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By Agnostic
Offers a real-time analytics platform to help Stellar developers access and explore on-chain data easily with SQL-powered tools
What Agnostic Is
Agnostic is a real-time analytics platform purpose-built for blockchain data. It allows developers, analysts, and enterprises to query, visualize, and share insights on-chain—without building custom data pipelines or managing low-level infrastructure.
Agnostic is now going all-in on Stellar. We are building a dedicated indexing and analytics stack for the Stellar blockchain, providing a unified interface for accessing both core ledger data and emerging smart contract activity via Soroban.
Our mission is to make Stellar data programmable, observable, and shareable, using the full power of ClickHouse, SQL, and AI-assisted interfaces. Agnostic abstracts the raw complexity of blockchain data into intuitive analytics layers—enabling everything from simple balance lookups to cross-asset liquidity analytics or compliance dashboards
The Problem
Stellar is one of the most efficient and mature blockchain infrastructures, particularly suited for payments and stablecoins. However, visibility into Stellar’s on-chain activity remains fragmented and underutilized: - No common query language (Horizon is REST only) - No native SQL or BI integrations - Difficult to track smart contracts (Soroban) - Limited support for reproducible research
For developers and analysts accustomed to tools like Dune or Flipside on EVM, Stellar’s data tooling remains underdeveloped.
The Solution
Agnostic builds a complete data analytics stack for Stellar:
ch-stellar: A set of high-performance user-defined functions that enrich ClickHouse with Stellar-specific capabilities.
Open analytics tables: A set of analytics table in Apache Iceberg format produced by our ClickHouse-based ETL engine (AGT)
AGX: A data exploration UI leveraging ClickHouse that allows users to explore and query Stellar tables with SQL. AGX also empower users with an AI-powered query generation companion.
DGN: A collaborative platform for users to share and collaborate on Stellar data
Agnostic reduces development time and unlocks visibility for developers, liquidity providers, researchers, and institutions building on Stellar.
Yes
$121.0K
Metric: Target (6 months)
Stellar Data Indexed: 1B+ rows
Stellar Queries per Day: 250+
Public Datasets Published: 50+
Partner Dashboards Launched: 5
Dataset Contributors: 20+
Active Monthly Users: 500+
Prompt-to-Query Accuracy: 80%+ correct SQL generation
Dashboard Load Time: <2s for 95% of requests
1. Target Audience & Segmentation
Primary Segments
Developers on Stellar – Smart contract devs, DeFi builders, analytics engineers.
Stablecoin Issuers – USDC, EURC issuers seeking adoption and transparency tools.
DEXs – Phoenix, Soroswap, Aquarius (focus: liquidity tracking, volume analytics).
Financial Institutions – Banks, fintechs, remittance providers using Stellar rails.
Secondary Segments
Analysts & Researchers – Blockchain data analysts, DeFi market researchers.
Ecosystem Advocates – Community leaders, open-source contributors, educators.
2. Launch Strategy
Goal: Build credibility, drive early adoption, and seed the ecosystem with high-value datasets and dashboards.
2.1 Pre-Launch (4–6 Weeks)
Build Foundational Dashboards with early ecosystem partners (DEXs, wallets, stablecoin issuers).
Publish Stellar Data Schema & curated example queries per user persona (dev, trader, analyst, institution).
Develop AI-Ready Datasets for advanced analytics (LP behavior, volatility, on/off-ramp flow).
Secure Design Partners for feedback (target 3–5 across DEXs, wallets, stablecoin issuers).
2.2 Launch Activities
Dashboard Challenge: Community event to create public dashboards, with prizes for creativity, impact, and data depth.
Partner Co-Marketing: Joint blog posts, AMAs, and live demos with Phoenix, Soroswap, Unstoppable Wallet, Circle (USDC).
Workshops & Talks: Present at Stellar events, developer meetups, and online webinars.
Product Hunt & Developer Channels: Feature Stellar integration as a “new frontier” for blockchain analytics.
2.3 Post-Launch (First 3 Months)
Weekly Ecosystem Insights Pack: Publish market highlights and trends from Stellar data.
Integration Expansion: Embed analytics widgets directly in partner apps and DEX dashboards.
Case Studies: Document and promote partner wins (e.g., LP retention increase, better risk monitoring).
3. Community Activation
Objective: Turn Stellar developers and analysts into data contributors and evangelists.
Open Dataset Contributions: Clear guidelines for adding datasets; highlight contributors in community spotlights.
GitHub Stars Leaderboard: Public leaderboard for contributors ranked by dataset popularity.
Bounty System: Token or USDC rewards for high-value datasets (e.g., real-time arbitrage tracking, whale monitoring).
Early Access Perks: Contributors get priority access to “Team Spaces” and AI-assisted analytics.
Discord/Forum Activation: Dedicated Stellar analytics channel for discussion, collaboration, and support.
4. Partner Strategy
Objective: Build strategic alliances that make Agnostic a default analytics layer in the Stellar ecosystem.
Custom Dashboards & Alerts: Offer LP tracking, volatility signals, stablecoin flow monitoring.
Insight Packs: Weekly analytics reports for partners—ready-to-share with their teams or communities.
Embedded Analytics: Provide iframe/API widgets for wallets, DEXs, and remittance platforms.
Joint Data Products: Collaborate with DEXs or wallets to launch branded public dashboards.
Strategic Integration: Explore with Unstoppable Wallet and similar projects for native analytics in wallet UX.
