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Comparisons

RedStone vs API3: Pay Per Use

A technical analysis comparing the pay-per-use cost models of RedStone and API3 oracles. We evaluate architectural differences, gas efficiency, data freshness, and total cost of ownership for protocol architects and CTOs.
Chainscore © 2026
introduction
THE ANALYSIS

Introduction: The Pay-Per-Use Oracle Landscape

A technical breakdown of RedStone and API3's competing approaches to on-demand data provisioning.

RedStone excels at low-cost, high-frequency data for DeFi and Perpetuals due to its unique data availability layer. It streams signed data feeds via Arweave and decentralized gateways, allowing dApps to pull data on-demand without incurring on-chain costs until a settlement is needed. This model, combined with its massive feed catalog covering thousands of assets, results in exceptionally low operational costs for high-throughput applications, with data delivery often costing fractions of a cent per request.

API3 takes a different approach by championing first-party oracles via its dAPI infrastructure. Its core strategy eliminates middleware, allowing data providers to operate their own nodes (Airnode). This results in a trade-off: enhanced transparency and direct provider accountability, but often at a higher gas cost per update compared to RedStone's batched, pull-based model. API3's dAPIs are managed through its decentralized API marketplace, emphasizing data source quality and verifiable on-chain provenance.

The key trade-off: If your priority is minimizing gas expenditure and accessing a vast array of niche data feeds for a high-volume dApp, RedStone's pull-based model is compelling. Choose API3 when your protocol prioritizes security through first-party data, requires insured quantifiable SLAs via its security staking pool, and values direct governance over data source selection.

tldr-summary
RedStone vs API3: Pay Per Use

TL;DR: Core Differentiators

Key strengths and trade-offs at a glance for the two leading on-demand oracle models.

02

RedStone: Broad Asset Coverage

1,000+ data feeds from CEXs, DEXs, and off-chain sources. Aggregates data from CoinGecko, Binance, Kraken, and more into a single signed payload. This matters for DeFi protocols building exotic products or needing real-world data (RWA prices, weather) beyond mainstream crypto assets.

1,000+
Data Feeds
04

API3: Decentralized Governance & Security

API3 DAO manages data feeds through staking and voting. The Airnode protocol allows any API provider to become a first-party oracle with minimal setup. This creates a provider-owned network with aligned incentives. This matters for protocols prioritizing decentralized governance over data sourcing and long-term censorship resistance.

PAY-PER-USE ORACLE COMPARISON

Head-to-Head Feature Matrix: RedStone vs API3

Direct comparison of key technical and economic metrics for decentralized oracle solutions.

MetricRedStoneAPI3

Primary Data Delivery Model

Data Feeds via Streamr, Arweave

dAPIs (First-Party Oracles)

Pricing Model

Pay-per-call via Gasless Relayers

Subscription-based dAPI Management

On-Chain Data Update Cost (ETH)

$0.10 - $0.50

$0.50 - $2.00

Data Provider Staking Required

Native Token for Payments

RedStone (REDSTONE)

API3

Supported Blockchains

50+ (EVM, L2s, Cosmos, Solana)

15+ (EVM, Starknet, Arbitrum, Base)

Data Signing & Verification

Off-chain signatures with on-chain validation

On-chain Airnode with QRNG

REDSTONE VS API3: PAY-PER-USE

Cost Analysis: Gas Fees & Operational Overhead

Direct comparison of on-chain cost models and operational overhead for oracle data feeds.

MetricRedStoneAPI3

On-Chain Gas Cost Per Update

$0.05 - $0.15 (Arbitrum)

$0.50 - $2.00 (Ethereum Mainnet)

Primary Cost Model

Pay-per-use (User pays gas)

Staking & dAPI Subscription

Requires On-Chain Data Feed Deployment

Gasless Data Access via Signed Feeds

Protocol Revenue Model

Relayer Fees (off-chain)

dAPI Revenue Share (on-chain)

Typical Monthly Operational Overhead

Low (Gas-only)

Medium (Stake Management + Gas)

pros-cons-a
ORACLE DATA FEED MODELS

RedStone vs API3: Pay Per Use

A direct comparison of the cost and operational models for RedStone's pull-based oracle and API3's dAPI-first approach. Choose based on your protocol's data consumption patterns and budget.

02

RedStone: Multi-Chain & Custom Data

Native multi-chain support: Deploy a single data feed logic that works across 30+ EVM and non-EVM chains (Arbitrum, Base, Solana). Ideal for omnichain applications and custom data needs (e.g., niche price pairs, volatility indices). The model avoids paying for redundant on-chain updates on every chain.

