How to buy The Graph (GRT) in Singapore

What is The Graph?

The Graph is a decentralized indexing protocol designed to organize and query blockchain data, primarily from networks like Ethereum, Polygon, Arbitrum, Optimism, and more. It enables developers to build and consume open APIs called subgraphs, which make querying on-chain data fast, reliable, and cost-efficient. Instead of building bespoke indexing infrastructure, developers can rely on The Graph’s marketplace of Indexers, Curators, and Delegators to deliver high-quality, incentivized data services.

At its core, The Graph solves a fundamental pain point in Web3: raw blockchain data is cumbersome to parse and query directly. Each block contains low-level state transitions and event logs; extracting application-specific views (e.g., “total value locked in a DeFi protocol” or “all NFTs minted by an address”) requires indexing pipelines. The Graph abstracts this with a standardized specification (the subgraph manifest), a robust query language (GraphQL), and a decentralized network that rewards accurate, available data.

GRT is The Graph’s native utility token. It’s used for staking by Indexers, curation signaling by Curators, and delegation by token holders who want to support network security and earn a share of query fees and indexing rewards. GRT also aligns incentives to ensure data integrity and performance across the network.

How does The Graph work? The tech that powers it

• Subgraphs: Developers write subgraphs, which define:

  • Data sources: contracts and networks to watch, plus event handlers.
  • Mappings: deterministic data transformation logic (usually in AssemblyScript) that processes events and stores results.
  • Schema: an entity model of the indexed data exposed via GraphQL. Once deployed, subgraphs can be queried by any application via GraphQL endpoints.

• Indexers: Independent node operators who stake GRT and run Graph Node software to index subgraphs. Indexers decide which subgraphs to serve based on economic signals and potential query fees. They earn:

  • Query fees: paid by consumers (directly or via gateways).
  • Indexing rewards: protocol emissions allocated to subgraphs, distributed to Indexers proportionally to stake and performance. Indexers are slashed if they behave maliciously (e.g., serve incorrect data) or fail to meet protocol requirements.

• Curators: Domain experts who review subgraphs and signal on their quality by depositing GRT into bonding curves associated with subgraphs. Curator signal helps Indexers choose which subgraphs to index. Curators earn a share of query fees from subgraphs they signal on, aligning incentives for high-quality data sources.

• Delegators: GRT holders who delegate their tokens to Indexers to increase effective stake and improve network capacity. Delegators share in Indexer rewards without running infrastructure, but they are exposed to Indexer performance and potential slashing.

• Gateways and query market: Applications can query subgraphs through The Graph’s decentralized network or via a gateway (like the Graph Studio/Hosted Service transition path). The query market routes requests to Indexers capable of serving the relevant subgraphs with low latency. Payments are typically managed via microtransactions or prepaid tabs to streamline UX.

• Verifiability and integrity: The network relies on cryptoeconomic incentives, reputation, and dispute resolution to ensure correctness. While GraphQL responses themselves are not zero-knowledge proofs, the protocol’s staking, slashing, and Fishermen-style dispute mechanisms discourage dishonest behavior. Research and roadmap items continue to explore more trust-minimized verification over time.

• Multi-chain support and modular architecture: The Graph started with Ethereum and has expanded to multiple EVM and non-EVM chains (e.g., NEAR support via Firehose/Substreams components). Newer components like Substreams (parallelized, Rust-based data pipelines) and Firehose (high-throughput, chain-agnostic block ingestion) massively improve indexing performance, determinism, and scalability. These tools are particularly beneficial for indexing high-throughput chains and complex DeFi/NFT protocols.

• Developer workflow:

  1. Author a subgraph manifest and schema.
  2. Write mapping functions to transform on-chain events into entities.
  3. Deploy the subgraph to The Graph Network (or through Graph Studio).
  4. Curators may signal; Indexers decide to index it based on signal and expected fees.
  5. DApps query via GraphQL endpoints for fast, structured responses.

What makes The Graph unique?

• Decentralized data layer for Web3: The Graph turns the traditionally centralized indexing layer into an open marketplace, reducing single points of failure for critical infrastructure used by DeFi, NFTs, DAOs, and gaming.

