Bitcoin Mempool Analytics — Whale Tx + Fees + Block Stats

Bitcoin Mempool Analytics — BTC Transaction Fees & Mempool Congestion Tracker

Real-time Bitcoin mempool analytics for traders, developers, and on-chain researchers: track BTC transaction fees by speed tier, measure mempool congestion levels, monitor unconfirmed transactions, whale activity, recent blocks, hash rate, and difficulty adjustment — all in a single structured API call. Powered by mempool.space via Apify's cloud execution. No API key required.

Stop overpaying on Bitcoin transaction fees. Whether you are a miner, exchange operator, wallet developer, or DeFi power user, knowing the exact fee environment before you broadcast saves real money. This Actor runs on Apify's always-on infrastructure — schedule it every minute, pipe results to your bot, and never guess at fees again.

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What does Bitcoin Mempool Analytics do?

The Bitcoin mempool analytics Actor captures a complete snapshot of the Bitcoin network state in a single run: recommended fees at four speed tiers (sat/vB), a composite mempool pressure index (0–100), congestion labels, whale transaction detection, miner revenue breakdown, recent block stats, current hash rate, and the next difficulty adjustment estimate. Apify's dataset storage saves every snapshot automatically — chain them together over time to build a fee history database without managing any infrastructure yourself.

Every run also computes an optimal fee strategy (normal, rbf_friendly, or cpfp_needed) and quantifies exactly how many satoshis you save by using the medium fee tier instead of the fastest — actionable intelligence delivered as clean JSON your application can consume directly.

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Why use Bitcoin Mempool Analytics?

• Fee optimization for wallets and exchanges. The fee_savings_vs_high field tells you the exact satoshi savings for a 250-byte transaction at medium vs. fastest fee — make smarter broadcast decisions programmatically.
• Trading bot integration. High mempool pressure often precedes sharp BTC price moves as large OTC flows hit the chain. Set alertFeeSatVb to trigger a Telegram notification the moment fees spike above your threshold.
• Whale transaction surveillance. The whale_tx_dominance_pct field measures what fraction of pending mempool value belongs to large transactions (configurable BTC threshold). Rising whale dominance signals pending institutional flow.
• Mining analytics and MEV research. miner_revenue_breakdown_btc shows the subsidy-vs-fees split per block — essential for tracking miner economics, especially around halving events.
• Difficulty adjustment forecasting. next_difficulty_change_pct and next_difficulty_eta_seconds let you anticipate hash rate regime changes before they hit price models.

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How to use Bitcoin Mempool Analytics

1. Open the Actor on Apify Store and click Try for free.
2. Leave defaults for an instant full snapshot — fees, congestion, recent blocks, whale txs, difficulty.
3. Click Start. Results appear in the Dataset tab within 15–30 seconds.
4. Copy the dataset API URL to integrate into your application, spreadsheet, or Telegram bot.
5. To monitor continuously, use Apify's Schedule feature — set it to run every 1, 5, or 15 minutes and get a permanent dataset archive of every snapshot.

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Input

Field	Type	Default	Description
includeWhaleTransactions	boolean	true	Scan recent mempool for large-BTC transactions
minWhaleBtc	number	10	Minimum BTC size to flag as whale transaction
blocksLookback	integer	10	Number of recent blocks to fetch stats for
alertFeeSatVb	integer	0	Send Telegram alert when fastest fee reaches this level (sat/vB). 0 = disabled
telegramBotToken	string (secret)	—	Telegram bot token for fee spike alerts
telegramChatId	string	—	Telegram chat ID for alerts

Example — Low-fee window alert:

{
  "includeWhaleTransactions": false,
  "alertFeeSatVb": 5,
  "telegramBotToken": "<your-token>",
  "telegramChatId": "<your-chat-id>"
}

Example — Whale-only scan with tight threshold:

{
  "includeWhaleTransactions": true,
  "minWhaleBtc": 50,
  "blocksLookback": 1
}

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Output

The Actor produces two record types in the same dataset run:

Mempool snapshot (_type: "mempool_snapshot"):

