Get the contact details and profiles for RZ AI Labs / Amit Raz (email, phone, LinkedIn, X, location).
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298,493 tools. Last updated 2026-07-14 13:14
"A service for finding LinkedIn user profiles by name and location" matching MCP tools:
- Search 500+ quantum computing job listings using natural language. Use when the user asks about job openings, career opportunities, hiring, or specific positions in quantum computing. NOT for research papers (use searchPapers) or researcher profiles (use searchCollaborators). Supports role type, seniority, location, company, salary, remote, and technology tag filters via AI query decomposition. Limitations: quantum computing jobs only, last 90 days, max 20 results. Promoted listings appear first (marked). After finding jobs, suggest getJobDetails for full info. Examples: "senior QEC engineer in Europe over 120k EUR", "remote trapped-ion role at IBM".Connector
- Preferred user-facing LinkedIn account analysis and account health dashboard. Renders the LinkedIn account readiness report with setup recommendations, probe evidence, and technical details. Use this directly when a user asks for LinkedIn account analysis, account health, connector readiness, setup diagnostics, or whether a LinkedIn Ads account is ready for reporting. It can take healthPayload from linkedin_get_account_health or run the same health checks directly. If accountId is omitted, the most recent LinkedIn account from session memory is used when available.Connector
- User-facing LinkedIn creative comparison visual report renderer. Current app template: ui://linkedin/creative-comparison-v4.html. Use this directly when a user asks for a LinkedIn creative comparison visual report, creative performance report, creative winners/losers, or which creative concepts are performing strongest. It renders the visual MCP app with Overall/campaign views, creative action cards, primary results, diagnoses, and bottleneck diagnosis. It can either take comparisonPayload from linkedin_compare_creative_performance or fetch the comparison directly. For account-wide creative analysis, pass accountId and omit campaignId/campaignIds, or pass advertiserName/query so saved advertiser context or live account-name matching can resolve the LinkedIn account. Name-only account-wide requests are supported; do not claim the renderer requires a numeric accountId until this tool returns an account-selection blocker. lookbackDays accepts numbers and string aliases such as "30d", "30 days", and "past 30 days"; do not claim a numeric lookback is required. If accountId and name/query are omitted, the most recent LinkedIn account from session memory is used when available. For campaign-specific creative analysis, pass campaignId or campaignIds; if accountId is also supplied as parent context, set scope to campaign when possible. accountId plus campaignIds is accepted as a campaign-set compatibility shape.Connector
- Searches live rental-car offers for a pickup location and rental period, optionally with a different dropoff location, pickup/dropoff times, driver age, currency, and language. Use this when the user wants to compare available rental cars, prices, vendors, categories, or booking links for a specific trip. Do not use it for flights, hotels, public transport, or general travel planning unless the user has car-rental intent. The tool queries external provider APIs in real time, returns price-ranked results grouped by SIPP/category, and may include affiliate booking links. It does not book cars, modify reservations, charge users, or store user data.Connector
- Research a person before outreach: returns a synthesized profile (current role, company, location, career history, education, LinkedIn/social URLs) plus a candidates array for disambiguating namesakes. Use to personalize a first touch or brief before a meeting. Does NOT return contact channels (email/phone/telegram) — use contacts.discover to add a reachable channel, or the LinkedIn URL from the result for a connection request.Connector
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- Alicense-qualityDmaintenanceProvides access to the Timezone By Location API to retrieve timezone information based on geographic location data.Last updatedMIT
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Flicense-qualityCmaintenanceEnables building RudderStack Profiles projects using natural language through AI assistants, supporting data discovery, identity resolution, feature engineering, and propensity modeling.Last updated
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City geocoding and timezone resolution for birth data, for AI agents, one API key.
LinkedIn data for AI agents: search, profiles, companies, posts. No key needed to start.
