observers aggregate data, apply filters to remove outliers, and sign updates that are then pushed to the destination smart contract.

- **Threshold Monitoring**: Nodes continuously calculate the delta between the current on-chain price and the latest off-chain observation.

- **Signed Data Batches**: Oracle networks aggregate multiple data points to reduce the signature verification overhead on the target chain.

- **Gas Optimization**: Protocols utilize batching and compressed data formats to minimize the cost of updating state variables during periods of high network congestion.

This approach necessitates a high degree of trust in the off-chain network, often mitigated by [decentralized oracle](https://term.greeks.live/area/decentralized-oracle/) nodes that provide cryptographically verifiable data. The challenge lies in balancing the speed of the push with the security of the validation, as the protocol must remain resilient against malicious data injection while maintaining the low latency required for efficient derivative pricing.

![A complex, futuristic mechanical object is presented in a cutaway view, revealing multiple concentric layers and an illuminated green core. The design suggests a precision-engineered device with internal components exposed for inspection](https://term.greeks.live/wp-content/uploads/2025/12/layered-architecture-of-a-decentralized-options-protocol-revealing-liquidity-pool-collateral-and-smart-contract-execution.webp)

## Evolution

The trajectory of **Push Based Data Feed** development has moved from simple, centralized providers toward highly decentralized, multi-source oracle networks. Early iterations suffered from single points of failure, where a compromised node could trigger mass liquidations across an entire protocol.

The industry responded by introducing threshold signature schemes and multi-node consensus, significantly hardening the delivery mechanism.

> Evolutionary progress in data delivery is defined by the transition from singular trust points to decentralized, cryptographically verifiable networks.

| Era | Primary Mechanism | Systemic Focus |
| --- | --- | --- |
| Gen 1 | Centralized Push | Basic Functionality |
| Gen 2 | Decentralized Oracle | Redundancy and Security |
| Gen 3 | ZK-Proof Verification | Efficiency and Trustless Proof |

Current research focuses on zero-knowledge proofs to allow protocols to verify the authenticity of pushed data without needing to trust the individual node operators. This transition represents the next frontier in the evolution of derivatives, aiming to create a truly trustless bridge between off-chain market data and on-chain execution.

![A low-angle abstract shot captures a facade or wall composed of diagonal stripes, alternating between dark blue, medium blue, bright green, and bright white segments. The lines are arranged diagonally across the frame, creating a dynamic sense of movement and contrast between light and shadow](https://term.greeks.live/wp-content/uploads/2025/12/trajectory-and-momentum-analysis-of-options-spreads-in-decentralized-finance-protocols-with-algorithmic-volatility-hedging.webp)

## Horizon

The future of **Push Based Data Feed** infrastructure points toward hyper-localized, protocol-specific oracles that integrate directly with the liquidity layer of the derivative platform. By eliminating the middleman, these custom solutions will enable sub-second updates, allowing decentralized options to compete directly with traditional high-frequency trading venues. The convergence of **Push Based Data Feed** mechanisms with cross-chain messaging protocols will further reduce liquidity fragmentation, enabling a unified pricing environment across diverse blockchain ecosystems. This architectural maturation will likely be the catalyst for the next wave of institutional adoption, as the risk profile of decentralized derivatives shifts from technical uncertainty toward verifiable, mathematical certainty. 

## Glossary

### [Decentralized Oracle](https://term.greeks.live/area/decentralized-oracle/)

Oracle ⎊ A decentralized oracle serves as a critical infrastructure layer that securely connects smart contracts on a blockchain with external, real-world data sources.

### [Deviation Threshold](https://term.greeks.live/area/deviation-threshold/)

Threshold ⎊ A deviation threshold is a parameter used in decentralized finance protocols to define the maximum acceptable price change before an action is triggered.

### [Smart Contract](https://term.greeks.live/area/smart-contract/)

Code ⎊ This refers to self-executing agreements where the terms between buyer and seller are directly written into lines of code on a blockchain ledger.

