For Blockchain Networks & Protocols

We curate your chain's data. You focus on building.

Raw blocks, transactions, and logs become structured, labeled, analysis-ready datasets.

Flipside transforms your chain's raw data into curated tables covering DeFi, staking, bridges, stablecoins, and 70+ protocol integrations. Delivered through Snowflake and Flipspace. EVM chains go live in weeks, not months.

Talk to Us About Your Chain
See What Curated Data Looks Like

Your chain generates data. But data isn't the same as answers.

Flipside turns this...

WHAT YOU HAVE

0xa9059cbb00000000000000007a250d56...dacb4c659f2488d

topics: [0xddf252ad...] data: 0x0000000000...

trace_address: [0,1,3] call_type: delegatecall

Hex-encoded logs, nested traces, no labels, no USD values

Flipside curates →
WHAT YOU GET

ez_dex_swaps

WETH → USDC | $47,291 | Uniswap V3

dim_labels

Wintermute | Market Maker | CEX

ez_bridge_activity

Base → Arbitrum | 500K USDC | Across

Decoded tables, entity labels, USD values, ready to query

01 / Two paths to curated data

EVM or not, we've done this before

EVM chains benefit from a shared codebase that makes onboarding fast. Non-EVM chains get dedicated engineering with the same end result: structured, queryable data in Snowflake.

EVM Chains

Standardized infrastructure

Flipside runs one unified pipeline for every EVM chain — same macros, same templates, same output. When a new EVM chain comes online, it inherits all existing protocol integrations and curated models automatically. No custom engineering per chain. That consistency is why EVM onboarding is measured in weeks, not months.

Timeline

Pipeline deployment1–2 hours
Core data availableDays
Full curated tables live3–4 weeks
  • 70+ DeFi protocol integrations inherited automatically
  • Blocks, transactions, traces, decoded contracts
  • ~$15K–$40K/year infrastructure cost per chain

Currently live on 12+ EVM chains

Ethereum, Polygon, Arbitrum, Optimism, Base, BSC, Avalanche, Gnosis, Flow EVM, Ink, Aurora, and more

Non-EVM Chains

Custom-built pipelines

Solana, Tron, Hyperliquid, Flow Cadence — each has unique data structures, transaction models, and protocol behaviors. No shared package works here. Flipside builds dedicated curation pipelines, often partnering with external data providers to accelerate base data ingestion.

Timeline

Full chain indexingUp to 6 weeks
Older chains (1+ yr history)Toward longer end
With data partner support~1 month
  • Chain-specific raw and decoded data
  • Custom DeFi, governance, staking, ecosystem models
  • Cost varies by throughput and complexity

Complexity factors

Chain age, historical data volume, transaction throughput, and non-standard data models all affect timeline and cost

02 / What you get

From raw blocks to queryable tables

Every curated chain ships with the same layers of data. The goal is simple: an analyst with SQL access should be able to answer any question about your chain's activity without building their own pipeline.

Core blockchain data

Blocks, transactions, traces, event logs, and decoded contract calls. The foundation everything else builds on.

DeFi protocol coverage

Swaps, lending, staking, bridges, stablecoins, TVL, NFT activity, and governance. EVM chains include 70+ protocol integrations.

Entity labels

700M+ addresses classified across chains. Know whether a wallet belongs to an exchange, a DeFi protocol, a fund, or an individual.

Pre-computed USD values

Every transaction table includes USD amounts at time of execution. No external price oracle stitching. Decimal adjustments handled.

Unified crosschain schema

Your chain's data fits into Flipside's crosschain schema. Analysts can compare activity across 20+ chains using the same table structures and column names.

Snowflake delivery

Data shares, marketplace listings, and S3 pipelines. Enterprise teams access your chain's data through the tools they already use.

03 / How it works

From first conversation to live data

The process depends on whether you're EVM or not, but the milestones are the same.

1

Scoping & chain assessment

We review your chain's architecture (EVM vs. non-EVM), data volume, key protocols, and priority use cases. For EVM chains this is fast; we've done it 12+ times. For non-EVM chains we map the unique data structures and identify the right ingestion approach.

2

Pipeline deployment & core data

Streamline (Flipside's ingestion platform) spins up per-chain, per-source pipelines in isolated AWS environments. Core data (blocks, transactions, traces, logs) starts flowing. For EVM chains, this takes hours. For non-EVM, days to weeks depending on historical depth.

3

Curation & enrichment

Raw data gets transformed into curated tables: DeFi swaps decoded, entity labels applied, USD values computed, protocol-specific models built. EVM chains inherit 70+ integrations from the shared pipeline automatically. Non-EVM chains get equivalent coverage built custom.

4

Live in Snowflake & Flipspace

Curated data goes live through Snowflake data shares and marketplace listings. It's also accessible in Flipspace for AI-powered analysis, automated reports, and monitoring. Your ecosystem's analysts, researchers, and institutions can start querying immediately.

04 / Protocol-specific curation

Custom tables for individual protocols

Beyond full-chain curation, Flipside builds dedicated data models for specific protocols. Every metric queryable in seconds through standard SQL.

How it works for protocols

A protocol like Marinade Finance comes to Flipside and says: we need to analyze our staking activity, track whale behavior, and understand our user base. Flipside builds dedicated tables for that protocol — not generic chain-level tables, but models specifically designed around that protocol's contracts and activity patterns.