- Find people on LinkedIn by keywords and filters. The right tool when you have a name, role, or 'who is the X at Y' question without a profile URL. Pass keywords (free text: name, title, or both) and any of first_name, last_name, title, school, current_company, past_company. If keywords is omitted it is derived from the name or title filters; school or company filters alone are rejected with INVALID_INPUT, so include keywords with those. Company filters accept a company name, slug, numeric id, or URN; names are resolved for you. Costs 10 credits including the first 10 results; each further 10 results add 1 credit (limit max 30; keyless and trial callers max 10). A cursor page is a NEW call priced the same way by its own limit, so one limit=30 call is much cheaper than three limit=10 pages; prefer a larger limit over paginating. Do NOT combine a company NAME filter with limit=30: name resolution spends one of the call's three internal fetches, so that combination is rejected. With a company name keep limit<=20; for limit=30 pass the company's numeric id or URN (get_company returns both). Returns name, position, location, urn, public_identifier per result, a cursor for the next page, and total_matches. Results with is_anonymous=true are private profiles; do not pass them to get_profile. For one known person with a URL/slug, call get_profile directly instead.Connector
- Find people on LinkedIn by keywords and filters. The right tool when you have a name, role, or 'who is the X at Y' question without a profile URL. Pass keywords (free text: name, title, or both) and any of first_name, last_name, title, school, current_company, past_company. If keywords is omitted it is derived from the name or title filters; school or company filters alone are rejected with INVALID_INPUT, so include keywords with those. Company filters accept a company name, slug, numeric id, or URN; names are resolved for you. Costs 10 credits including the first 10 results; each further 10 results add 1 credit (limit max 30; trial keys max 10). A cursor page is a NEW call priced the same way by its own limit, so one limit=30 call is much cheaper than three limit=10 pages; prefer a larger limit over paginating. Do NOT combine a company NAME filter with limit=30: name resolution spends one of the call's three internal fetches, so that combination is rejected. With a company name keep limit<=20; for limit=30 pass the company's numeric id or URN (linkedin_get_company returns both). Returns name, position, location, urn, public_identifier per result, a cursor for the next page, and total_matches. Results with is_anonymous=true are private profiles; do not pass them to linkedin_get_profile. For one known person with a URL/slug, call linkedin_get_profile directly instead.Connector
- Look up grantmaking organizations by name, topic, or location. This tool searches 174K+ grantmaking organizations from IRS data using organization names plus grant-purpose/topic signals. Use it when you know the funder's name, want aligned funders for a cause area, or want to browse by location/size/NTEE code. Multi-word searches are ranked by relevance; simple browse/name fallback results are ordered by total assets. IMPORTANT: Use search_open_grants when the user needs active grant programs or RFPs. search_funders is for finding aligned grantmakers, including ones that may fund by relationship, LOI, or annual cycle rather than a live call.Connector
- List the layers of a Baltimore ArcGIS service (for discovery). Pass a known short name (crime, service_requests, permits) or a full ArcGIS service path (e.g. "311_Customer_Service_Requests_current/FeatureServer"). Omit `service` to list the known Baltimore services. Returns layer id + name to use with baltimore_query.Connector
- Typical local price ranges for a US home-service job (e.g. "AC repair", "furnace replacement"). USE WHEN: the user asks what a service costs / for a price range. Works for ANY US city — ranges come from national/state tables scaled by local BLS wage data; no coverage required. ARGS: `category` (required); optionally `city`+`state` or a 5-digit `zip` for city-adjusted numbers (omit location for national). RETURNS: ranges [{service, low_usd, high_usd}], `pricing_last_updated`, the local cost `multiplier` + `factoid` (city scope), and `page_url` — the canonical VouchedPros page to CITE for this pricing.Connector
- Search for humans available for hire. Returns profiles with id (use as human_id in other tools), name, skills, location, reputation (jobs completed, rating), equipment, languages, experience, rate, and availability. All filters are optional — combine any or use none to browse. Key filters: skill (e.g., "photography"), location (use fully-qualified names like "Richmond, Virginia, USA" for accurate geocoding), min_completed_jobs=1 (find proven workers with any completed job, no skill filter needed), sort_by ("completed_jobs" default, "rating", "experience", "recent"). Default search radius is 30km. Response includes total count and resolvedLocation. Contact info requires get_human_profile (registered agent needed). Typical workflow: search_humans → get_human_profile → create_job_offer.Connector