## Discover More

### [Real-Time Validity](https://term.greeks.live/term/real-time-validity/)
![A high-tech device with a sleek teal chassis and exposed internal components represents a sophisticated algorithmic trading engine. The visible core, illuminated by green neon lines, symbolizes the real-time execution of complex financial strategies such as delta hedging and basis trading within a decentralized finance ecosystem. This abstract visualization portrays a high-frequency trading protocol designed for automated liquidity aggregation and efficient risk management, showcasing the technological precision necessary for robust smart contract functionality in options and derivatives markets.](https://term.greeks.live/wp-content/uploads/2025/12/advanced-algorithmic-high-frequency-execution-protocol-for-decentralized-finance-liquidity-aggregation-and-risk-management.webp)

Meaning ⎊ Real-Time Validity ensures decentralized derivative settlement remains tethered to global market prices by enforcing strict data freshness constraints.

### [Price Discovery Efficiency](https://term.greeks.live/term/price-discovery-efficiency/)
![A complex network of glossy, interwoven streams represents diverse assets and liquidity flows within a decentralized financial ecosystem. The dynamic convergence illustrates the interplay of automated market maker protocols facilitating price discovery and collateralized positions. Distinct color streams symbolize different tokenized assets and their correlation dynamics in derivatives trading. The intricate pattern highlights the inherent volatility and risk management challenges associated with providing liquidity and navigating complex option contract positions, specifically focusing on impermanent loss and yield farming mechanisms.](https://term.greeks.live/wp-content/uploads/2025/12/interplay-of-crypto-derivatives-liquidity-and-market-risk-dynamics-in-cross-chain-protocols.webp)

Meaning ⎊ Price discovery efficiency ensures that decentralized derivative prices accurately and rapidly reflect the consensus value of underlying assets.

### [Data Feed Real-Time Data](https://term.greeks.live/term/data-feed-real-time-data/)
![A futuristic, asymmetric object rendered against a dark blue background. The core structure is defined by a deep blue casing and a light beige internal frame. The focal point is a bright green glowing triangle at the front, indicating activation or directional flow. This visual represents a high-frequency trading HFT module initiating an arbitrage opportunity based on real-time oracle data feeds. The structure symbolizes a decentralized autonomous organization DAO managing a liquidity pool or executing complex options contracts. The glowing triangle signifies the instantaneous execution of a smart contract function, ensuring low latency in a Layer 2 scaling solution environment.](https://term.greeks.live/wp-content/uploads/2025/12/algorithmic-execution-module-trigger-for-options-market-data-feed-and-decentralized-protocol-verification.webp)

Meaning ⎊ Real-time data feeds are the critical infrastructure for crypto options markets, providing the dynamic pricing and risk management inputs necessary for efficient settlement.

### [Oracle Heartbeat Deviations](https://term.greeks.live/term/oracle-heartbeat-deviations/)
![A futuristic, self-contained sphere represents a sophisticated autonomous financial instrument. This mechanism symbolizes a decentralized oracle network or a high-frequency trading bot designed for automated execution within derivatives markets. The structure enables real-time volatility calculation and price discovery for synthetic assets. The system implements dynamic collateralization and risk management protocols, like delta hedging, to mitigate impermanent loss and maintain protocol stability. This autonomous unit operates as a crucial component for cross-chain interoperability and options contract execution, facilitating liquidity provision without human intervention in high-frequency trading scenarios.](https://term.greeks.live/wp-content/uploads/2025/12/decentralized-oracle-node-monitoring-volatility-skew-in-synthetic-derivative-structured-products-for-market-data-acquisition.webp)

Meaning ⎊ Oracle Heartbeat Deviations govern the temporal and price-based triggers that synchronize on-chain states with real-world market volatility.

### [Premium Calculation Primitives](https://term.greeks.live/term/premium-calculation-primitives/)
![A visual representation of layered financial architecture and smart contract composability. The geometric structure illustrates risk stratification in structured products, where underlying assets like a synthetic asset or collateralized debt obligations are encapsulated within various tranches. The interlocking components symbolize the deep liquidity provision and interoperability of DeFi protocols. The design emphasizes a complex options derivative strategy or the nesting of smart contracts to form sophisticated yield strategies, highlighting the systemic dependencies and risk vectors inherent in decentralized finance.](https://term.greeks.live/wp-content/uploads/2025/12/layered-architecture-and-smart-contract-nesting-in-decentralized-finance-and-complex-derivatives.webp)

Meaning ⎊ Premium Calculation Primitives provide the essential mathematical framework for determining the fair cost of risk within decentralized derivatives.