What protocols get

  • Dedicated tables for your contracts
  • User segmentation and cohort analysis
  • Whale tracking and activity monitoring
  • Transaction volume and TVL breakdowns

How it's accessed

  • Standard SQL through Snowflake
  • AI-powered analysis in Flipspace
  • Automated reports and monitoring
  • Private data shares for sensitive data

Custom data pipelines for enterprise

Need something beyond standard chain or protocol curation? Flipside also builds and manages custom data models for enterprise teams: simplified views, custom aggregations, or proprietary data pipelines delivered as private Snowflake shares. Your SQL, our infrastructure.

Talk to us about custom pipelines

05 / Automated analysis

AI agents that turn curated data into ongoing intelligence

Curated data is the starting point. Agents are what make it useful without anyone logging in.

Learn more about agents

Once your chain's data is curated, Flipside can build AI agents that run on a schedule and deliver analysis to Slack, email, or Discord. Each agent handles one job. An ecosystem health agent doesn't also do whale tracking. That specialization is what makes the output reliable enough to act on.

Ecosystem health

Daily or weekly summaries of active wallets, transaction volume, TVL changes, and protocol-level activity across your chain. Drops into your Slack every morning.

Whale & user tracking

Watch specific wallets or user cohorts. Get alerts when whales move, when retention drops, or when a new protocol starts pulling your users.

Competitive intelligence

Track competitor chains across the same curated schema. Compare TVL growth, new protocol launches, and user migration patterns side by side.

Built for your questions

Every chain has unique questions. We build agents around yours: grant recipient monitoring, bridge flow analysis, staking economics, or anything specific to your roadmap.

Agents deliver where your team already works

Scheduled reports and real-time alerts go to Slack, email, or Discord. Your team doesn't need to learn a new tool or check a dashboard. The intelligence comes to them.

20+

Chains live

Each inheriting 70+ protocol integrations

3–4 wk

EVM onboarding

From first call to full curated data

70+

Protocol integrations

DeFi, NFTs, governance, staking, bridges

700M+

Labeled addresses

Crosschain entity classification

06 / Why Flipside

We've been curating blockchain data for 8 years

Flipside has been curating blockchain data since 2017. The infrastructure, the team, and the protocol relationships all grew out of that single focus.

Automation that compounds

Agent-driven automation has compressed EVM deployment from weeks to hours for the pipeline stage. Shared macros and templates mean each new chain makes the next one faster. Fixes and improvements roll out to every chain at once.

Crosschain from day one

Your chain's data immediately joins the crosschain schema. Analysts can compare your chain's activity against 20+ others using the same SQL patterns.

Your ecosystem benefits

Once curated, your chain's data is accessible to every Flipside user: researchers, institutions, protocols, and analysts already querying 20+ other chains. Your ecosystem gains an active community of data consumers on day one.

Continuous maintenance

Contract upgrades, new protocol launches, schema changes. Flipside handles ongoing maintenance. Your data stays current without your team managing pipelines.

Top 50 Data & Analytics Team Award Winner 2025 - OnCon Icon Awards

Top 50 Data & Analytics Team — 2025

Flipside's data engineering team was named a Top 50 Data & Analytics Team by the OnCon Icon Awards. The same team that curates data for 20+ chains is the team that will curate yours.

Frequently asked questions

How long does it take to curate a new EVM chain?

For EVM-compatible chains, core data (blocks, transactions, traces, event logs) is typically available within days. Full curated tables, including DeFi swaps, lending, staking, bridges, and 70+ protocol integrations, go live in 3–4 weeks. The initial pipeline deployment takes 1–2 hours thanks to Flipside's standardized EVM pipeline, which uses shared macros and templates across every chain.

How long does it take to curate a non-EVM chain?

Non-EVM chains like Solana, Tron, or Hyperliquid require custom-built pipelines since each has unique data structures and transaction models. Full indexing and curation takes up to 6 weeks, with older blockchains (1+ year of history) toward the longer end. Partnerships with external data providers can reduce this to roughly 1 month for base data.

What curated data models are included?

The standard output includes decoded contracts, DeFi activity (swaps, lending, staking), bridge transfers, stablecoin flows, TVL calculations, NFT events, and governance data. EVM chains inherit 70+ protocol integrations automatically through the shared pipeline. Non-EVM chains get the same coverage through dedicated engineering. All data includes entity labels, USD pricing, and crosschain address mapping.

How is the curated data delivered?

All curated data is delivered through Snowflake via data shares, marketplace listings, or S3 pipelines. It's also accessible through Flipspace for AI-powered analysis, reporting, and automated monitoring. Standard SQL access, no proprietary query language or SDK required.

Can Flipside curate data for a specific protocol on an existing chain?

Yes. Beyond full-chain curation, Flipside builds protocol-specific curated tables. For example, Marinade Finance has dedicated tables that make it easy to analyze their users, whale activity, transaction volumes, and staking dynamics — all queryable with standard SQL through Snowflake or Flipspace.

What does chain data curation cost?

EVM chain infrastructure runs approximately $15K–$40K per year depending on throughput. Non-EVM chains are higher and vary significantly based on transaction volume, historical data depth, and complexity of the chain's data model. Contact us for a specific estimate based on your chain.

Impact Study

We curated HyperEVM in under 2 hours

Full chain coverage that used to take weeks. Read how our agent-driven pipeline deployed the complete HyperEVM data stack, from blocks and transactions to decoded events and price feeds, in a single session.

Read the impact study

Ready to make your chain's data accessible?

Tell us about your chain. We'll walk you through the curation process, timeline, and what your ecosystem's data will look like when it's live.

Talk to Us
See Curated Data Examples