cryptocurrency-risk-analysis

Scan an entire public GitHub repo for malicious AI-skill/supply-chain patterns. Requires `repo`. No repo in mind? POST /audit/registry runs this same scanner over the newest servers in the official MCP registry: no input required, $0.005.

Analyze Google search results for a keyword. Returns organic results, featured snippet, People Also Ask, SERP features. Google SERP analysis for SEO and keyword research: ranking pages, featured snippet owner, PAA questions, related searches, and which SERP features appear (knowledge graph, AI overview, videos, shopping, local pack, ads), by country and language.

One-call crypto market regime: total market cap and 24h change, Fear & Greed sentiment, and perp funding/open interest, resolved into risk-on / neutral / risk-off plus a crowded-long / crowded-short positioning read. Surfaces leverage fragility that price alone does not show.

Known security advisories for a package from OSV, with severity and the versions that fix each one. Pass version to narrow to one release.

Scan supplied code with transparent deterministic rules for common secret, injection, shell, weak-hash, and Solidity risks. This is not a professional audit.

Agent payments have no chargeback. Paddock is pre-payment verification for AI agents. get_changes diffs today against any snapshot up to 90 days back: new sellers, retired sellers, category share shifts and top movers.

Single higher-value composite report for one domain: DNS resolution, TLS/SSL certificate validity and issuer, RDAP/WHOIS registration and nameservers, and email deliverability (MX/SPF/DMARC) signals, plus a derived trust score and risk band. Built entirely from already-cleared, already-live internal capabilities (domain-dns-check-v1, domain-ssl-check-v1, domain-whois-lookup-v1, email-domain-deliverability-check-v1) -- no new source, no new licence question, no proprietary reputation database.

Reliability intelligence for any US-market vehicle: every consumer defect complaint on file for a year/make/model (or VIN) aggregated into a ranked top-failure-components report — complaint counts and percentage share per component, plus crash, fire, injury, and death totals. One call answers 'what actually breaks on this car?' For buy/avoid decisions, warranty pricing, and inspection checklists. Response includes affiliate offers for full VIN history reports.

Detect material state changes in NAV, income, maturity, redemption and freezes

Describe a screen in plain English via `?q=` (e.g. 'oversold large caps up today on high volume'). An LLM parses it into a filter, screens the entire US market, optionally confirms oversold/overbought with RSI, and returns a ranked shortlist with a one-line rationale per name. No need to know the filter schema or run the enrichment loop yourself. From x402stock

Analyse supplied CFD convergence, continuity, mass-flow and provenance evidence against declared v1 acceptance criteria. Returns calculated measurements, reasons, hashes and limitations; no formal engineering certification.

Aggregate trading scorecard for any Base address from its closed leverage history: trades, wins/losses, win rate, net USD, gross profit / loss, profit factor, mean R-multiple expectancy, avg win / loss, best / worst trade. GET /v1/stats/{address}. The "am I actually good" read- and the input to a risk-sizing agent.

Run a low-cost token security audit and honeypot check using current automated GoPlus risk fields for a supported EVM contract. These third-party signals are not a guarantee of safety.

Valuation, profitability, growth, and trading metrics

Valuation, profitability, growth, and trading metrics

Package intelligence across npm, PyPI and crates.io in one call: latest version, license, repository, dependencies and download counts

Single-call combined pre-trade security check - runs token-risk and contract-health-audit in parallel against the same GoPlus data and returns both, plus a deduped union of risk_flags. No composite score or letter grade is computed - every field is copied unchanged from the two underlying checks. Paid in USDC on Base.

Computes a Flesch reading-ease score, average sentence length, and estimated reading time for any block of text, alongside character, word, and sentence counts. For content QA gates, editorial tooling, and agents that need to confirm text hits a target readability level before publishing.

Identify capability shortages from verified demand and provider supply

Detect self and reciprocal transaction patterns without treating correlation as fraud

Audit an Apify actor before you spend on it. Send one actor ID (e.g. apify/instagram-scraper) and find out if it is reliable, if it returns the fields it advertises, and what it really costs per usable item. Scored against unlimited criteria: 23 pre-built ones, deep-scan criteria measured from live funded runs, or your own rubric in plain English. Compare actors and pick the best one. Returns JSON with per-criterion scores, evidence and a verdict.

Run a transaction simulation and EVM safety preflight with gas, destination proxy evidence, and optional token security and allowance checks in one decision-ready report.

HTTPS certificate inspector: retrieves the full TLS certificate detail for any domain, including the subject-alternative-name list and whether the certificate currently validates. Deliberately still returns data for expired or broken certificates so monitoring tools can flag exactly what is wrong. For security screening and scheduled compliance checks.

Six-check network forensics scan against a fixed canonical target basket. TLS, DNS, CT, NTP, portal, route. Result hash anchored on-chain to Base.