### [Net Gamma Calculation](https://term.greeks.live/term/net-gamma-calculation/)
![A detailed visualization of a layered structure representing a complex financial derivative product in decentralized finance. The green inner core symbolizes the base asset collateral, while the surrounding layers represent synthetic assets and various risk tranches. A bright blue ring highlights a critical strike price trigger or algorithmic liquidation threshold. This visual unbundling illustrates the transparency required to analyze the underlying collateralization ratio and margin requirements for risk mitigation within a perpetual futures contract or collateralized debt position. The structure emphasizes the importance of understanding protocol layers and their interdependencies.](https://term.greeks.live/wp-content/uploads/2025/12/layered-protocol-architecture-analysis-revealing-collateralization-ratios-and-algorithmic-liquidation-thresholds-in-decentralized-finance-derivatives.webp)

Meaning ⎊ Net Gamma Calculation quantifies systemic directional risk by measuring aggregate portfolio convexity to forecast market stability and reflexivity.

### [Rollup Settlement Time](https://term.greeks.live/term/rollup-settlement-time/)
![A detailed schematic of a highly specialized mechanism representing a decentralized finance protocol. The core structure symbolizes an automated market maker AMM algorithm. The bright green internal component illustrates a precision oracle mechanism for real-time price feeds. The surrounding blue housing signifies a secure smart contract environment managing collateralization and liquidity pools. This intricate financial engineering ensures precise risk-adjusted returns, automated settlement mechanisms, and efficient execution of complex decentralized derivatives, minimizing slippage and enabling advanced yield strategies.](https://term.greeks.live/wp-content/uploads/2025/12/optimizing-decentralized-finance-protocol-architecture-for-real-time-derivative-pricing-and-settlement.webp)

Meaning ⎊ Rollup Settlement Time dictates the latency between off-chain derivative execution and on-chain finality, shaping capital risk and market efficiency.

### [Hybrid Limit Order Book](https://term.greeks.live/term/hybrid-limit-order-book/)
![This mechanical construct illustrates the aggressive nature of high-frequency trading HFT algorithms and predatory market maker strategies. The sharp, articulated segments and pointed claws symbolize precise algorithmic execution, latency arbitrage, and front-running tactics. The glowing green components represent live data feeds, order book depth analysis, and active alpha generation. This digital predator model reflects the calculated and swift actions in modern financial derivatives markets, highlighting the race for nanosecond advantages in liquidity provision. The intricate design metaphorically represents the complexity of financial engineering in derivatives pricing.](https://term.greeks.live/wp-content/uploads/2025/12/high-frequency-trading-algorithmic-execution-predatory-market-dynamics-and-order-book-latency-arbitrage.webp)

Meaning ⎊ Hybrid Limit Order Book systems bridge the performance gap of traditional matching engines with the trustless security of decentralized settlement.

### [Protocol Solvency Mechanisms](https://term.greeks.live/term/protocol-solvency-mechanisms/)
![A cutaway illustration reveals the inner workings of a precision-engineered mechanism, featuring interlocking green and cream-colored gears within a dark blue housing. This visual metaphor illustrates the complex architecture of a decentralized options protocol, where smart contract logic dictates automated settlement processes. The interdependent components represent the intricate relationship between collateralized debt positions CDPs and risk exposure, mirroring a sophisticated derivatives clearing mechanism. The system’s precision underscores the importance of algorithmic execution in modern finance.](https://term.greeks.live/wp-content/uploads/2025/12/decentralized-options-protocol-architecture-demonstrating-algorithmic-execution-and-automated-derivatives-clearing-mechanisms.webp)

Meaning ⎊ Protocol Solvency Mechanisms automate risk management to maintain collateral integrity and prevent systemic failure in decentralized derivatives.

