SQD

Overview

SQD market snapshot: Price $0.026739, market capitalization $34.98M, and reported 24-hour volume $1.51M.

Trading activity: Reported 24-hour volume equals 4.33% of market capitalization. The local markets snapshot lists BitMart, HTX and Bitunix among venues with observed trading activity.

YearBull indicators: YearBull Rank #4,909. Bull Score 32/100. YB Market Risk Low. This relative market-volatility label is not an investment-safety assessment. Cycle Early. Observed price change: 24h -6.92% · 7d -10.98% · 30d -23.46%.

Values are descriptive and should be read together rather than as a price forecast. Read the YearBull methodology. Snapshot date: 2026-10-07. Data history: 90 days available in the latest 90-day window.

Methodology responsibility: YearBull’s analytical methodology and presentation rules are developed and maintained by Alan Zelvin, Founder & Lead Crypto Researcher. This note identifies responsibility for the methodology; it does not attribute authorship of this data snapshot.

What is SQD (SQD)?

YearBull Project Summary: SQD (SQD) is tracked by YearBull under the source identifier subsquid. Source categories place the asset in the AI Cryptocurrencies universe, with additional labels including Artificial Intelligence (AI), Big Data, Analytics. Category labels describe market context; they do not prove project activity, adoption, or investment quality.

Source description

“Subsquid Network is an innovative decentralized data lake and query engine designed to offer developers performant and permissionless access to data, aiming to build a neutral and open internet rooted in Web3 principles. Secured by ZK proofs, the Subsquid network boasts a modular architecture that enables exceptional scalability and developer convenience optimized for blockchain indexing, dApp development, and analytics. Subsquid is a response to unscalable and rigid monolithic indexing frameworks that had previously gained popularity and market traction among Web3 developers. Today, these frameworks are struggling to adapt in a rapidly evolving blockchain environment. Additionally, the network serves as a highly efficient and decentralized alternative to centralized infrastructure firms, including large RPC and API providers.”

This source-supplied description may contain old, promotional, or unverified claims and is not YearBull editorial analysis.

SQD (SQD) project facts

Official links and contract records appear in Key Facts. Project details can change, so verify current information with the project.

SQD (SQD) FAQ

How does Subsquid position its decentralized data lake for Web3 developers?

The project presents Subsquid Network as a decentralized data lake and query engine intended to provide developers with performant, permissionless access to blockchain data. It positions this model as a neutral alternative to relying on centralized infrastructure providers, while emphasizing suitability for blockchain indexing, decentralized application development, and analytics.

What role does the network’s modular architecture play in its proposed indexing model?

Subsquid states that its modular architecture is designed to improve scalability and developer convenience. The project contrasts this approach with rigid, monolithic indexing frameworks, which it says can struggle to adapt as blockchain environments evolve. The stated goal is to give developers a more flexible foundation for building indexing and analytics workflows.

How are zero-knowledge proofs used in Subsquid Network’s stated design?

The project says that Subsquid Network is secured by zero-knowledge proofs. In its stated model, these proofs support confidence in the network’s decentralized data-processing framework while the broader architecture focuses on scalable access and querying. The precise proof system, security assumptions, and operational details are not specified here.

Which developer applications does Subsquid Network specifically target?

Subsquid identifies blockchain indexing, decentralized application development, and analytics as key application areas. Its stated purpose is to help developers query and work with blockchain data through a permissionless infrastructure layer, rather than depending exclusively on centralized RPC or API providers. The project does not specify individual applications or implementation examples.

What problem does Subsquid say it addresses in existing Web3 data infrastructure?

Subsquid says it responds to limitations in previously popular monolithic indexing frameworks, particularly their rigidity and difficulty adapting to a rapidly changing blockchain environment. It also presents itself as a decentralized alternative to centralized infrastructure companies, including large RPC and API providers. These are the project’s stated positioning claims, not an independent assessment of comparative performance.

SQD metric comparison

This comparison is a stored snapshot generated 2026-10-05 06:30 UTC from 275 daily observations available from 2025-12-30 through 2026-10-05. It is separate from the latest analytical cards above. Percentiles compare the snapshot value with that day's analytical universe; a higher percentile means a larger observed value, not necessarily a better investment characteristic.

MetricSnapshot30d before90d beforeChange vs 30dUniverse percentile
Price$0.0295$0.0343$0.0319-14.1%n/a
Market cap$38.52M$44.34M$36.47M-13.1%P93.1
YearBull Rank#3,119#1,853#1,450Lower by 1,266P65.0
Bull Score36/10039/10058/100-3.0 ptsP27.0
Turnover3.14%1.81%4.56%+1.3 ptsP71.7
YB Market RiskLowLowLowUnchangedn/a
CycleEarlyEarlyEarlyUnchangedn/a

Median absolute daily movement 2.64%; distance from the highest local daily price -69.9%; circulating supply change +39.1%. These measurements are descriptive and do not predict future direction.

