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BTC Game Theory & Network Security Analysis
x402
BTC Game Theory & Network Security Analysis is a paid API for AI agents from the-stall.intuitek.ai, paid per call via x402, $0.136/call, status unknown (last checked 2026-09-14).
Returns real-time Bitcoin game theory metrics including 51% attack cost, selfish mining threshold, Nash equilibrium status, fee pressure, and difficulty cycle data.
Price / call$0.136
Success—
StatusUnknown
How this service works
Bitcoin mining game theory and systems dynamics in one call. Returns: selfish-mining profitability threshold (Eyal-Sirer), 51%-attack electricity cost estimate, fee-vs-subsidy revenue split, difficulty epoch trajectory (expansion / contraction / neutral), Nash-equilibrium state for honest mining, and current epoch progress. Sourced from mempool.space and CoinGecko — no API key required. Use for miner-incentive analysis, network security assessment, and pre-investment regime detection.
Output
A JSON object with three sections: (1) network — current block height, BTC price in USD, and hash rate in EH/s; (2) game_theory — daily block subsidy, fee-to-subsidy ratio, 24h and hourly 51% attack costs in USD, selfish mining threshold percentage, daily fee revenue in BTC, and a boolean indicating whether honest mining is currently the Nash equilibrium; (3) systems_theory — current and fastest fee rates in sat/vB, fee pressure state label, difficulty epoch progress and projected change percentages, blocks until retarget, estimated retarget date, difficulty loop state label, and a human-readable security trend summary string.
Example use cases
Example prompt
“Give me a full Bitcoin game theory and network security analysis right now — I want to know the 51% attack cost, whether honest mining is the Nash equilibrium, selfish mining threshold, current fee pressure state, and when the next difficulty retarget is expected.”
Technical details
Endpoint
GEThttps://the-stall.intuitek.ai/cap/btc-game-theoryWhen to prefer
Use this endpoint when you need a synthesized, real-time view of Bitcoin's economic security posture — combining raw network stats (hash rate, price, block height) with derived game-theoretic metrics (attack cost, Nash equilibrium, selfish mining threshold) and systems-level signals (difficulty cycle state, fee pressure) in a single call. Prefer this over manually querying block explorers or mempool APIs when you need pre-computed attack cost and incentive analysis without building the math yourself.
Side effects
- Upstream Bitcoin node or data provider unavailable — may return 5xx or stale data
- Invalid properties parameter value — likely ignored or returns full payload
- Payment not confirmed on Base mainnet — 402 response requiring USDC payment
- Network congestion causing delayed block height or hash rate data
Input
{
"properties": "game_theory_analysis"
}Schema · Request body
| Field | Type | Description |
|---|---|---|
| properties | string |
Output
{
"network": {
"block_height": 953327,
"btc_price_usd": 63554,
"hash_rate_ehs": 932.13
},
"game_theory": {
"subsidy_btc_day": 450,
"fee_subsidy_ratio": 0.008656,
"attack_cost_24h_usd": 15972957,
"fee_revenue_btc_day": 3.9294,
"selfish_mining_threshold_pct": 33.33,
"attack_cost_51pct_per_hour_usd": 665540,
"honest_mining_nash_equilibrium": true
},
"generated_at": "2026-06-12T05:08:23.568Z",
"systems_theory": {
"security_trend": "Hash rate weakening (-10.48% next retarget). Miner revenue 99.1% subsidy / 0.9% fees. 51% attack costs ~$15,972,957/day.",
"economy_fee_sat_vb": 1,
"fastest_fee_sat_vb": 3,
"fee_pressure_state": "LOW",
"blocks_until_retarget": 241,
"difficulty_loop_state": "CONTRACTING",
"estimated_retarget_date": "2026-06-14T02:01:54.359Z",
"difficulty_epoch_progress_pct": 88.05,
"difficulty_projected_change_pct": -10.4774
}
}Tags
x402
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