Web & Data

Extract structured data from a CV/resume. Accepts PDF URL, base64, or text. Returns name, contact, experience, education, skills, certifications.

Detect and redact personally identifiable information (PII) from text. Identifies names, emails, phone numbers, national ID numbers (Swedish personnummer, Finnish henkilötunnus, etc.), addresses, and more.

Generate a structured blog post outline. Returns title options, sections with subsections and key points, estimated word count, SEO keywords. JSON, not prose.

Extract structured data from any URL using a caller-defined JSON schema. Browserless renders the page, AI maps content to your schema.

Screens a person or company for adverse news coverage across 235,000+ sources via Dilisense (primary) with Serper Google search fallback. Returns audit-grade evidence: risk level with documented thresholds, FATF-aligned category counts, top article headli…

Extract skills from job descriptions or CVs. Categorizes 500+ skills into technical, soft skills, tools, certifications, languages.

Detect technologies used by a website. Identifies CMS, frameworks, analytics, CDN, payment providers, marketing tools from HTTP headers and HTML patterns. No Browserless needed.

Look up geographic location, ISP, and network information for an IP address. Detects proxies and hosting providers.

Validate and standardize a postal address. Returns structured components, validity confidence, and suggested corrections. Works for 200+ countries via OpenStreetMap Nominatim.

Check username availability across 7 platforms: GitHub, YouTube, TikTok, Reddit, Pinterest, npm, PyPI.

Generate realistic fake data matching a schema. Locale-aware: Swedish names for 'sv', Japanese for 'ja'. Up to 1000 records.

Fetch any web page — even behind anti-bot walls — convert to clean markdown, and strip PII automatically. Ready for your RAG pipeline.

Query audit trail by actor, action, resource, time range.

[3-LEG] Hurricane chain, one basin (?entity=atlantic|epacific|cpacific): leading NHC official 2-day and 7-day genesis probability, QUOTED from NHC, never our forecast -> current active storms - category, wind, pressure, position -> realized official watches, warnings, landfall (confirmation gate). A sequential chain, not one reading - confidence = how many legs are lit, in order. Sources: NOAA NHC. Descriptive only, never a forecast or advice. No data -> 422 no_charge, not billed.

[3-LEG] Severe convection and hail chain, one convective region (?entity=tornado-alley-core): leading SPC Day-1 outlook with CAPE, CIN and shear - hours of lead -> current current storm reports -> realized realized hail and wind damage reports (confirmation gate). A sequential chain, not one reading - confidence = how many legs are lit, in order. Sources: NOAA SPC. Descriptive only, never a forecast or advice. No data -> 422 no_charge, not billed.

Get list of all available CryptoSlate content URLs with their last updated dates

LastLook Data — most recent value for any supported FRED series. Use ?id=IORB, ?id=EFFR, ?id=MORTGAGE30US, ?id=FEDFUNDS, ?id=DGS10, etc.

LastLook Data — value for any supported FRED series on a specific date. Use ?id=SERIES_ID&d=YYYY-MM-DD. Business days only.

What is this website built with? Deterministic fingerprinting from one fetch — like the old meta generator tag, but it works even when sites strip it. Detects WordPress, Shopify, Squarespace, Wix, Webflow, GoDaddy, Drupal, Joomla, Ghost, Magento, Next.js/Nuxt/Gatsby/Astro and other frameworks, static HTML, custom PHP — with the evidence for the verdict, the raw generator tag when present, and the server/CDN stack. No AI.

Naive single-venue best execution: lowest precomputed slippage at the requested size. Excludes fees/funding/latency — baseline only.

Download counts for any npm package over the last day/week/month. For dependency-intel, due-diligence, and market-research agents. Live from the npm registry stats API.

Download counts for any npm package over the last day/week/month. For dependency-intel, due-diligence, and market-research agents. Live from the npm registry stats API.

Keyless fact-grounding: search Wikipedia for any topic and get the matching article titles with extract snippets and canonical URLs — the cheap knowledge read agents make to ground answers and reduce hallucination. Free upstream (Wikimedia API).

Keyless fact-grounding: search Wikipedia for any topic and get the matching article titles with extract snippets and canonical URLs — the cheap knowledge read agents make to ground answers and reduce hallucination. Free upstream (Wikimedia API).