Editorial research. Identity, project facts, sources, and risks below belong to the dated editorial review. The live analytical snapshot above may be newer and is generated separately from stored market data.

SQD (SQD) research overview

SQD (SQD) is tracked by YearBull under the source identifier subsquid. Source categories place the asset in the AI Cryptocurrencies universe, with additional labels including Artificial Intelligence (AI), Big Data, Analytics. Category labels describe market context; they do not prove project activity, adoption, or investment quality.

Market structure and supply

Observed market capitalization is about $41.58 million and reported 24 hour volume is about $1.33 million. That volume equals 3.20% of market capitalization in the dated snapshot. Current circulating supply is 1,299,379,911. The recorded maximum supply is 1,337,000,000. Circulating supply changed +38.2% across the available historical window. Reported volume and supply fields can change through source revisions, issuance, burns, migrations, or venue coverage.

Key risks and limits

Liquidity depth, holder concentration, contract or network controls, token issuance, venue availability, governance, and operational dependencies remain material. High YearBull Risk appeared on 0.4% of stored observations. Historical metrics describe the available YearBull record; they do not predict future returns. Contract addresses, network support, custody, and venue availability should be verified before use.

Primary sources and review scope

YearBull methodology | Official project website | Source repository. Identity, categories, supply, and historical market fields were reviewed from locally stored source records on 2026-09-12. The live analytical snapshot may be newer than this editorial review.

SQD: The Token Behind Subsquid’s Decentralized Blockchain Data Network

SQD supports a data infrastructure network that stores, validates, and serves blockchain data to developers. Its role extends beyond payments: the token is used for worker bonds, delegation, query capacity, rewards, and protocol governance, while the system still depends on data providers, gateways, software, and operational coordination.

What Subsquid is building

SQD Network is designed as a distributed data lake and query engine for blockchain data. Rather than asking developers to maintain archival nodes or repeatedly query conventional RPC endpoints, the system stores compressed data chunks across worker nodes and makes them available through Portal, an HTTP interface intended for batch extraction and streaming. The current documentation presents the network as supporting more than 140 blockchain networks, while the public website and repository describe a broader product stack that includes Portal, indexing SDKs, managed hosting, and the decentralized Network itself.

The intended users are developers building indexers, analytics products, wallets, DeFi applications, compliance tools, and data pipelines. Portal can be used as a managed endpoint, self-hosted with a local infrastructure setup, or accessed through the Squid and Pipes TypeScript SDKs. This makes SQD closer to infrastructure for applications than to a consumer-facing blockchain with its own execution environment.

How the network handles data

The documented architecture separates several roles. Data providers ingest and publish datasets; a scheduler distributes data chunks; workers store and query their assigned portions; gateways receive requests from data consumers; and a rewards manager calculates claims. Portal gathers data from multiple workers and returns it through a streaming API. The current documentation also describes handling for pagination, finality, and reorganisation compensation, which are practical concerns for applications reading live blockchain data.

SQD’s validation model combines technical checks with economic penalties. The whitepaper describes worker-signed responses and a process through which suspicious responses can be submitted for on-chain validation. Depending on the dataset and implementation, the proposed validation approaches include authority-based checks, optimistic challenge mechanisms, or zero-knowledge proofs. These are design mechanisms rather than a guarantee that every query is individually verified on-chain; routine use still depends on the network’s software, data providers, gateways, and challenge procedures functioning as intended.

What SQD does inside the system

SQD is an ERC-20 protocol token used to coordinate network participation. Workers must bond tokens to register and can be penalised for provable protocol violations. Token holders can delegate SQD to workers, providing a curation signal and sharing in rewards. Data consumers can lock SQD to obtain query capacity or higher rate limits, while token holders are also described as participants in governance over protocol changes and other proposals.

This creates several distinct demand channels, but they should not be treated as interchangeable. A worker bond secures infrastructure participation; delegation expresses a preference for a worker; and gateway locking determines access capacity. The token therefore links security, resource allocation, and rewards, but the strength of those use cases depends on actual network traffic, worker economics, available datasets, and the rules implemented by the contracts and network software.

Rewards, supply, and incentives

The published token economics allocate 10% of total supply to worker rewards, alongside allocations for backers, the team, treasury activities, and liquidity. The documentation describes an initial rewards pool and a three-year bootstrapping period with a capped supply and reward schedule. It also states that future issuance and the inflation schedule may be determined through governance after that period. That design leaves the long-term monetary policy partly dependent on future decisions rather than fixing every issuance parameter permanently at launch.

Worker rewards are described as depending on factors including liveness, traffic served, stake, tenure, and network capacity. Delegators receive a portion of a worker’s reward allocation, while workers retain incentives linked to their bond and performance. These formulas are intended to discourage idle or unreliable infrastructure, but they also mean that returns depend on network utilisation and operational performance rather than on token ownership alone.

