β‘ Parse freeform addresses into unit, house number, street name/type, city, region, postcode and country β for US, UK, DE and FR patterns.
β‘ Know within hours when your app's rating slips or angry reviews spike. β
App Store and Steam ratings, rating counts and review sentiment tracked over time. β
Alerts on a rating drop or a negative-review spike, with built-in rating history.
β‘ Scrape app ratings and reviews from Apple's App Store, Steam and Google Play through their public endpoints. β
Star ratings, review text, versions, playtime, helpful votes. β
Filter to 1-2 star reviews to mine complaints, or by keyword like crash or refund.
β‘ Scrape open roles straight from companies' official job-board APIs. β
Greenhouse, Lever, Ashby, Workable, SmartRecruiters, Recruitee. β
Full descriptions, salary parsing, remote and seniority detection, cross-board dedupe. No anti-bot, nothing to break.
β‘ Know the day a new data breach is published. β
Watches the Have I Been Pwned breach catalogue and reports only what is new. β
Filter by company domain, exposed data type or size. No API key required β uses the public catalogue endpoint.
π― Score B2B leads with a weighted, fully configurable rubric, no LLM calls. β
Fixes the classic AI-scorer failure mode where every lead lands at a confident-sounding 70-80: a percentile-rank calibration pass stretches the batch across the full 0-100 range.
β‘ Profile any Chrome Web Store extension. β
User counts, ratings, review counts, version, developer and last-updated. β
Filter a competitor list by minimum users or rating. No browser, no API key.
π§Ή Upload one messy contact or company list and get back a clean, de-duplicated list ready to re-import into your CRM. β
Fuzzy name/email/phone/company matching, sensible zero-config defaults, plus a duplicates-to-review list and a full merge audit log explaining what was merged and why.
β‘ Get alerted when a new vulnerability hits software you actually run. β
NIST NVD plus GitHub Security Advisories, filtered by product, package, ecosystem and severity. β
Each CVE and GHSA is announced exactly once. No API key required.
π§½ Upload any dataset β scraped rows, a RAG corpus, an export β and get back exact AND near-duplicates removed, plus a per-field data quality report. β
MinHash + LSH banding finds near-duplicate text at scale without O(nΒ²) pairwise comparison.
β‘ Never lose a domain or serve an expired certificate again. β
Domain expiry via RDAP, live TLS certificate expiry and validity, nameserver and DNS record changes. β
Warns before expiry and alerts the moment records move. No API key needed.
β‘ Multi-stage email check: syntax, typo detection (gmial.com -> gmail.com), disposable/role flags, free-vs-corporate class, live MX/DNS lookups. β
Returns a 0-100 confidence score plus its signals β and admits mailbox existence can't be proven from a blocked-port-25 cloud host.
β‘ Find which messy records are the same real-world entity when there is no shared ID. β
Fuzzy name/company matching, blocking so 50k records don't need 1.25bn comparisons, probabilistic scoring, transitive clustering.
β‘ Scrape events from Eventbrite, Luma and Meetup with organiser, venue, dates and ticket pricing. β
Reads schema.org data straight from the page. β
Filter by keyword, city, date range, online-only or free-only.
β‘ ~$0.002/board. Know the day a company starts hiring β or quietly stops. β
Greenhouse, Lever, Ashby, Workable, SmartRecruiters, Recruitee. β
Reads the official public job-board APIs, so there is no anti-bot to fight and nothing to break.
β‘ Assign a company a NAICS and/or SIC industry code with confidence and evidence, no LLM. β
Walks an embedded sector-then-detail code tree, scores with TF-IDF + phrase hits, and uses negative keywords so "SaaS for dentists" lands in software, not dentistry.
πΈοΈ Crawl a site or corpus and get back a real graph: typed ENTITIES and typed RELATIONSHIPS, no LLM. β
JSON-LD first, then headings/tables/breadcrumbs/pricing tables. β
Cross-page entity resolution merges aliases into one node. β
Edges built from structure, every one with an evidenceUrl.
β‘ Turn any site into a RAG dataset in one run. β
Clean markdown (code blocks, tables, headings kept; nav and cookie banners stripped), split into semantic chunks on heading boundaries with token estimates, configurable overlap and a source URL on every chunk. β
Ready to embed, no post-processing.
β‘ Generate a spec-shaped llms.txt for any site in one run, and audit an existing one. β
Sitemap discovery, clean markdown extraction, optional llms-full.txt. β
Coverage %, missing pages, stale URLs and spec issues. Reads only the site itself β nothing to block it.
π·οΈ Match retailer listings to your brand catalogue and flag Minimum Advertised Price (MAP) violations, with enforcement-ready evidence. β
Brand/model/size/pack hard disqualifiers block wrong-SKU matches. β οΈ Low-confidence matches are reported unmatched, never accused.
β‘ ~$0.002/listing. Catch the day a listing changes: address, phone, website, name, category, hours or permanently-closed. β
Built for local SEO agencies and multi-location brands. β
Review-count churn ignored so alerts stay meaningful.
β‘ Profile any npm or PyPI package from the official registries. β
Downloads, versions, maintainers, licence, freshness, deprecation. β
Derived risk flags β DEPRECATED, UNMAINTAINED_2Y, SINGLE_MAINTAINER, NO_LICENSE β for supply-chain audits. β
Discover a whole space by search.
β‘ Turn any podcast RSS feed into structured episodes. β
Titles, show notes, audio file URLs, durations, seasons and episode numbers. β
Filter by keyword, date or minimum length. Also resolves YouTube video metadata.
β‘ ~$0.002/check. Track competitor prices across any shops and get alerted on drops. β
Price detected automatically from JSON-LD, microdata or the page itself. β
Percentage thresholds, target-price alerts, multi-currency, built-in price history.