Mamba Labs

Resolves a company domain, or a batch list of domains in one run, to LinkedIn company URLs, one row per domain, via pattern matching and web search. Every row carries resolution_method, confidence and a slug_mismatch flag, so a weak match is visible rather than silent. Flat, Clay-ready, MCP-ready.

Domain to structured company firmographics: employee band, industry, HQ, founded year, revenue estimate, logo, and description from schema.org JSON-LD and meta tags. Flat JSON, Clay ready, with source provenance.

Resolves a company name to its primary domain and LinkedIn URL, one company or a batch of names and domains with one row per entry. Any mix of name, domain, or LinkedIn URL in; one canonical identity out with 0-100 confidence scores, conflict detection, and a match method. Flat, Clay-ready.

Find people at any company by seniority and department. Four-layer cascade: website, SERP, and database enrichment with company-match scoring. Two-provider email waterfall (Icypeas, Prospeo) plus catch-all verification (Reoon, BounceBan). No direct LinkedIn scraping.

Scans Google News and PR wires for funding rounds, exec moves, product launches, and acquisitions at any company. Returns deduplicated, dated events in flat Clay-ready JSON for RevOps and outbound.

Resolves a company domain to its LinkedIn company page and returns the exact follower count plus industry, company size band, headquarters and founded year from the public page. Flat, Clay ready, one row per company.

Detects which GTM tools a company uses on their website. Returns CRM, sequencer, and marketing automation flags as a flat Clay-ready row. Covers HubSpot, Salesforce, Marketo, Apollo, Outreach, and more. No JSON parsing required. MCP-ready for Claude Desktop, Cursor, and AI agent workflows.

Resolves a company domain to its official LinkedIn, X, Instagram, Facebook, and YouTube URLs, plus follower counts where publicly accessible. Flat Clay-ready output with discovery method, per-platform status, and confidence scoring.

Turn a domain or a hiring keyword into enriched company records and verified contacts. Resolves the real employer behind a job posting, scores ICP fit, and returns one flat Clay-ready row per entity with per-field provenance. Bring your own vendor keys.

Company domain in, the executives and staff published on that company's own team, leadership or about page out. Returns names, titles, and page URL, with the pages actually reached so you can tell a real absence from an unreadable site. No LinkedIn scraping.

Audit a domain's email deliverability: SPF, DKIM, DMARC and policy, MX and mail provider, catch-all and blacklist checks, domain age, and a 0 to 100 health score. Flat JSON, Clay ready.

Keyword-driven job posting monitor that finds companies hiring for any role across job boards. Returns flat, Clay-ready, firmographic-enriched rows with company LinkedIn URL per posting.

Returns a research grade popularity RANK for any company domain from the public Tranco list, with a 40 day trend and an honest band. Ranks are not visit counts and this actor never invents one. Optional Cloudflare Radar and Chrome UX Report with your own keys. One flat row per company.

Combines GTM hiring signals and tech stack detection into one flat Clay-ready row with composite score, recommended action, and plain-English summary. Runs two sub-actors in a single call. Built for Clay enrichment and outbound qualification. MCP-ready for Claude Desktop and AI agents.

Company domain in, the registered legal entity out: legal name, company number, jurisdiction, status, LEI and VAT number. Only returns a match when the legal names are identical after normalization, so an unresolved domain comes back null instead of a confidently wrong company number.

Detect companies actively hiring GTM teams. Scrapes Greenhouse, Lever, and Ashby for Sales, RevOps, and Growth roles. Flat JSON with role counts and velocity signals. Built for Clay enrichment columns. MCP-ready for Claude Desktop, Cursor, and AI agents.

Market in, companies out. Give it job role keywords and a location and it returns companies currently hiring for that, built from a live index of public Greenhouse and Ashby job boards. Second mode finds US public companies whose SEC filings mention your phrase. No paid data source.

Finds creators by keyword and niche across TikTok, Instagram, YouTube, Pinterest, Twitch, Threads, and podcasts. Follower band filter keeps unknown counts and skips podcasts. One flat row per creator with handle, profile URL, and follower count. Contributes to a shared creator pool, on by default.

Runs discovery, profile read, and link-in-bio check in one run, from keywords or a handle list. One flat row per creator per platform, linked by a creator ID, with contact, newsletter status, what they sell, and manager. Contributes to a shared creator and agency pool, on by default.

Reads public creator profiles from handles or URLs. One flat row per profile: followers, posts, bio, bio link, email, engagement, verified. A podcast Apple refuses 5 times is labeled source_blocked. max_residential_reads caps the Instagram charge. Contributes to a shared creator pool, on by default.

Multi-category job board scanner. Pick GTM, Engineering, Finance, Ops, Executive, or custom keywords across Greenhouse, Lever, and Ashby. Returns one flat Clay-ready row per domain with matched role counts and category breakdowns. MCP-ready for Claude Desktop, Cursor, and AI agents.

Follows a creator's link-in-bio page and website. One flat row with links, newsletter status, what they sell, manager contact, evidence URLs, and segment_tier. A file over max_download_mb (25 by default) is skipped as file_too_large. Contributes to a shared creator and agency pool, on by default.

Finds a company contact page from its domain and returns role email addresses, a main phone number and a postal address in one flat row. Role addresses only, never a named individual. Clay ready, one row per company.

Can an AI agent read this site. Checks llms.txt, robots AI crawler rules and the Content Signal policy, structured data, render mode, and machine readable endpoints like sitemap, OpenAPI and well known files. Every field is a fact read off a fetch, never a model opinion.