Governance and control points

SQD documentation assigns token holders a governance role, including voting on protocol changes and other proposals. The public repository identifies Solidity contracts for worker bonds, delegated staking, gateway registration, and on-chain rewards on Arbitrum. However, the available materials do not establish a complete, independently auditable description of voting thresholds, proposal execution, delegation rules, emergency powers, or the exact scope of token-holder control. Those details should be verified from the deployed contracts and any current governance documentation before treating SQD as broadly community-controlled.

There is also a meaningful distinction between the project’s current network overview and the older whitepaper. The overview presents a permissionless network in mainnet, while the whitepaper describes an earlier bootstrap phase in which Subsquid Labs acted as the sole data provider and retained certain operational responsibilities. The whitepaper itself says its material is a broad overview and not a commitment to deliver particular functionality. Readers should therefore treat decentralisation as an implementation state to monitor, not simply as a label.

Practical limitations and dependencies

SQD depends on more than the token contract. Reliable service requires accurate source data, functioning workers, schedulers, gateways, storage, query software, and contract infrastructure. The project’s open-source repositories reduce some vendor-lock-in concerns, but self-hosting still requires technical capacity and appropriate hardware. Managed Portal access introduces a separate dependency on the operator providing the endpoint, even when the underlying data network is permissionless.

The Arbitrum token page identifies the SQD contract as a verified ERC-20 and shows bridge-related functions, but it also reports that no contract security audit had been submitted on that explorer page. That is not proof that no audit exists anywhere, but it is a reason to distinguish source-code verification from a completed independent security review. Cross-chain deployments also create address, bridge, custody, and liquidity risks that users must check separately on each network.

Key takeaways

  • SQD is primarily an infrastructure token for a blockchain-data network, not the native gas asset of a general-purpose execution chain.
  • The token is used for worker bonds, delegation, query-capacity locking, rewards, and stated governance participation.
  • The architecture combines distributed storage and query workers with Portal, SDKs, gateways, schedulers, and on-chain contracts.
  • Reward outcomes depend on worker performance, network utilisation, stake, traffic, and the rules governing the rewards pool.
  • The project’s current decentralisation claims should be evaluated against the older bootstrap assumptions described in the whitepaper.
  • Official pages use different supported-network counts, so network coverage should be checked against the current documentation rather than treated as a fixed figure.

Risks and open questions

  • Governance powers, voting thresholds, proposal execution, and emergency controls are not fully specified in the reviewed public materials.
  • The network depends on accurate data providers and operational components, including workers, schedulers, gateways, storage, and Portal software.
  • The long-term issuance policy may change through governance after the initial rewards period.
  • Worker and delegator economics depend on actual query demand, traffic distribution, liveness, stake concentration, and reward parameters.
  • Cross-chain token use introduces contract-address, bridge, custody, liquidity, and network-specific operational risks.
  • The reviewed Arbitrum explorer page verifies the token source code but reports no submitted contract security audit on that page.

YearBull Rank update

Latest available YearBull Rank for subsquid: #4909.

Rank timeline (last 365 days)

Rank movement (time windows).

Reading rule: smaller rank numbers are better.

  • 7d window (2026-09-30): #2933 → #4909 (down by 1976).
  • 30d window (2026-09-07): #2461 → #4909 (down by 2448).

YearBull Rank is an internal ordering on YearBull that positions a coin relative to the rest of the tracked universe. A smaller rank number indicates a stronger position at that moment.

Liquidity context: peer movement can shift relative placement even without news.

Venue read: improvement with higher churn can be a rotation phase.

Stability posture: the same move can be stable in one market and fragile in another.

Market phase: recent movement can fit a transition rather than a clean trend.

Editorial note: This analysis was prepared by the YearBull research team under the direction of Alan Zelvin, Founder and Lead Crypto Researcher. The assessment follows YearBull’s internal research methodology and editorial standards. Methodology · Editorial Policy
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SQD (SQD) Markets

Venue refresh pending. Markets last checked: 2026-07-26. The next refresh is queued in the hourly updater. Venue listings and volumes are stored snapshots, not live quotes.
Exchange Top Pair Stored 24h volume (snapshot) Trust Rank
BitMart SQD/USDT $620.11K #92
HTX SQD/USDT $445.79K #52
Bitunix SQD/USDT $69.06K #14
WEEX SQD/USDT $60.68K #43
MEXC SQD/USDT $55.82K #8
Coinbase Exchange SQD/USD $48.97K #1
PancakeSwap V3 (BSC) SQD/USDC $44.63K #172
XT.COM SQD/USDT $42.66K #64
KCEX SQD/USDT $37.08K #50
BingX SQD/USDT $28.39K #21

Listings are ordered by reported snapshot volume. Trust Rank is an external venue-quality indicator; it is not an endorsement or a solvency guarantee.