Decentralized Social Graph Analytics

Continuously index and map relationships (follows, likes, shares, mints) across major social protocols (Lens, Farcaster) with sub-2-second latency. Enables live community dashboards and trend detection.

Define and track KPIs specific to your dApp—engagement velocity, influencer reach, content virality scores, and wallet cohort analysis—through a no-code dashboard or full API access.

Proprietary algorithms identify inorganic growth, bot networks, and spam campaigns across social graphs. Protect your platform's integrity and ensure authentic user growth.

Resolve fragmented user identities (ENS, Lens handles, Farcaster FIDs) into unified profiles. Understand a user's complete social footprint across the decentralized web.

Leverage historical on-chain social data to model community growth, predict token engagement cycles, and forecast content performance using machine learning models.

Fully managed infrastructure with 99.9% uptime SLA, SOC 2 compliance, and dedicated data warehousing. Export raw or aggregated data to Snowflake, BigQuery, or your data lake.

Increase user retention by 40%+ with dynamic content feeds powered by on-chain social graphs and interaction history. We deliver the recommendation engine, not just the data.

Launch targeted airdrops and governance with 90%+ reduction in Sybil attacks. Our graph clustering identifies authentic user clusters and high-value community members.

Identify top 1% of influencers and high-signal communities to drive partnerships and sponsored content. We provide the engagement scoring model and wallet-level analytics.

Unify user identities across Lens, Farcaster, and EVM chains into a single actionable profile. We handle the schema mapping and data unification pipeline.

Proactively re-engage at-risk users and double down on high-potential cohorts. We deliver predictive models trained on historical on-chain social behavior.

Generate immutable, verifiable reports for token distributions, community grants, and DAO voting. Built with privacy-preserving zero-knowledge proofs where required.

We map your data requirements to on-chain and off-chain sources (Lens Protocol, Farcaster, ENS) and design a scalable data ingestion and indexing architecture.

Build custom data oracles and subgraphs to extract social interactions. We develop with Solidity 0.8+ and OpenZeppelin patterns, ensuring security from day one.

Implement the core analytics logic—calculating influence scores, mapping follower graphs, and generating insights—using battle-tested frameworks like The Graph and Ponder.

Deploy to a staging environment matching mainnet conditions. All smart contracts and critical logic undergo a formal internal security review before launch.

We handle the mainnet deployment and establish real-time monitoring dashboards for data pipeline health, indexer sync status, and API performance.

Receive dedicated technical support, performance reports, and priority development slots for new features based on your evolving analytics needs.