Kaspa network hashrate (H/s) + difficulty trend from direct node measurement (Toccata RPC). Post-fork mining-security telemetry. Informational research data — not investment advice.

Recent Kaspa blocks (max 144 per call = $1.44 cap). Optional chain_only flag to filter selected-parent chain blocks. AI agent API for backtesters and indexers. Informational research data — not investment advice.

Kaspa circulating supply over time + emission rate + percent-mined. Captures accelerating geometric halving schedule. AI agent API for tokenomics tracking and supply-emission models. Informational research data — not investment advice.

Kaspa throughput & DAG-width: chain-block rate, estimated total DAG rate, TPS vs multi-month pre-fork baseline — hardfork impact tracking. Informational research data — not investment advice.

Kaspa Toccata hardfork tracker: live activation distance, network-measured ETA, post-fork parameter reference. First-mover fork analytics from direct network measurement. Informational research data — not investment advice.

Get coin-specific network stats — TAO (Bittensor subnet data, stake ratio), KAS (hashrate, DAG tips, difficulty), XLM (ledger stats, tx counts), ALGO (round, protocol), QUBIC (tick, epoch). AI agent API for L1 network health monitoring and fundamental analysis.

Get historical OHLCV candlestick data for 116 cryptocurrencies — open, high, low, close prices with sample count per candle. Intervals: 15min, 1hour, 4hour, 1day. Up to 90 days of history for BTC, ETH, SOL, and 113 more coins. AI agent API for technical analysis, charting, backtesting data feeds, and price history retrieval.

3-way oracle consensus (DIA + Pyth + CoinGecko) per coin. Returns latest from each source, pairwise spreads, median consensus, outlier detection. Use cases: high-trust price verification, oracle manipulation detection. Informational only.

Pyth oracle vs CoinGecko spot divergence per coin. Returns spread stats and recent threshold exceedances. Use cases: oracle arbitrage signal, data quality alerts. 28 coins. Informational only.

Get Binance L2 orderbook microstructure for 15 crypto assets — bid/ask volume imbalance, spread in basis points, bid wall ratio, ask wall ratio. Institutional-grade depth analysis for BTC, ETH, SOL, and 12 more. AI agent API for order flow analysis, market making signals, and liquidity assessment.

Analyze portfolio risk for 2-10 crypto assets — returns Value-at-Risk (95%/99%), Conditional VaR, annualized volatility, Sharpe ratio, Sortino ratio, maximum drawdown, full correlation matrix, per-asset risk breakdown, and diversification ratio. Custom portfolio weights supported. AI agent API for portfolio risk management, position sizing optimization, and institutional-grade risk analytics.

Quant Research Suite — 5 cross-sectional + statistical analytics for a pair/universe. Includes rolling-correlation (Pearson), beta-to-BTC (OLS + rolling), cointegration (Engle-Granger + ADF + OU half-life), dispersion (cross-sec vol + clusters), rotation (sector ranks). Pairs-trading + regime-shift research tool. Separate sum: $0.52. Bundle: $0.40 = 23% discount. Informational research data — not investment advice.

Research + Replica Bundle — LLM daily report + per-coin deep dive + verifiable FTMO track record. Agents get current market narrative, coin-specific context, AND proof of our strategy's real-money performance (passed $100k challenge, 81.25% WR). Separate sum: $1.75. Bundle: $1.40 = 20% discount. Informational research data — not investment advice.

LLM-generated per-coin research deep-dive: 30-day price action context, 30d range analysis, derivatives positioning (funding + OI), volatility observations, technical state, structural notes. 600-900 words across 6 sections. Symbol passed as path param (e.g. /v1/research/BTC). Cached 6h. Informational research data only — not investment advice.

Batch sentiment classification for up to 50 texts in one call. Same heuristic as /v1/sentiment-analyze. Returns per-item result + aggregate impact_distribution + sentiment_distribution. Cheaper per-item than calling singular endpoint repeatedly (~$0.001/item at batch). Use cases: bulk-content-classification, news-feed analysis, social-media triage. Informational classification only — not investment advice.

Historical directional accuracy of our ML signal models for a specific coin. Per-model hit rate, edge-vs-coinflip in bps, calibration check, confidence-bucket breakdown over 7d/30d/90d windows. Verifiability layer for signal endpoints. Informational only.

Run quantitative research backtests on 30-90 days of historical crypto data — two research methodologies: analyst_v3 (multi-factor data fusion) and funding_monitor (contrarian funding rate analytics). Returns full trade list, win rate, Sharpe ratio, max drawdown, profit factor, and p-value for statistical significance. Covers 34 crypto assets. Quantitative research data for AI agents and analytics — informational purposes only, not investment advice.

ML-derived directional probability from 5-model ensemble — XGBoost, LightGBM, LSTM neural network, Adaptive Random Forest, and MetaLearner. Returns directional probability, confidence, and per-model agreement for BTC, ETH, SOL, TAO, KAS, XLM, QUBIC. Quantitative research data for AI agents and analytics — informational purposes only, not investment advice.

Top stablecoin supply changes over 1d/7d/30d window. 50 top stables tracked from DefiLlama, hourly snapshots with prev_day/week/month deltas. Returns top-N by absolute delta, growth %, or current size. AI agent API for stablecoin migration tracking, crypto-macro indicator (total supply trend = risk-on/off proxy), and de-peg risk monitoring (sudden contraction). Backed by market_data.stablecoin_supply (50 stables × hourly = 36k rows/month). Informational research data only.

Recent per-block aggregation of Bittensor events: neuron_registrations, weight_sets, bond_sets, child_key_sets, stake_added/removed, root_claimed, balance_transfers + total TAO.

Filtered Bittensor substrate event stream from finalized blocks. Module/event filters supported. Captures events that disappear from public lite-node APIs.

All Bittensor substrate events for a single finalized block (event_idx, phase, module_id, event_id, attributes). AI agent API for detailed forensic analysis of specific blocks. Informational research data — not investment advice.

EVM-on-Bittensor Ethereum.Executed call count per hour. Tracks TaoEVM dApp adoption. AI agent API for cross-VM adoption analysts. Informational research data — not investment advice.

Bittensor NeuronRegistered count per hour. Tracks new neurons joining subnets — useful for detecting subnet growth/decay and registration-burn pressure. AI agent API for subnet-health analysts. Informational research data — not investment advice.

Bittensor BalancesTransfer count + total TAO volume per hour. AI agent API for TAO whale-watch and treasury-movement monitoring. Informational research data — not investment advice.

Bittensor WeightsSet + TimelockedWeightsCommitted/Revealed activity per hour. Tracks validator weight-setting cadence and the post-2025 anti-frontrun mechanism. AI agent API for validator-behavior analysts. Informational research data — not investment advice.

Get DeFi yields across 200 pools and 85 protocols — Aave, Compound, Lido, Pendle, Uniswap, Curve on Ethereum, Arbitrum, Base, Polygon. Filter by chain, protocol, minimum APY. Returns APY and TVL per pool. AI agent API for yield farming optimization, DeFi portfolio allocation, and best yield discovery.