According to the latest announcement, SQD and Google Cloud are planning significant expansion of their blockchain analytics partnership beyond the initial integration. The collaboration is expected to grow with support for more blockchain networks and agentic features, as reported by multiple sources. SQD's enterprise arm SQD 360 continues to provide the indexing system and data pipelines behind datasets available through Google Cloud Web3 Blockchain Analytics. The partnership aims to help establish validated, openly accessible blockchain data as infrastructure for enterprise analytics and web3 applications, marking a substantial expansion from the current 10-network integration. SQD CEO Wanja Oberhof described this as "a defining step for SQD, and a strong signal that enterprise-grade blockchain data has arrived," emphasizing that the partnership builds toward open access to public Web3 data as a foundation the whole ecosystem can build on. As reported by SQD, the company plans to expand capabilities, add more chains, and introduce agentic enhancements to make blockchain analytics accessible at enterprise scale.
As reported by SQD, each block undergoes six cryptographic checks before the information reaches BigQuery. The process includes comparing data from multiple sources and checking transaction roots and state roots, which are cryptographic values used to confirm whether a block's records match the underlying blockchain state. SQD said the checks are intended to catch missing, incorrect, or inconsistent records before they enter analytics pipelines. Fresh blocks must also pass the validation process as the datasets continue to update. The company emphasizes that this validation ensures the accuracy and integrity of the data before it reaches Google Cloud's analytics platform. SQD frames this as the same standard that's made the company a go-to backend for production applications, describing it as the kind of layered validation typically associated with institutional-grade financial systems rather than typical blockchain indexers. "Blockchain data should be complete, accurate, and provable and most importantly of all, openly accessible," said Wanja Oberhof, CEO of SQD, highlighting the importance of comprehensive validation.
According to SQD, once loaded into BigQuery, the records become available through the same cloud environment used for business intelligence, machine learning, and large-scale data analysis. Developers can examine blockchain activity without building an indexer, storing an entire chain history, or maintaining separate infrastructure for each network. Google Cloud describes Blockchain Analytics as a service that places indexed blockchain information in BigQuery for analysis through SQL, allowing users to query blocks, transactions, event logs, and call traces without operating nodes or creating an indexer for every protocol. The integration provides seamless access to SQD-validated onchain data for enterprise and web3 applications. SQD 360 isn't a separate product line but a hardened version of the indexing technology SQD has run since launch, designed to plug straight into workflows companies already use rather than asking enterprises to bolt on extra tooling.
SQD delivers validated, real-time blockchain data across more than 225 networks through one streaming API, giving applications, institutions and even AI agents a single point of access to verifiable on-chain activity instead of stitching together dozens of separate data feeds. This breadth matters for enterprise clients who work across multiple chains and don't want to manage a patchwork of custom integrations for each one. Pairing that reach with BigQuery's analytics tools effectively turns a sprawling, fragmented blockchain data landscape into something queryable from a single, familiar environment. The partnership positions enterprise-grade on-chain data as something big cloud platforms are willing to build products around, moving it from a niche developer tool to something mainstream enterprises can use without specialized crypto data teams.
SQD Network provides decentralized infrastructure for querying the growing volume of data generated by blockchains and web3 applications. Its network of data providers, workers, and gateways distributes datasets across nodes, with SQD tokens used to secure operators, reward data providers, and manage access to network resources. According to SQD Network documentation, data providers submit blockchain records before a scheduler assigns pieces of each dataset to worker nodes, with each worker bonding 100,000 SQD tokens to register on the network. This decentralized approach ensures scalable and secure data processing across the network. Founded in 2021 in Zug, Switzerland, SQD already powers production infrastructure for clients including Morpho, GMX, PancakeSwap, RAILGUN, zkVerify and Deutsche Telekom, suggesting this Google Cloud integration is less a one-off experiment than an extension of infrastructure SQD has already proven at scale.
According to SQD, the companies did not disclose financial terms, revenue-sharing arrangements, or service-level commitments tied specifically to the partnership. The collaboration is expected to grow with support for more blockchain networks and agentic features, as reported by multiple sources. SQD plans to add more networks and tools designed for AI agents, with agent-based access forming part of the planned work. In May, earlier coverage reported that Solana Foundation and Google Cloud launched Pay.sh, which lets AI agents pay for APIs with stablecoins and supports services including BigQuery, Gemini and Vertex AI. The partnership represents a significant step toward establishing validated blockchain data as foundational infrastructure for enterprise analytics and web3 applications, with SQD describing this stage as a foundation rather than a finished product with expanded capabilities and agentic enhancement listed on its roadmap.
