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Shivacha Web3Blockchain Data & On-Chain Analytics

Blockchain Data Services

Blockchain data engineering — extraction, normalisation, enrichment and delivery of on-chain data for any use case.

Discuss Your Blockchain ProjectTalk to an Expert
Contract events · EVM network
Illustrative
  1. Wallet
  2. Smart contract
  3. Blockchain
  4. Indexer
  5. API
  6. Application

#…4812

12 conf.

#…4813

11 conf.

#…4814

10 conf.

#…4815

pending

Decoded events

  • Deposit(0x8f2…a91, 500)confirmed
  • Transfer(0x1c7…4de → 0x9b0…77f)confirmed
  • RoleGranted(PAUSER, multisig)timelock

RPC failover · 3 providers · reorg-safe indexing

Overview

Blockchain data services turn raw chain data into datasets teams can use: decoded transactions, normalised transfers, positions, prices, entity labels. We build the extraction, normalisation and enrichment pipelines and deliver data via APIs, warehouses or streams — for product, analytics, finance and risk teams.

Common use cases

  • Product dataData powering application features.
  • Finance dataTransaction records for accounting.
  • Risk dataExposure and counterparty data.
  • Research dataHistorical datasets for analysis.

Quick answers

Blockchain Data Services at a glance

The essentials in brief. Every project is scoped individually — ask us for specifics.

What is blockchain data services?
Blockchain data engineering — extraction, normalisation, enrichment and delivery of on-chain data for any use case.
Who is it for?
Typically Web3 startups, fintechs adding digital assets, and institutions exploring tokenization, stablecoins or on-chain settlement.
What does Shivacha provide?
  • Extraction
  • Normalisation
  • Enrichment
  • Delivery
  • Quality checks
  • Documentation
Which technologies are used?
The Graph, ClickHouse, PostgreSQL, Apache Kafka, Go (Golang), Rust — chosen to fit your stack and constraints.
How does the process work?
Data requirements → Indexing design → Pipeline build → Serving layer → Operations.
What affects the cost?
  • Contract complexity and number of chains
  • Custody and wallet model
  • Independent audit scope
  • Indexing, analytics and back-office tooling
  • Compliance integrations (KYC, AML, Travel Rule)
  • Upgradeability and governance requirements
How long does it take?
A focused contract system or dApp MVP typically takes 8–14 weeks plus independent audit time; institutional platforms usually take 4–9 months.
How do I get started?
Share a short brief in the form below, book a 30-minute call or message us on WhatsApp. A senior engineer replies within one business day; NDA on request.

Capabilities

What we deliver

Extraction

Blocks, logs, traces and state.

Normalisation

Consistent schemas across chains.

Enrichment

Prices, labels and metadata.

Delivery

APIs, warehouses and streams.

Quality checks

Completeness and consistency.

Documentation

Data dictionaries and lineage.

Architecture

Engineered right from day one

The layers we typically design for blockchain data & on-chain analytics, adapted to your stack and partners.

  • Reorg safetyConfirmed vs pending data handled explicitly.
  • Completeness checksAutomated checks that no blocks or events were missed.
  • Query performanceColumnar storage for analytics, relational for applications.
  • CostNode and RPC costs managed with caching and archive strategies.
Blockchain Data & On-Chain Analytics · reference architecture
5Sources
Full & archive nodesRPC providersEvent logsTraces
4Ingestion
Block streamingReorg handlingDecoding
3Processing
NormalisationEnrichmentPricingLabels
2Storage
PostgreSQLClickHouseData warehouse
1Access
APIs & GraphQLDashboardsAlertsExports

Delivery

How an engagement runs

  1. 1

    Data requirements

    Chains, contracts, entities, freshness and query patterns.

  2. 2

    Indexing design

    Subgraphs, custom indexers or hybrid, with reorg strategy.

  3. 3

    Pipeline build

    Ingestion, decoding, enrichment and storage.

  4. 4

    Serving layer

    APIs, dashboards and alerts for consumers.

  5. 5

    Operations

    Monitoring of lag, completeness and data quality.

Security

Security built into delivery

Controls we apply by default on this kind of work — not a separate phase at the end.

Specification first

Roles, invariants and threat model documented before code.

Adversarial testing

Fuzz, invariant and fork tests plus static analysis on every change.

Key management

Admin keys in multisig or MPC with timelocks on sensitive actions.

Independent audit

Code prepared for — and we recommend — an external audit before mainnet value.

Technology

Tools we use for this

The GraphClickHousePostgreSQLApache KafkaGo (Golang)RustGraphQLBigQuery
Industries:
FinTechPaymentsGamingEnterprise

Products

Start from a platform

All products
Infrastructure

Shivacha Explorer

A fast, customisable block explorer for any network.

Learn more
DeFi

Shivacha DeFi Platform

Modular DeFi: swaps, lending, vaults and staking with risk controls built in.

Learn more
Institutional

Shivacha Digital Asset Platform

Institutional digital asset operations: custody access, policies, trading and reporting.

Learn more

Related services

Often combined with

Blockchain Data & On-Chain Analytics

On-Chain Analytics

On-chain analytics platforms — protocol metrics, user behaviour, token flows and custom dashboards.

Learn more
Blockchain Data & On-Chain Analytics

Web3 Product Analytics

Product analytics for Web3 apps — combining on-chain activity with app events to measure acquisition and retention.

Learn more
Blockchain Data & On-Chain Analytics

Token Analytics

Token analytics — holder distribution, supply, vesting, liquidity, exchange flows and treasury reporting.

Learn more

Dedicated team

Data Engineering Team

Engineers for pipelines, warehouses, streaming and blockchain data.

View teamBuild This Team

Work & insights

Related thinking

Reference architecture

Policy-controlled institutional digital asset operations

A reference design for institutions that need every digital asset transaction initiated, approved and signed under explicit policy.

Learn more
Reference architecture

Tokenized fund units with on-chain eligibility

How we structure a fund tokenization platform where only eligible investors can hold or receive units.

Learn more
Insight · 10 min

Crypto exchange development cost: what goes into building a trading platform

A crypto exchange is several demanding systems at once — matching, wallets, risk, compliance and operations. Understanding each is the key to a realistic budget and timeline.

Learn more

FAQ

Frequently asked questions

Can data cover many chains?

Yes, with chain-specific extraction and a normalised model.

How do you ensure accuracy?

Through reconciliation with node state, completeness checks and reorg handling.

Should we use The Graph or a custom indexer?

Subgraphs are fast to build for contract-event data on supported networks. Custom indexers suit high volume, multi-chain, trace-level or complex enrichment needs. Many platforms use both.

Can you reconcile on-chain data with our internal ledger?

Yes. Reconciling on-chain activity with internal and custodian records is a core part of our digital asset and fintech work.

Next step

Discuss Your Blockchain Project.

Tell us about your blockchain data services requirements — goals, timeline and constraints. We will reply with questions, an approach and next steps.

  • Senior engineer reads every enquiry
  • Reply within one business day
  • NDA on request

Prefer to talk first?

Book a 30-minute call, or message the nearest team on WhatsApp.

Book a Call

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