10+ TB of blockchain data indexed (EVM)
100+ SQL-native public tables
10,000+ queries run on https://agx.app
100+ active users (analysts, developers, founders)
Open source (MIT) at https://github.com/agnosticeng
$2M raised from top-tier VCs (BlueYard Capital, Kima Ventures)
Featured by ClickHouse as a blockchain data reference architecture
We are now fully focusing on Stellar, with the same rigor, tooling, and modularity that made our EVM stack successful. The Stellar ecosystem deserves a best-in-class data layer
Objective: Deliver ch-stellar and AGT pipelines code for Stellar public tables.
Deliverable 1: ch-stellar
Brief description: Implement the core features of ch-stellar, which is a set of user-defined functions that extend ClickHouse with Stellar-specific functionnalities. Some of the most importants functions are:
A table function that reads that allows reading Galexie-generated export directly from SQL
A function that can make RPC requests to sororban-rpc nodes right from SQL
A function that allows to decode XDR-encoded data from SQL
How to measure completion: The Golang code for the above ClickHouse UDF functions is available on a public GitHub repository with an open-source license. Binary packages are also availables for ease of use.
Estimated date of completion: Sep 20, 2025
Budget: $30,000
Deliverable 2: AGT pipelines for Stellar
Brief description: Deliver the SQL code of the various ETL pipelines for public Stellar tables.
The most important tables generated by these ETL pipelines are:
Accounts
Trustlines
Contract data
Ledgers
Transactions
Operations
Effects
Trades
Liquidity pools
Contract events
How to measure completion: The SQL code (and accompagnying AGT configuration) for the various pipelines is available
on a public GitHub repository with an open-source license. It can be run against a selected sample of the testnet to ensure it generates correct output tables.
Estimated date of completion: Oct 15, 2025
Budget: $30,000
Objective: Build all Stellar public datasets for testnet
Deliverable 3: Full testnet Galexie export
Brief description: Run a production-ready deployment of Galexie that continuously produce an export of testnet data and make it's output publicly accessible for pipelines reproductibility.
How to measure completion:A continuously updated set of XDR files forming a testnet export on a publicly accessible S3-compatible bucket.
Estimated Completion: Nov 4, 2025
Estimated Cost: $2,000
Deliverable 4: Public Stellar tables for testnet
Brief description: The pipelines for all previosuly mentionned tables are deployed in a production-ready-setup against testnet.
The set of Apache Iceberg tables is bacfilled and continuously updated, and is accessible on a public S3-compatible bucket for the community to use.
How to measure completion: all tables are publicly accessible and queryable from an Iceberg-compatible engine (eg: local ClickHouse installation or duckdb).
Estimated Completion: Nov 24, 2025
Estimated Cost: $10,000
Deliverable 5: AGX deployment
Brief description: An publicly accessible instance of AGX is deployed for the community to use.
Anyone can query and chart the public Stellar tables from there.
How to measure completion: Anyone can run query and create charts against the public testnet tables
Estimated Completion: Dec 15, 2025
Estimated Cost: $10,000
Objective: Pubnet launch
Deliverable 6: Full pubnet Galexie export
Brief description: Run a production-ready deployment of Galexie that continuously produce an export of pubnet data and make it's output publicly accessible for pipelines reproductibility.
How to measure completion: A continuously updated set of XDR files forming a pubnet export on a publicly accessible S3-compatible bucket.
Estimated Completion: Jan 2, 2026
Estimated Cost: $4,000
Deliverable 7: Public Stellar tables for pubnet
Brief description:
The pipelines for all previosuly mentionned tables are deployed in a production-ready-setup against pubnet.
The set of Apache Iceberg tables is bacfilled and continuously updated, and is accessible on a public S3-compatible bucket for the community to use.
How to measure completion: all tables are publicly accessible and queryable from an Iceberg-compatible engine (eg: local ClickHouse installation or duckdb).
Estimated Completion: Jan 21, 2026
Estimated Cost: $20,000
Deliverable 8: DGN deployment
Brief description: A publicly accessible instance of DGN is deployed for the community to use.
How to measure completion: Anyone can create and share analytics dahsboards and notebooks with the community or privately.
Estimated Completion: Feb 9, 2026
Estimated Cost: $10,000
Deliverable 9: Public Dashboards
Brief description: Create and maintain a core set of DGN dashboards for Stellar most important metrics.
How to measure completion: the dashboards are created on the community DGN instance and publicly accessible.
Estimated Completion: Feb 20, 2026
Estimated Cost: $5,000
Didier Franc - Co-Founder and CEO of Agnostic
Software engineer and blockchain analytics expert with over a decade of experience. He leads the development of open-source tools for extracting, indexing, and visualizing on-chain data across EVM networks, democratizing blockchain access for developers and analysts.
Arnaud Briche, Co-Founder and General Director of Agnostic, specializes in data-intensive applications and blockchain data pipelines. With a strong background in ad tech, he optimizes indexing solutions to enhance on-chain analytics, ensuring efficiency and accessibility for users.
John Calabrese, Head of Analysis, leverages blockchain data tools for market research and analytics. Formerly at Nansen, he excels in financial modeling and wallet tracking, ensuring Agnostic’s tools provide valuable insights for traders, researchers, and analysts.
Yann Amsellem, a UX Engineer with almost ten years of experience across different fields, focuses on providing users with effective access to data visualization.
Paul Beynier, Agnostic’s business developer, drives strategic growth, partnerships, and blockchain adoption. With experience in tech and finance, he shapes Agnostic’s business strategy, secures funding, and fosters industry relationships to expand its market presence.
Each member plays a crucial role in advancing Agnostic’s open-source mission, refining tools that empower the blockchain community.
Didier Franc
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