30+
Supported Chains
04

API3: Decentralized Data Source Control

Direct from source: dAPIs are operated by the data providers themselves (e.g., CoinGecko, Amberdata) via Airnode, removing intermediary aggregators. This provides stronger security guarantees and transparent provenance. Best for protocols where data source integrity and decentralization are non-negotiable requirements.

pros-cons-b
RedStone vs API3: Pay Per Use

API3: Pros and Cons

Key strengths and trade-offs at a glance for two leading oracle models.

01

API3: First-Party Oracle Security

Direct data source integration: API3's Airnode allows data providers to run their own oracle nodes, eliminating middleware. This reduces trust assumptions and attack vectors like data manipulation by third-party node operators. This matters for high-value DeFi protocols where data integrity is paramount.

02

API3: dAPI & DAO Governance

Decentralized API management: Data feeds (dAPIs) are managed by the API3 DAO, which curates providers and sets parameters. This creates a transparent, community-governed marketplace for data. This matters for protocols seeking long-term, decentralized oracle infrastructure aligned with Web3 principles.

03

RedStone: Modular Data Feeds

Flexible data packaging: RedStone uses a unique "Arweave + on-demand push" model, storing signed data on Arweave and delivering it via a pull mechanism. This enables high-frequency, custom data feeds (e.g., NFT floor prices, RWAs) with lower on-chain footprint. This matters for specialized dApps needing data not available on standard feeds.

04

RedStone: Cost-Efficiency for L2s

Optimized for rollup economics: By storing data off-chain and using single-transaction verification, RedStone minimizes gas costs for data delivery. This leads to significantly lower operational costs for protocols on Arbitrum, Optimism, and Base. This matters for high-throughput, cost-sensitive applications where per-transaction fees are critical.

CHOOSE YOUR PRIORITY

Decision Framework: When to Use Which

RedStone for DeFi

Verdict: The go-to for high-frequency, cost-sensitive operations. Strengths: RedStone's pull-based oracle model shines for DeFi protocols like perpetual DEXs (e.g., GMX forks) or money markets that require ultra-low-latency price updates without paying for unused data. Its data availability layer (Arweave) and on-demand verification via signed data packages allow for gas-optimized updates, crucial for L2s like Arbitrum or Optimism where gas is still a factor. Considerations: Requires your smart contract to implement the RedStone Core adapter for data verification, adding slight integration complexity.

API3 for DeFi

Verdict: Ideal for protocols prioritizing sovereignty and first-party data. Strengths: API3's dAPIs provide first-party oracle feeds directly from data providers (like Amberdata, Kaiko), minimizing trust layers. This is critical for institutional-grade DeFi products, stablecoin protocols, or cross-chain money markets (via Airnode) where data provenance and provider accountability are paramount. The managed service model reduces operational overhead. Considerations: Typically involves a subscription fee to the API3 DAO, which may be less granular than pure pay-per-call for very low-volume applications.

verdict
THE ANALYSIS

Final Verdict and Recommendation

Choosing between RedStone and API3's Pay-Per-Use models hinges on your application's specific data needs and economic model.

RedStone excels at providing high-frequency, diverse data feeds for DeFi applications because of its modular, off-chain data sourcing and on-chain validation via data availability layers like Arweave and Celestia. For example, its architecture supports over 1,000 data feeds with sub-second updates, making it ideal for perpetuals protocols like GMX or lending markets that require real-time price feeds for exotic assets. Its pay-per-call model is highly granular, charging per data point delivered, which optimizes costs for applications with variable or unpredictable query volumes.

API3 takes a different approach by operating a first-party oracle network where data providers run their own nodes. This strategy results in a stronger alignment of incentives and reduced trust assumptions, as providers stake API3 tokens directly on their performance. The trade-off is a potentially narrower initial selection of data feeds compared to RedStone's aggregated model, but with deep integration for specific providers. API3's dAPIs offer a subscription-like pay-per-use model, which can be more predictable and cost-effective for applications with consistent, high-volume data consumption patterns.

The key trade-off: If your priority is maximum data variety, ultra-low latency updates, and granular cost control for volatile usage, choose RedStone. Its architecture is built for the demanding, multi-asset environment of modern DeFi. If you prioritize first-party data security, predictable billing for steady-state applications, and deep integration with specific premium data providers, choose API3. Its staking-based, provider-aligned model offers a compelling package for protocols where data provenance and reliability are paramount.

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RedStone vs API3: Pay Per Use Oracle Cost Analysis | ChainScore Comparisons