Dinari earns revenue from transaction fees on dShare issuance and redemption, platform fees charged to partner integrators that consume its tokenization API, and the yield spread on the Treasury reserves backing USD+. Its go-to-market is B2B — third-party wallets, brokerages, and fintechs integrate Dinari as an infrastructure layer rather than end users interacting with Dinari directly.

Dinari issues dShares — ERC-20 tokens backed 1:1 by the underlying equity or ETF, held with licensed custodians. Each share is purchased on traditional markets before the corresponding token is minted, so token prices track real market pricing. The catalog covers 150+ tokenized stocks and ETFs (e.g. AAPL, NVDA, TSLA, SPY). Dinari also issues USD+, a Treasury-backed yield-bearing stablecoin. Products are available on Arbitrum, Base, Blast, Ethereum, Avalanche, and Plume.

Dinari is a US-based fintech that operates as an SEC-registered transfer agent, providing infrastructure for tokenizing publicly traded US equities and ETFs as onchain assets called dShares. Rather than serving end users directly, Dinari positions itself as a B2B infrastructure layer used by partner platforms (e.g. Gemini, Cadana, Fasset) to offer tokenized US securities across 80+ countries.

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Real-world asset (RWA) issuers

Dinari

# Transactions per second Methodology

## Overview

Transactions per second measures the average number of confirmed user transactions added to the blockchain each second. It reflects both the network’s throughput and real-time usage.

## Data sources

- Blockchain transaction records including hashes and status
- Block metadata capturing timestamps and confirmational data
- Network performance monitoring feeds and message logs

## Common calculation approaches

### Transaction count normalization
Raw transaction counts are extracted from blockchain records and normalized by the total number of seconds in a day (86,400). For example, unique transactions are aggregated from block metadata on networks such as Base and Tron to determine average daily throughput.

### Network-level performance tracking
For high-throughput environments, transaction rates are derived from pre-aggregated network statistics or instruction execution data. Message execution data is extracted from Internet Computer, while confirmed transaction counts are processed from block metadata and program instructions on Solana.

### Cross-layer ecosystem aggregation
Network activity is consolidated across multiple layers to represent the total throughput of an ecosystem. Transaction counts are aggregated from BNB Chain—including both the BSC Layer 1 and the opBNB Layer 2—and divided by the daily time interval to calculate a combined rate.

**Note:** The calculation approaches and protocol examples above are representative patterns. Individual protocol implementations may vary.

*This methodology was automatically generated by Token Terminal's methodology analyzer.*

Average confirmed user transactions added per second.

Dinari

Transactions per second

Transactions per second

Competitive landscape

Chain breakdown