• Economic alignment for data quality: Curator signaling and Indexer staking create market-driven incentives to index the most useful, accurate subgraphs, which improves data freshness and integrity.

• Developer-friendly standards: Subgraphs provide a shared, composable API format across chains. Developers benefit from a growing catalog of audited, battle-tested subgraphs they can fork or integrate, accelerating time to market.

• Performance innovations: Firehose and Substreams enable parallel, reproducible indexing and replay, addressing pain points like reorg handling and slow catch-up on high-activity chains. This is a significant technical advantage over ad hoc indexers.

• Broad ecosystem adoption: Thousands of subgraphs power leading dApps, wallets, analytics dashboards, and DAO tools. This network effect strengthens the reliability and economic sustainability of the protocol.

The Graph price history and value: A comprehensive overview

Note: Always cross-reference up-to-date market data from reputable sources such as The Graph’s official docs, Messari research, CoinGecko, or CoinMarketCap before making decisions.

• Launch and early phases: GRT launched in late 2020 alongside the Hosted Service era, when most subgraphs were served centrally while the decentralized network and staking mechanisms matured. The token saw significant volatility common to new infrastructure tokens.

• Bull and bear cycles: Like most crypto assets, GRT’s price has historically tracked broader market sentiment. It rallied during periods of heightened interest in DeFi and Web3 infrastructure, and retraced during market downturns.

• Utility drivers:

  • Staking demand by Indexers and Delegators.
  • Curator signaling on high-demand subgraphs.
  • Query fee growth as more dApps rely on decentralized endpoints.
  • Expansion to additional chains, increasing addressable market.
  • Protocol upgrades improving efficiency and performance.

• Supply dynamics: GRT includes protocol emissions to incentivize indexing, which can be offset by burn mechanisms tied to fees and network usage. Over time, as the network scales and query fees grow, the model aims to trend toward sustainable, usage-driven value accrual.

Given crypto’s inherent volatility, GRT’s price history features sharp expansions and drawdowns. Understanding utility adoption (subgraph growth, query volumes, Indexer capacity) is generally more informative than short-term price action when assessing long-term value.

Is now a good time to invest in The Graph?

This is not financial advice. Consider these factors and perform your own research:

• Fundamentals and adoption:

  • Developer traction: Growth in subgraphs deployed and active queries indicates real demand for GRT-denominated services.
  • Ecosystem breadth: Support for more chains and integrations with major dApps increases network stickiness.
  • Decentralization and reliability: Distribution of Indexers, slashing events (if any), and uptime metrics matter for infrastructure-grade trust.

• Token economics:

  • Staking yields vs. risk: Indexer and Delegator APRs fluctuate with network usage and token price. Consider lockups, unbonding periods, and slashing risk.
  • Fee sustainability: A healthy share of Indexer/Curator/Delegator revenue from query fees (rather than emissions) is a positive sign of maturing demand.

• Technology roadmap:

  • Adoption of Substreams/Firehose at scale for high-throughput chains.
  • Improvements in verifiability and trust-minimized query proofs.
  • Expansion to non-EVM ecosystems and better data composability.

• Competitive landscape:

  • Centralized indexers and proprietary APIs are simpler but introduce vendor risk.
  • Alternative decentralized data networks exist, but The Graph’s first-mover advantage and tooling maturity are notable.

• Market conditions:

  • Macro crypto cycles heavily influence risk assets.
  • Dollar-cost averaging and diversification can mitigate timing risk for long-term theses.

If you believe decentralized data infrastructure is a core layer of Web3 and you see growing, sticky usage of subgraphs across chains, a long-term, thesis-driven allocation may be reasonable. However, assess your risk tolerance, time horizon, and portfolio balance, and consult multiple reputable sources before investing.

Sources and further reading:

• The Graph Docs and Blog (protocol architecture, subgraphs, Indexers, Curators, Delegators)
• Messari research profiles on The Graph (token economics and market overview)
• CoinGecko/CoinMarketCap (market data, supply, and historical charts)
• Developer resources on Subgraphs, Substreams, and Firehose in The Graph documentation