cryptocurrency-risk-analysis

Heuristic risk score for seed phrases, urgency scams, fake airdrops, and wallet-drain patterns.

Multi-source intelligence check: claim + 2-4 source URLs; cited passages, cross-source agreement, verdict: consistent | conflicting | insufficient_evidence. Evidence, not truth. Use when your agent needs to verify a claim against independent sources before acting on it. Give a claim plus 2-4 source URLs; each source is extracted (three-fetch cross-check, confidence-scored), the checkable figures are compared across sources, and you get the cited passages plus a verdict: consistent (sources report the claim's figures), conflicting (sources agree with each other on different figures), or insufficient_evidence. This sells evidence, not truth — the verdict describes source agreement and says so. One $0.03 call replaces three separate extractions plus your own comparison. Money Mind sells judges, not strategies. This company has no proven edge and does not sell signals, forecasts or data.

Experimental evidence-gated XRP structural scarcity intelligence combining supported supply, native XRPL, macro-transmission and derivatives factors with explicit missingness, trends and limitations. Purpose: Measure whether marginal liquid XRP is becoming harder to source without inventing unavailable ETF or exchange-balance evidence. 15-minute freshness target; missing evidence is reported explicitly rather than invented.

Deep risk scoring for a wallet before your agent pays it. Base: contract vs EOA, tx count, ETH balance, USDC balance, vanity patterns, zero/low activity. Solana: recent signatures, SOL balance, USDC token accounts, activity flags. Returns riskScore (0-1), label (low|medium|high|critical), flags[], metrics, and recommendation (safe_to_pay|review|avoid). Designed for agents that need to decide whether to trust a counterparty wallet.

Use for one-call market situational awareness before any trade or answer. Returns breadth (bullish/bearish share), average buy pressure, market regime and the top momentum, activity, buying and selling assets plus fresh events across crypto and tokenized US equities.

Premium synthesis of CFTC asset-manager and leveraged-fund positioning, weekly changes and cross-class divergence across 5 financial-futures contracts. Purpose: Summarise institutional and leveraged positioning breadth across treasury positioning regime while exposing missing contracts and disagreement rather than producing a market-return forecast. 168-hour freshness target; missing evidence is reported explicitly rather than invented.

Premium synthesis of CFTC asset-manager and leveraged-fund positioning, weekly changes and cross-class divergence across 4 financial-futures contracts. Purpose: Summarise institutional and leveraged positioning breadth across equity index positioning intelligence while exposing missing contracts and disagreement rather than producing a market-return forecast. 168-hour freshness target; missing evidence is reported explicitly rather than invented.

Counterfactual Invalidation Monitor. Evaluates the quality, disagreement, transmission, composition or verification of Edge intelligence itself. Purpose: Increase the defensibility of downstream decisions by making evidence quality and model limitations machine-readable. 5-minute freshness target; missing evidence is reported explicitly rather than invented.

FINNPUTER deep token safety scan (clusters + forwarded supply)

Returns a perpetual-futures decision package for BTC, ETH, SOL, XRP, or ADA: direction LONG / SHORT / FLAT from the Kronos signal, stop-loss and take-profit on the calibrated 80% range, a leverage cap that keeps liquidation outside 2x the stop, liquidation price, risk-based position size for your equity and max loss, and live perp funding cost over the horizon — turns a bearish signal into a sized short instead of staying out. No exchange execution; market intelligence only.

AI safety incident exposure analytics. Per-developer and per-deployer incident counts with recency-weighted exposure_score (1.0 last 30d, 0.5 days 31-90, 0.25 older), risk_domain and SEP-view (Security/Ethics/Performance) distributions, top affected artifacts. Derived over the AVID (avidml/avid-db, MIT) snapshot refreshed daily. The "which AI vendors have the most recent reported safety incidents" call.

AI-package security radar. Per-package risk_score (0-100) over the daily OSV snapshot of curated AI/ML PyPI + npm packages: critical_count_30d * 25 + high_30d * 12 + critical_90d * 6 + high_90d * 3 + min(open_count, 20) + 5 if any advisory in last 7d, saturated to 100. Risk_band classifications (calm <10 / watch 10-25 / hot 25-50 / critical 50+) plus notable_movers (top-5 by_critical_30d, by_risk_score, new_in_last_7d). The "which AI deps should I be worried about right now" call.

Scores current short-horizon market danger from shocks, dispersion, breadth and sentiment. Purpose: Give automated portfolios a transparent risk posture and the evidence behind it. 5-minute freshness target; missing evidence is reported explicitly rather than invented.

Detects whether major altcoins are broadly outperforming Bitcoin and identifies the rotation leader. Purpose: Measure evidence of capital rotating between Bitcoin and major altcoins. 5-minute freshness target; missing evidence is reported explicitly rather than invented.

MLB historical trends — multi-season analysis, team trajectory, agent research reports with AI-powered insights

Premium twelve-indicator structural macro profile for United States, covering growth, inflation, labour, external balance, trade, savings, investment, reserves, real rates and central-government debt where available. Purpose: Provide an autonomous agent one normalized United States structural macro brief with explicit coverage, latest observation years and missing indicators. 24-hour freshness target; missing evidence is reported explicitly rather than invented.

Premium twelve-indicator structural macro profile for Australia, covering growth, inflation, labour, external balance, trade, savings, investment, reserves, real rates and central-government debt where available. Purpose: Provide an autonomous agent one normalized Australia structural macro brief with explicit coverage, latest observation years and missing indicators. 24-hour freshness target; missing evidence is reported explicitly rather than invented.

Premium twelve-indicator structural macro profile for Saudi Arabia, covering growth, inflation, labour, external balance, trade, savings, investment, reserves, real rates and central-government debt where available. Purpose: Provide an autonomous agent one normalized Saudi Arabia structural macro brief with explicit coverage, latest observation years and missing indicators. 24-hour freshness target; missing evidence is reported explicitly rather than invented.

Strategic Scenario Engine. Combines macro, market and risk evidence into strategic scenarios, timing questions and option-value context. Purpose: Improve strategic choices by making assumptions, reversibility, triggers and evidence gaps explicit. 15-minute freshness target; missing evidence is reported explicitly rather than invented.

Signal Decay & Model Drift Monitor. Evaluates the quality, disagreement, transmission, composition or verification of Edge intelligence itself. Purpose: Increase the defensibility of downstream decisions by making evidence quality and model limitations machine-readable. 5-minute freshness target; missing evidence is reported explicitly rather than invented.

Use to set risk posture. Returns the current market regime (bullish, bearish or mixed) with breadth, average buy pressure, average momentum and the leading assets.

0-100 safety score with components (protocol trust, TVL depth, audits, track record), observed and risk-adjusted APR, and whether STB's Auto-Defense would exit — for every vetted stablecoin vault, or one by ?venue=<id|pool address>.

Find semantically similar prediction markets given an event_ticker.

Premium stablecoin market-structure stress framework combining observed supply contraction, concentration, evidence coverage and RLUSD native liquidity stress while keeping independent USD peg and reserve-quality assessments unavailable. Purpose: Measure supported stablecoin market-structure fragility without claiming issuer solvency, reserve quality or peg integrity that is not directly observed. 15-minute freshness target; missing evidence is reported explicitly rather than invented.