cryptocurrency-risk-analysis

ADX-based chop-vs-trend detector for an asset/timeframe: is price trending or stuck in a range? Returns a boolean + chop score. Use to avoid trend strategies in chop (and range strategies in trends).

See what AI models say about a brand right now. Runs category and reputation prompts across multiple AI engines (one web-grounded), then reports whether the brand is mentioned, its position vs competitors, sentiment, the exact descriptors used, gaps, and concrete recommendations. JSON report.

SOL perp trading regime — 10-signal classification with bias, confidence, risk. 30s cache. Ed25519 signed. — Ed25519 signed attestation

Scan any EVM wallet address or ENS name for on-chain risk signals using Web3 Antivirus. Returns a toxic score, risk level, and the specific risk categories that triggered a flag. Designed for off-ramp compliance: use shouldFlag to block or escalate — any non-zero toxic score means the wallet has been flagged for at least one risk category such as sanctions, scams, mixers, or phishing.

Scans BTC+ETH+SOL perp regimes simultaneously. Returns highest-confidence setup with signal_alignment, edge, invalidation_conditions, market_bias. Layer 3 Oracle Intelligence. — Ed25519 signed attestation

Author metrics for research agents and grant/hiring due-diligence — works count, total citations, h-index and i10-index (OpenAlex summary stats), a 10-year output/citation trend, affiliation timeline, and an honest disambiguation-confidence flag when the name search surfaces multiple plausible candidate profiles.

Institution research-output benchmark for grant offices, research-strategy agents, and comparison shopping — works count, total citations, h-index/i10-index, a 10-year output/citation trend, and topic-strength breakdown (OpenAlex). Optionally benchmark two institutions side by side.

Arbitrage stakes, expected value, Kelly criterion and profit calcs for racing bets. For betting and value-betting agents.

Search, filter, and sort prediction markets across exchanges.

AI-generated market insight for a given topic

Deterministic readability scores (Flesch, Flesch-Kincaid, Gunning Fog, SMOG, Coleman-Liau, ARI) over published formulas. For long text use POST. Signed.

Polymarket API and prediction market API for agents. Returns prediction market signals, market snapshots, order books, and ranked opportunities.

Prediction market arbitrage and same-outcome spread API for Polymarket, Kalshi, and Gemini. Finds YES or NO price gaps across venues.

Polymarket API for builder stats. Ranks prediction market creators by volume, active users, verification, and period comparisons.

Risk screening for EVM wallet addresses. Returns a 0–100 risk score and individual flags: sanctions (OFAC/other), phishing activity, cybercrime, money laundering, darkweb transactions, mixer usage, stolen funds, fake KYC, and 12 more categories. Sourced from GoPlusLabs (free, no key, chain_id optional — defaults to checking cross-chain). Use before sending funds to an unknown address, before accepting a payment, or when validating a counterparty wallet in a DeFi workflow. Distinct from evm-toke

Classify text (and optional image URLs) for harmful content — hate speech, harassment, self-harm, sexual content, violence, and illicit instructions. Returns flagged status, risk level (NONE/LOW/MEDIUM/HIGH), flagged categories, per-category confidence scores, and an optional AI-generated safe rewrite.

Polymarket whale intelligence for a given proxy wallet address. Returns recent prediction-market trades (market title, outcome, side, size in USDC, price, timestamp) and current open positions (title, size, avg price, current value, unrealized PnL). Infers whale tier (whale/shark/dolphin/minnow) from trade sizes. Use for copy-trading signal generation, market-sentiment cross-reference, or on-chain agent behavior profiling. Free upstream: Polymarket public data API.

Scan a public domain with nuclei (OSS) for exposed vulnerabilities and get a prioritized report: findings by severity, top matches, and a verdict an agent can act on. Runs as a governed on-demand docker job (one at a time, memory-capped).

Classify US equity market regime (BULL/CORRECTION/BEAR/SIDEWAYS/RISK_OFF) from 5 signals: SPY SMA50/200 trend, VIX level and trend, HYG/IEF credit spread, 10-yr yield, and QQQ/IWM momentum divergence. Returns regime label, per-signal scores, composite confidence 0-100, and narrative summary.

Detects testing frameworks and test coverage presence in a code snippet or GitHub repository. For code snippets: identifies test functions, assertions, mocks, fixtures, and frameworks (Jest, pytest, go test, JUnit, RSpec, etc.). For GitHub repos: counts test files vs source files, surfaces config files, and gives a coverage verdict. No code execution — pure static analysis.

Retrieve private company deal intelligence including funding rounds, valuations, investors, M&A activity, and ownership changes.

Get an email trust score and analysis for an email address. Validates deliverability, identifies disposable/temporary addresses, and provides risk assessment with a numeric trust score from 0-99.

Identify and categorize a company's primary industry classification with standardized NAICS and SIC codes, sector and subsector details, business activity description, and a confidence score.

Identify and analyze a company's primary competitors with detailed comparison information including market positioning, products, and competitive advantages.