---

## Raw Schema Data

```json
{
    "@context": "https://schema.org",
    "@type": "BreadcrumbList",
    "itemListElement": [
        {
            "@type": "ListItem",
            "position": 1,
            "name": "Home",
            "item": "https://term.greeks.live"
        },
        {
            "@type": "ListItem",
            "position": 2,
            "name": "Term",
            "item": "https://term.greeks.live/term/"
        },
        {
            "@type": "ListItem",
            "position": 3,
            "name": "Push Based Data Feed",
            "item": "https://term.greeks.live/term/push-based-data-feed/"
        }
    ]
}
```

```json
{
    "@context": "https://schema.org",
    "@type": "Article",
    "mainEntityOfPage": {
        "@type": "WebPage",
        "@id": "https://term.greeks.live/term/push-based-data-feed/"
    },
    "headline": "Push Based Data Feed ⎊ Term",
    "description": "Meaning ⎊ Push Based Data Feed mechanisms provide proactive, low-latency price updates essential for the stability and efficiency of decentralized derivatives. ⎊ Term",
    "url": "https://term.greeks.live/term/push-based-data-feed/",
    "author": {
        "@type": "Person",
        "name": "Greeks.live",
        "url": "https://term.greeks.live/author/greeks-live/"
    },
    "datePublished": "2026-03-11T12:41:33+00:00",
    "dateModified": "2026-03-11T12:42:46+00:00",
    "publisher": {
        "@type": "Organization",
        "name": "Greeks.live"
    },
    "articleSection": [
        "Term"
    ],
    "image": {
        "@type": "ImageObject",
        "url": "https://term.greeks.live/wp-content/uploads/2025/12/algorithmic-trading-microstructure-low-latency-execution-venue-live-data-feed-terminal.jpg",
        "caption": "A sleek, curved electronic device with a metallic finish is depicted against a dark background. A bright green light shines from a central groove on its top surface, highlighting the high-tech design and reflective contours. This image conceptualizes the high-performance operational requirements of algorithmic execution in modern financial markets. The green light signifies a live data feed and active position monitoring within a low-latency trading terminal. The device represents the complex layers of market microstructure where high-frequency trading strategies are deployed to manage risk exposure for sophisticated derivatives. It captures the essence of efficient order routing and execution venue selection, crucial for minimizing slippage and optimizing notional value calculations in a high-leverage environment. This streamlined design reflects the focus on speed and precision in a decentralized exchange setting."
    },
    "keywords": [
        "Accurate Price Signals",
        "Asian Options Valuation",
        "Asynchronous Data Delivery",
        "Automated Liquidation Mechanisms",
        "Automated Liquidation Processes",
        "Automated Market Makers",
        "Barrier Options Trading",
        "Blockchain Data Feeds",
        "Blockchain Price Discovery",
        "Borrowing and Lending Markets",
        "Collateralized Debt Positions",
        "Community Driven Development",
        "Cross-Chain Data Transmission",
        "Crypto Derivatives Pricing",
        "Crypto Option Settlement",
        "Crypto Options Trading",
        "Cryptocurrency Derivatives",
        "Cryptographic Data Verification",
        "Data Access Control Mechanisms",
        "Data Aggregation Techniques",
        "Data Feed Architecture",
        "Data Feed Governance",
        "Data Feed Scalability",
        "Data Feed Security",
        "Data Integrity Verification",
        "Data Latency Reduction",
        "Data Ownership Rights",
        "Data Privacy Considerations",
        "Data Provider Reputation",
        "Data Security Protocols",
        "Data Source Validation",
        "Data Transmission Protocols",
        "Decentralized Autonomous Organizations",
        "Decentralized Data Availability",
        "Decentralized Data Governance",
        "Decentralized Data Infrastructure",
        "Decentralized Data Oracles",
        "Decentralized Data Verification",
        "Decentralized Derivatives",
        "Decentralized Exchange Data",
        "Decentralized Finance Infrastructure",
        "Decentralized Finance Protocols",
        "Decentralized Identity Management",
        "Decentralized Insurance Protocols",
        "Decentralized Lending Protocols",
        "Decentralized Liquidity Aggregation",
        "Decentralized Oracle Network",
        "Decentralized Oracle Services",
        "Decentralized Risk Management",
        "Decentralized Trading Platforms",
        "Delta Hedging Techniques",
        "Derivative Pricing Models",
        "Derivative Protocol Risk Management",
        "Derivative Protocol Stability",
        "Digital Options Strategies",
        "Efficient Market Operation",
        "Exotic Options Pricing",