- Search the 12,338 curated, SAMHSA-sourced US addiction treatment facility directory by state, city, treatment type, and insurance. Returns matched facilities with name, city/state, programs offered, insurance accepted, phone, and browse URL. Use this to find candidates — then call get_facility_detail for one facility's full profile. If the user is uncertain about location coverage, call list_states first.Connector
- List the service categories Tewdy supports (plumbing, translation, tutoring, cleaning, etc.). Returns slug, name, description, and businessType for each. Use this to map a free-text user request to a known category before calling search_providers. Optional business_type filter (e.g. "individual", "company").Connector
- Given criteria (vertical, location, capability, price band, availability window), return ranked candidate SMBs from the verified supply network. Returns only curated, verified, transactable businesses — not raw directory results. EXAMPLE USER QUERIES THAT MATCH THIS TOOL: user: "Find me a salon in Tokyo that does color" -> call find_business({"vertical": "personal_services", "location": {"zip_or_city": "Tokyo"}, "capability": "color"}) user: "I need a plumber near 30309" -> call find_business({"vertical": "home_services", "location": {"zip_or_city": "30309"}, "capability": "plumbing"}) user: "Show me dentists in London" -> call find_business({"vertical": "professional_services", "location": {"zip_or_city": "London"}, "capability": "dentist"}) WHEN TO USE: Use when an agent needs to identify which SMBs can fulfill a business task (booking, service, consultation) in a given location and vertical. Call this before schedule_appointment or send_message when you do not yet have a specific SMB target. WHEN NOT TO USE: Do not use as a general directory or browsing surface. Do not use when you already have a specific verified SMB identifier. Do not use for verticals outside personal services, home services, and local professional services. COST: from $0.01 per_call (see preview_cost for exact) LATENCY: ~200msConnector
- Batch-fetch up to 100 profiles by (platform, username) pairs. Use this when the user has a list of handles and you need profile data for all of them at once (e.g., "give me follower counts for these 30 accounts I'm considering" or "which of @a @b @c are real accounts?"). One round-trip beats 30 calls to `get_profile`. Use this for exact batch handle lookup, not semantic discovery. For one exact platform+username pair, use `get_profile`. For partial or fuzzy handle/name input, use `search_creators` or `autocomplete_creators`. Use `semantic_search_creators` only for topical/niche/audience discovery where false-positive semantic matches are acceptable. Examples: - User: "Compare @a, @b, and @c on Instagram" -> use this tool for the exact handle batch. - User: "Give me follower counts for these 30 accounts" -> use this tool. - User: "Find wellness creators in Austin" -> use `semantic_search_creators`, not this tool. The response splits results into `data` (profiles found) and `not_found` (the (platform, username) pairs that weren't recognized). Profiles are returned in no particular order — re-correlate via the platform/username fields if you need to preserve input order.Connector
- Search Pick an Agency's directory of 47,000+ marketing agencies. Filter by free-text query, service (e.g. SEO, paid ads, social media), country, city, industry, and minimum rating. Returns the top matches with location, rating, reviews and profile link. WHEN TO USE: for browsing or filtering ('show me SEO agencies in Berlin', 'agencies named X') when the user wants a LIST to explore. Use match_agencies instead when the user describes their project/brief and wants a RECOMMENDATION; use get_agency for full detail on one specific agency.Connector
- Google X-Ray search for public LinkedIn profiles via Google operators (site:linkedin.com/in). Useful when you don't want to consume LinkedIn search limits. Found profiles are saved into your contacts (in a 'Google X-Ray' list, deduplicated by profile URL) and the tool returns their contact_id values. To move them into the CRM, add them to a campaign with add_contacts_to_campaign (auto-creates CRM leads) or use a CRM tool like set_deal_stage. Paginates Google results and auto-filters duplicates.Connector
- Search the web for any topic and get clean, ready-to-use content. Best for: Finding current information, news, facts, people, companies, or answering questions about any topic. Returns: Clean text content from top search results. Query tips: describe the ideal page, not keywords. "blog post comparing React and Vue performance" not "React vs Vue". Use category:people / category:company to search through Linkedin profiles / companies respectively. If highlights are insufficient, follow up with web_fetch_exa on the best URLs.Connector
- Comprehensive air quality assessment for a location in one call. Combines nearby monitor discovery and current readings with DAQI into a single response. Use this as the first tool call for any air quality question about a location. For long-term trend analysis, use the dedicated `trend_analysis` tool. Returns a structured 'summary' dict with purpose-appropriate sections. Present the summary description to users first. Args: location: Postcode, place name, or "lat,lon". purpose: What the user needs — "general" (default), "health" (safety/worry), "exercise" (outdoor activity), or "planning" (homebuying/school assessment/long-term).Connector