cryptocurrency-risk-analysis

Cross-sectional z-score scanner across 200+ assets and 440+ metrics. Pick a metric and threshold; get ranked triggering assets with z, percentile, returns, composite score, and per-metric health grading. Live anomaly hunting.

Audit your own delimited data against a contract you declare, and get one pass/fail plus the exact row and clause of every breach. Checks types, required values, enums, numeric bounds, lengths, patterns, uniqueness, composite primary keys, null-rate ceilings, header drift and encoding damage in one pass. A pass means the audit was complete and nothing broke, so a file beyond the bounds reports incomplete rather than passing. Nothing is fetched: you supply the rows.

Every canonical setup evaluation for a given day, filterable by state (fires / boundary / silent / first_ever), factor family, or asset. Includes z_scores per metric, distance_to_trigger, confidence. Distance is measured in sigma — positive = past threshold, negative = short of threshold. Boundary + first_ever states are the highest-signal reads. Applicable across the CRYPTYX 200+ asset coverage universe (BTC, ETH, SOL, top-cap + long-tail); backtested scope is the 33-asset curated slice.

Research and market-monitoring agents buy this endpoint to answer a focused question with a compact live market snapshot.

Scan one bounty / task / repository URL before working on it: fetches it (GitHub issues and repos via the API), runs the honeypot pattern scan (hidden HTML-comment instructions, prompt injection, credential requests, fork/star anomalies, dead or archived repos, reward anomalies) and returns a trust score, a label and every flag with its reason.

Price alert check: has an asset moved past your threshold?

Audit one OpenAPI document for whether a client or documentation generator can actually work from it. Reports operations with no operationId or description, duplicated operationIds that no generator can resolve, parameters with no schema or no location, responses with no description, and security requirements naming a scheme the document never defines.

Market-regime classification for monitored assets: trend / chop / stress labels from live features. Used by the swarm, not a delayed blog call.

Used Car DeepCheck is an AI-ready pre-purchase used car valuation, vehicle pricing, and deal analysis API for buyers and agents. Use it before buying a used car to check if the asking price is fair, compare live dealer listings, estimate market value, fair value, negotiation target, and maximum buy price, then return BUY, NEGOTIATE, or WALK AWAY. Supports Canada and U.S. markets with optional VIN, mileage, trim, location, listing history, and market-turnover intelligence.

Composite trust and safety check for a domain: domain-to-IP resolution, multi-region website verification (screenshots plus Core Web Vitals via UpRock Verify), and IP intelligence (geolocation plus proxy/VPN detection) rolled into a single 0-100 trust score and verdict. Built for trust and safety, compliance, brand protection, anti-fraud, and monitoring whether a site is live, performant, and hosted where it claims to be.

Compare two snapshots of captured challenges and report every price movement per resource. Amounts are compared as exact integers, so a large atomic amount is never collapsed by floating point. Reports a resource that was priced before and is absent after, a rise beyond a tolerance you set, and a new resource that appeared. Nothing is paid.

Run a bounded deterministic preflight scan for possible private keys, secret assignments, permissive CORS, debug mode, insecure HTTP, and invalid JSON. Not a comprehensive security audit.

Premium CASSIA opportunity intelligence

AI-powered code review. Returns bugs, improvements, and security issues.

Deep fact-check with claim decomposition. Breaks compound claims into sub-claims (max 5), verifies each against source. Deterministic overall verdict.

Use to check whether two series move together ($0.01), e.g. returns of two assets or a signal versus outcomes: send equal-length x and y; get Pearson r (default) or Spearman rank correlation, r-squared and direction. Deterministic decimal math on your numbers, nothing fetched.

Deterministically score a task brief for deliverables, acceptance criteria, deadlines, constraints, and usable scope before committing time. No AI calls; same brief always yields the same score.

Web search top 10 organic results

Detect recursive agent-commerce loops, repeated purchases, delegation depth breaches, fan-out amplification, and bounded projected spend before an autonomous purchase proceeds.

Identify supplied continuity-risk signals without identity, fraud, or wrongdoing claims.

Scan supplied recommendation, seller, and relationship evidence for conflict-of-interest review signals.

Analyze operation-level risk inside consolidated MCP tools. Returns evidence-backed ALLOW, DENY, or REQUIRE_APPROVAL decisions, retry semantics, schema-drift status, and a deterministic operation effect ID. Designed for MCP tools whose command/action arguments expose operations with different risk levels.

Polymarket events with all their markets: elections, Fed decisions, sports, crypto... Each event with the probability of every option (candidate, rate range, team), volume and close date; top by volume or matching a search.

Technical analysis of any Hyperliquid perpetual (crypto, stocks, commodities): RSI, MACD, EMA 20/50/200, Bollinger bands, ATR, stochastic, annualized volatility, recent highs/lows, relative volume, trend and volatility regime, and a list of signals. Intervals 15m, 1h, 4h, 1d.