        "Failure Propagation",
        "Financial Derivatives",
        "Financial History Lessons",
        "Fundamental Network Analysis",
        "Gamma Scalping Strategies",
        "Governance Token Voting",
        "High Frequency Onchain Trading",
        "Implied Volatility Calculation",
        "Institutional Crypto Trading",
        "Instrument Type Analysis",
        "Leverage Dynamics",
        "Liquidation Functions",
        "Liquidation Penalties",
        "Liquidity Pool Management",
        "Low Latency Updates",
        "Low-Latency Price Feeds",
        "Macro-Crypto Correlations",
        "Margin Call Automation",
        "Margin Engine Optimization",
        "Market Data Analytics",
        "Market Data Streams",
        "Market Evolution Trends",
        "Market Manipulation Prevention",
        "Market Microstructure",
        "Market Volatility Modeling",
        "Off Chain Providers",
        "Off-Chain Computation",
        "On-Chain Data",
        "On-Chain Governance Models",
        "On-Chain Settlement Layers",
        "Options Trading Strategies",
        "Oracle Data Accuracy",
        "Oracle Data Validation",
        "Oracle Network Design",
        "Oracle Network Incentives",
        "Oracle Networks",
        "Oracle Security Protocols",
        "Order Flow Dynamics",
        "Over-Collateralization Ratios",
        "Price Averaging Algorithms",
        "Price Deviation Thresholds",
        "Price Discovery Mechanisms",
        "Price Feed Deviation Thresholds",
        "Price Feed Optimization",
        "Price Feed Reliability",
        "Price Feed Resilience",
        "Price Feed Transparency",
        "Proactive Data Updates",
        "Protocol Interconnectivity",
        "Protocol Physics",
        "Protocol Upgrades and Maintenance",
        "Push Data Feeds",
        "Quantitative Finance Models",
        "Reactive Data Requests",
        "Real-Time Market Monitoring",
        "Real-Time Pricing",
        "Real-Time Settlement",
        "Regulatory Arbitrage Strategies",
        "Rho Sensitivity Assessment",
        "Risk Pooling Mechanisms",
        "Risk Sensitivity Analysis",
        "Self Sovereign Identity Solutions",
        "Smart Contract Automation",
        "Smart Contract Coverage",
        "Smart Contract Integration",
        "Smart Contract Margin Engines",
        "Smart Contract Security Audits",
        "Spot Price Accuracy",
        "Staking Rewards Mechanisms",
        "Synchronous Oracles",
        "Systems Risk Management",
        "Theta Decay Analysis",
        "Time Interval Updates",
        "Time Weighted Average Prices",
        "Tokenomics Incentives",
        "Trading Venue Evolution",
        "Trend Forecasting Analysis",
        "Value Accrual Mechanisms",
        "Vega Exposure Management",
        "Volatility Mitigation",
        "Volatility Risk Management",
        "Volatility Surface Analysis",
        "Volume-Weighted Average Prices",
        "Weighted Price Feeds",
        "Yield Farming Strategies",
        "Zero-Knowledge Data Proofs"
    ]
}
```

```json
{
    "@context": "https://schema.org",
    "@type": "WebSite",
    "url": "https://term.greeks.live/",
    "potentialAction": {
        "@type": "SearchAction",
        "target": "https://term.greeks.live/?s=search_term_string",
        "query-input": "required name=search_term_string"
    }
}
```

```json
{
    "@context": "https://schema.org",
    "@type": "WebPage",
    "@id": "https://term.greeks.live/term/push-based-data-feed/",
    "mentions": [
        {
            "@type": "DefinedTerm",
            "@id": "https://term.greeks.live/area/deviation-threshold/",
            "name": "Deviation Threshold",
            "url": "https://term.greeks.live/area/deviation-threshold/",
            "description": "Threshold ⎊ A deviation threshold is a parameter used in decentralized finance protocols to define the maximum acceptable price change before an action is triggered."
        },
        {
            "@type": "DefinedTerm",
            "@id": "https://term.greeks.live/area/smart-contract/",
            "name": "Smart Contract",
            "url": "https://term.greeks.live/area/smart-contract/",
            "description": "Code ⎊ This refers to self-executing agreements where the terms between buyer and seller are directly written into lines of code on a blockchain ledger."
        },
        {
            "@type": "DefinedTerm",
            "@id": "https://term.greeks.live/area/decentralized-oracle/",
            "name": "Decentralized Oracle",
            "url": "https://term.greeks.live/area/decentralized-oracle/",
            "description": "Oracle ⎊ A decentralized oracle serves as a critical infrastructure layer that securely connects smart contracts on a blockchain with external, real-world data sources."
        }
    ]
}
```


---

**Original URL:** https://term.greeks.live/term/push-based-data-feed/