All projects matching “readability score”

Compute the standard English readability formulas — Flesch Reading Ease, Flesch–Kincaid grade, Gunning fog, SMOG, Coleman–Liau and ARI — along with the underlying sentence/word/syllable statistics. Empty text is a clean 400.

Know Your Merchant (KYM) trust score: pass a merchant domain and get a deterministic 0-100 trust score with a band (high/medium/low/very_low/avoid) and human-readable reasons. Live signals: domain age from the RDAP registry of record, malware/phishing blocklist verdict via Cloudflare Security DNS, TLS certificate health, mail capability, and refund/privacy/contact page presence. The merchant-side

Prioritize up to 50 CVEs in one request using FIRST EPSS, CISA KEV, and known ransomware signals. Returns deterministic risk scores, urgency tiers, exploitation signals, vendor/product context, and remediation metadata as machine-readable JSON. Built for security automation and AI agents. No account or API key required. $0.01 per successful request via x402. Invalid input, no-signal results, and t

Order a full purchase test of any online store by an AI shopping agent: access, cookies, search, product page, cart, checkout, plus shipping, returns and guest-checkout facts with proof, UCP and machine readability. Same method as Neoavis public tests, private result with screenshots and a summary, score out of 100. Returns an order id and a result URL to poll; result usually within the hour.

Structured evaluation with TypeSafe's Jev (System One) model. Send any state plus typed questions — noul (true/false), choice (pick one), or score (ordinal scale) — and get back calibrated probabilities and confidence for each. Built for routing, classification, triage and policy checks where a fast, predictable, machine-readable answer beats prose.

Structured evaluation with TypeSafe's Jev (System One) model. Send any state plus typed questions — noul (true/false), choice (pick one), or score (ordinal scale) — and get back calibrated probabilities and confidence for each. Built for routing, classification, triage and policy checks where a fast, predictable, machine-readable answer beats prose.

Structured evaluation with TypeSafe's Jev (System One) model. Send any state plus typed questions — noul (true/false), choice (pick one), or score (ordinal scale) — and get back calibrated probabilities and confidence for each. Built for routing, classification, triage and policy checks where a fast, predictable, machine-readable answer beats prose.