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Shivacha — Simplifying Tech Solutions
Shivacha Web3Blockchain Data & On-Chain Analytics

Token Analytics

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

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

Token issuers, treasuries and investors need clear token analytics: holder concentration, circulating supply, vesting unlocks, liquidity across venues, exchange inflows and outflows, and treasury positions. We build token analytics dashboards and reports with accurate supply calculations and documented methodologies.

Common use cases

  • Issuer dashboardsToken health for project teams.
  • Treasury reportingToken holdings and movements.
  • Unlock trackingVesting schedules and impacts.
  • Investor reportingToken data for stakeholders.

Quick answers

Token Analytics at a glance

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

What is token analytics?
Token analytics — holder distribution, supply, vesting, liquidity, exchange flows and treasury reporting.
Who is it for?
Typically Web3 startups, fintechs adding digital assets, and institutions exploring tokenization, stablecoins or on-chain settlement.
What does Shivacha provide?
  • Holder analysis
  • Supply metrics
  • Vesting tracking
  • Liquidity metrics
  • Exchange flows
  • Reports
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

Holder analysis

Distribution and concentration.

Supply metrics

Circulating and total supply.

Vesting tracking

Unlock schedules and claims.

Liquidity metrics

Depth across DEXs and venues.

Exchange flows

Inflow and outflow tracking.

Reports

Scheduled stakeholder reports.

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.

Dedicated team

Data Engineering Team

Engineers for pipelines, warehouses, streaming and blockchain data.

FAQ

Frequently asked questions

How is circulating supply calculated?

Using a documented methodology that excludes locked, treasury and burned tokens as defined with the project.

Can CEX balances be tracked?

Known exchange addresses can be tracked with labels, though coverage is not complete.

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 token analytics 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

Your details are used only to reply to this enquiry.

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