GRT is the native token of The Graph. It is a decentralized protocol that indexes and queries blockchain data using open APIs called subgraphs. It allows dApps to access on-chain data without relying on centralized services (Coinbase, 2024). In fact, The Graph functions like Google for blockchains. It processes billions of queries monthly and supports over 44,000 developers. Projects like Uniswap, Aave, and Decentraland use it to retrieve smart contract data in real time (Kraken Learn, 2022).
The GRT token is used to:
- Pay for queries
- Incentivize indexers, curators, and delegators
- Secure the network through staking
- Enable governance decisions on protocol upgrades
Now, according to Kriptomat (2025), GRT ensures that data across the network is curated, indexed, and served in a trustless, decentralized manner. It operates on a Proof-of-Stake (PoS) model, which not only supports scalability but also offers a more energy-efficient alternative to Proof-of-Work systems. Consequently, The Graph holds strategic importance in the evolution of Web3.
Graph Theory, History, Applications and Vision
Graph theory is a foundational field in mathematics concerned with the study of graphs—structures made up of nodes (vertices) and connections (edges). It originated in 1736 when Leonard Euler solved the Konigsberg bridge problem. This marked the beginning of what would later become a major branch of discrete mathematics. Euler’s abstraction, which used land masses as nodes and bridges as edges, laid the groundwork for formal graph modeling—even though terms like “vertex” and “edge” had not yet been coined.
In fact, the term graph was first introduced in 1878 by James Sylvester, while significant advances followed in the 19th century. Arthur Cayley’s work on tree enumeration led to the well-known Cayley’s formula, establishing early foundations in graph counting. Moreover, problems such as the Four Color Conjecture, introduced by Francis Guthrie in 1852, pushed the boundaries of mathematical exploration into visual and computational reasoning.
Now, graph theory plays a critical role across various scientific and technical fields. As Taheri-Dehkordi (2024) states, its applications range from network science and transportation to genetics, medical diagnostics, and social systems analysis. For instance, the Traveling Salesman Problem and Kuratowski’s Theorem are direct applications of graph theory that address logistical optimization and planarity, respectively.
Unique Features of The Graph (GRT)
- Solves Blockchain Data Access Problems
In fact, blockchain data is hard to query directly. The Graph makes it easy by indexing it. - Uses Subgraphs for Structured Queries
Developers create subgraphs (open APIs) to define what data to extract and how.
Consequently, apps can access real-time blockchain data using GraphQL. - Supports a Fully Decentralized Architecture
No need for custom servers or centralized databases.
Now, dApps can stay fully on-chain while accessing off-chain-style queries. - Includes Specialized Network Roles
Indexers: Serve queries and earn GRT.
Curators: Flag high-quality subgraphs.
Delegators: Support trusted Indexers without running nodes. - Cobb-Douglas Rebate Function for Rewards
Moreover, contributor rewards are fairly split based on performance and value added. - Dual System: Hosted + Decentralized Service
Developers can use a hosted service to start, then migrate to the decentralized protocol. - This flexibility boosts adoption, as noted by CoinMarketCap (2022).
What Are Subgraphs and Why Are They Important?
A subgraph is a smaller section of a larger graph. It includes selected vertices and edges from the original graph, but keeps the original connections between those selected elements. Formally, if graph G = (V, E), then subgraph H = (V’, E’) where V’ ⊆ V and E’ ⊆ E (Symbio6, 2025).
In fact, subgraphs let you isolate and study parts of complex networks without needing to analyze the entire structure. This is especially useful when working with massive systems where full-scale analysis is impractical or resource-heavy. Now, subgraphs play a key role in many real-world applications. In social networks, they help detect communities and central influencers. In biology, they reveal clusters in protein or gene networks. In cybersecurity, they assist in detecting fraud or abnormal activity within financial systems (Symbio6, 2025).
Moreover, subgraphs form the backbone of blockchain indexing protocols like The Graph (GRT). Applications use subgraphs to filter and retrieve relevant blockchain data without scanning entire ledgers—making dApps more efficient and scalable.