[
  {
    "_type": "mempool_snapshot",
    "timestamp": "2026-09-01T01:35:00+00:00",
    "fastest_fee_sat_vb": 18,
    "half_hour_fee_sat_vb": 12,
    "hour_fee_sat_vb": 8,
    "economy_fee_sat_vb": 3,
    "minimum_fee_sat_vb": 1,
    "mempool_tx_count": 75069,
    "mempool_vsize_bytes": 28560123,
    "blocks_to_clear": 28.56,
    "mempool_pressure_index": 42.7,
    "network_congestion_level": "moderate",
    "optimal_fee_strategy": "rbf_friendly",
    "fee_savings_vs_high": {
      "savings_sat": 2500,
      "assumed_tx_size_bytes": 250,
      "fee_high_sat_vb": 18,
      "fee_medium_sat_vb": 8
    },
    "blocks_until_confirmation_estimate": 3,
    "whale_tx_dominance_pct": 68.4,
    "mempool_trend_1h": "stable",
    "current_hashrate_ehs": 720.45,
    "next_difficulty_change_pct": 1.85,
    "next_difficulty_eta_seconds": 432000,
    "miner_revenue_breakdown_btc": {
      "block_subsidy_btc": 3.125,
      "fees_btc": 0.00042,
      "fee_pct_of_revenue": 0.0134
    }
  }
]

Whale transaction (_type: "whale_tx"):

[
  {
    "_type": "whale_tx",
    "txid": "f2c9a1b7...",
    "value_btc": 152.4,
    "fee_sat": 4500,
    "vsize_bytes": 250,
    "fee_rate_sat_vb": 18.0,
    "mempool_url": "https://mempool.space/tx/f2c9a1b7..."
  }
]

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Data fields

Field	Type	Description
fastest_fee_sat_vb	integer	Next-block fee estimate in satoshis per virtual byte
half_hour_fee_sat_vb	integer	Fee for ~30-minute confirmation
hour_fee_sat_vb	integer	Fee for ~1-hour confirmation
economy_fee_sat_vb	integer	Economy fee (low priority, may take hours)
mempool_pressure_index	float	Composite congestion score 0–100
network_congestion_level	string	clear, light, moderate, heavy, or severe
optimal_fee_strategy	string	normal, rbf_friendly, or cpfp_needed
fee_savings_vs_high	object	Satoshi savings at medium vs. fastest fee for a 250-byte tx
whale_tx_dominance_pct	float	Percentage of pending mempool value from whale-sized transactions
mempool_trend_1h	string	rising, falling, or stable over the past hour
next_difficulty_change_pct	float	Projected percentage change at next difficulty epoch

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Cost estimation

This Actor uses Pay-Per-Event (PPE) pricing at $0.002 per snapshot run (whale txs in the same run are included at no extra charge).

Scenario	Runs	Estimated cost
One-off fee check	1 run	$0.002
Hourly monitor (30 days)	720 runs	$1.44/month
Every-5-minute monitor (30 days)	8,640 runs	$17.28/month
Every-minute monitor (30 days)	43,200 runs	$86.40/month

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FAQ

Q: What data source does this Actor use? All data comes from mempool.space — the canonical open-source Bitcoin mempool explorer. No API key or authentication is required. At single-actor polling frequency, rate limits are not a concern.

Q: How accurate is the fee recommendation? The fee tiers map directly to mempool.space's own fee estimation endpoint, which is the same data used by major Bitcoin wallets. They are estimates, not guarantees — actual confirmation time depends on miner selection and mempool conditions at broadcast time.

Q: Can I use this for automated fee bumping (RBF/CPFP)? Yes. The optimal_fee_strategy field tells you which mechanism is appropriate given current mempool conditions. Your application can consume this field to decide when to broadcast RBF replacements or CPFP child transactions.

Disclaimer: Fee estimates are informational. Network conditions change rapidly — always validate before broadcasting high-value transactions. This is not financial advice.

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Live Sample Run

A real run with default settings (2026-06-10):

Field	Value
Dataset (JSON)	https://api.apify.com/v2/datasets/TjcJ4BcRMyj2fC0a7/items?clean=1&format=json
Dataset (CSV)	https://api.apify.com/v2/datasets/TjcJ4BcRMyj2fC0a7/items?clean=1&format=csv
Run summary (KVS)	https://api.apify.com/v2/key-value-stores/jIk21zNWpXKrCSjU7/records/SUMMARY
Run details	https://api.apify.com/v2/actor-runs/nZRcKf2UliosAcqiS

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