Block Reward & Fee Data
Block rewards and transaction fees over time — miner economics training data.
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Find Me This Data →Overview
What Is Block Reward & Fee Data?
Block reward and fee data encompasses the economic incentives that drive proof-of-work blockchain mining. This dataset tracks miner rewards—the combination of newly created coins (block subsidies) and transaction fees earned per block—over time. Block rewards form the backbone of mining economics; for example, Bitcoin miners currently receive 3.125 BTC per block, a figure that halves approximately every four years. Transaction fees represent the variable component of miner income, fluctuating with network congestion and user demand. Together, these metrics reveal the profitability dynamics of mining operations and the long-term sustainability of blockchain security, making this data essential for understanding miner behavior, network health, and the transition toward fee-dependent revenue models as block subsidies decline.
Market Data
3.125 BTC per block
Current Bitcoin Block Reward
Source: Spark
$20 million per day ($600 million per month)
Bitcoin Daily Mining Revenue
Source: BitBo
1.5625 BTC per block
Post-Halving Block Subsidy (2028)
Source: BitBo
$576.3 million (up 80% YoY)
Riot Platforms FY25 Mining Revenue
Source: MEXC News
Who Uses This Data
What AI models do with it.do with it.
Mining Operation Managers
Use block reward and fee data to optimize hardware investments, evaluate profitability across different network conditions, and plan long-term capital allocation decisions as block subsidies halve.
Cryptocurrency Analysts & Researchers
Analyze historical and real-time reward data to track miner economics, study network security incentives, and forecast the transition toward fee-dependent revenue as subsidies decline.
Institutional Investors
Evaluate mining companies' earnings potential by examining block reward trends, transaction fee volatility, and how mining operations adapt to post-halving revenue pressures.
Blockchain Protocol Developers
Use fee and reward metrics to assess network health, study incentive alignment, and design sustainable economic models for layer-2 protocols and future consensus mechanisms.
What Can You Earn?
What it's worth.worth.
Individual Miners / Small Operations
Varies
Profitability depends heavily on hardware costs ($2,000–$20,000 per machine), electricity rates, and access to efficient cooling. Most individual mining is no longer competitive.
Professional Mining Operations
Varies
Large-scale miners with optimized hardware and renewable energy achieve profitability through economies of scale. Data on specific yields depends on network hash rate and fee conditions.
Data Licensing
Varies
No specific pricing found in source chunks. Value depends on data freshness, historical depth, granularity, and exclusivity terms negotiated with providers.
What Buyers Expect
What makes it valuable.valuable.
Real-Time Accuracy
Block rewards and fees must be updated with minimal latency, ideally within seconds of block confirmation, to support live mining profitability calculations and trading decisions.
Historical Completeness
Complete time-series data spanning multiple halving cycles and market conditions, enabling analysis of long-term miner behavior, revenue trends, and network economics evolution.
Multi-Chain Coverage
Data should cover major proof-of-work blockchains (Bitcoin, Litecoin, Dogecoin, etc.) with consistent methodology, allowing comparative analysis of mining economics across different networks.
Granular Fee Breakdown
Transaction fees should be segmented by priority tier, transaction type, and block composition to reveal fee market dynamics and miner revenue optimization strategies.
Contextual Metadata
Block reward data should include difficulty adjustments, network hash rate, and mempool metrics to provide full context for understanding miner incentives and profitability.
Companies Active Here
Who's buying.buying.
Large-scale Bitcoin mining operator tracking block rewards and transaction fee contributions to mining revenue; reported $576.3 million in mining revenue for FY25.
ASIC manufacturer and mining pool operator utilizing block reward and difficulty data to optimize hardware design and evaluate mining profitability across regions.
Monitor mining company earnings, block reward economics, and fee trends to assess cryptocurrency mining as an alternative investment class and evaluate mining equity valuations.
Publish reports on mining economics, miner revenue trends, and post-halving transitions; integrate block reward and fee data into broader ecosystem analytics platforms.
FAQ
Common questions.questions.
What exactly are block rewards and how do they relate to transaction fees?
Block rewards consist of two components: the block subsidy (newly created cryptocurrency awarded to miners) and transaction fees from included transactions. For Bitcoin, the block subsidy is currently 3.125 BTC and halves every four years. Transaction fees are variable and depend on network congestion and user demand. Together, they comprise a miner's total per-block revenue.
How much will Bitcoin block rewards decrease in 2028?
Bitcoin's block subsidy will halve from 3.125 BTC to 1.5625 BTC after the halving scheduled for 2028. This follows Bitcoin's programmatic halving every 210,000 blocks (approximately every four years).
Is Bitcoin mining still profitable in 2026?
Yes, Bitcoin mining remains profitable for well-capitalized operations, though profitability is increasingly concentrated among large-scale miners with optimized hardware and access to cheap renewable energy. Individual mining is generally no longer competitive due to high equipment costs ($2,000–$20,000 per machine). Miner revenues have stabilized post-halving but face long-term pressure as block subsidies continue to decline and mining becomes more fee-dependent.
Why is block reward and fee data important for training AI models?
Block reward and fee data reveals miner economics, network incentive structures, and behavioral patterns in response to changing subsidy levels and fee markets. This data trains models to predict miner behavior, optimize mining operations, forecast long-term blockchain security sustainability, and analyze the transition toward fee-dependent revenue as subsidies decline—all critical for understanding mining profitability and network economics.
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