Subgraphs are not just a theoretical concept—they offer real performance and clarity gains in fields like AI, transportation, supply chains, and data science. As Symbio6 (2025) concludes, subgraphs simplify analysis, enhance visual clarity, and drive faster, more focused decision-making in today’s data-rich environments.
How to Protect Your Assets—Crypto Wallet Security Best Practices
To secure your crypto assets, you must protect your private keys and minimize your attack surface. You should start by choosing the right wallet—Use cold wallets (like hardware or paper wallets) to store large holdings offline. Use hot wallets (like mobile or desktop apps) only for frequent transactions—and keep them updated.
Now, follow these core best practices:
- Encrypt private keys using strong standards like AES or ECC. Store them in secure environments like hardware modules or secure enclaves.
- Enable multi-factor authentication for wallet access to reduce the risk of a single point of failure.
- Avoid phishing by verifying dApp URLs, never sharing keys, and using wallets with scam-detection alerts.
- Secure your device with antivirus tools, firewall, and secure boot. Avoid public Wi-Fi for transactions.
- Set transaction approvals manually—never allow dApps to auto-sign.
- Limit logging and monitoring exposure by disabling sensitive data logs, even from third-party libraries.
- Back up wallets and recovery phrases securely—preferably offline and in multiple locations.
- Adopt multi-signature wallets for team-based control and risk distribution.
- Use account abstraction for custom on-chain rules and passwordless access via passkeys or WebAuthn.
- Regularly audit wallets—use both white-box (source code) and black-box (external attack simulation) approaches.
These steps help you reduce key theft, malware risks, and social engineering attacks. Once implemented, they create a layered defense—ensuring your digital assets remain safe even if one control fails.
The Graph Price Prediction 2025: GRT Poised for Future Expansion
According to CCN’s February 2025 analysis, GRT is expected to rebound alongside a broader market recovery. The platform’s recent upgrades—such as the migration from Ethereum to Arbitrum and the proposal of the GRC-20 data standard—have positioned it well for renewed growth. In fact, GRT peaked above $0.30 in December 2024 during a surge fueled by positive sentiment and technical developments.
Now, despite pulling back to around $0.1465, indicators such as a breakout attempt above the 0.786 Fibonacci level ($0.173) and RSI recovery suggest a potential trend reversal. CCN forecasts a price range between $0.25 and $1.50 in 2025, depending on sustained momentum, macro conditions, and Web3 adoption.
Moreover, growing integration with major DeFi platforms like Uniswap, Compound, and Aave, plus The Graph’s expanding role in indexing blockchain data, support bullish sentiment. If resistance at $0.211 and $0.297 is cleared, GRT may revisit previous highs. Conversely, failure to hold above $0.1285 could trigger further downside. The outlook remains cautiously optimistic, with GRT poised to benefit from Web3’s long-term expansion.
Is GRT a Good Investment for the Future of Web3?
GRT powers The Graph—a core infrastructure layer of Web3. It enables decentralized apps to access blockchain data efficiently through subgraphs, solving a real technical problem in the ecosystem. In fact, The Graph is already used by major platforms like Uniswap, Decentraland, and Synthetix.
Moreover, GRT has a defined utility. It’s required by Indexers, Curators, and Delegators to operate within the network. This built-in demand supports its tokenomics. Institutional confidence in Web3 is growing. As per the CoinMarketCap report, $27 billion has already been invested in Web3, with key figures like Jack Dorsey backing the shift.
Still, crypto remains volatile. GRT dropped from an all-time high of $2.84 (Feb 2021) to under $0.50 after the 2021 crash, though it shows signs of stabilizing. Experts see potential for recovery as Web3 adoption accelerates.
Final Thoughts
The Graph is well-positioned to power Web3’s data layer. It solves the core problem of accessing complex blockchain data without relying on centralized servers. In fact, major dApps already use it for real-time queries.
As demand for decentralized data grows, The Graph’s role will likely expand, making it a key part of Web3’s future.
