# Mijhar Web Mijhar is a Saudi company discovery and market research product. The public web package explains the search, company list, market, research, pricing, help, and policy surfaces. ## Primary Machine-Readable Resources - Full web context: https://mjhr.ai/llms-full.txt - Well-known LLM context: https://mjhr.ai/.well-known/llms.txt - Root markdown summary: https://mjhr.ai/README.md - Sitemap: https://mjhr.ai/sitemap.xml - Page sitemap: https://mjhr.ai/pages/sitemap.xml - API service origin: https://mjhr.ai ## Public Pages - [Mjhr Search](https://mjhr.ai/) Build a reviewable company list in Mjhr from prompts, sectors, cities, categories, and public company signals. Markdown: https://mjhr.ai/README.md - [Companies | Mjhr](https://mjhr.ai/companies) Build reviewable company lists in Mjhr with category, location, public contact, freshness and confidence context attached. Markdown: https://mjhr.ai/companies/README.md - [Markets | Mjhr](https://mjhr.ai/markets) Use Mjhr market views to see where companies cluster, what categories shape the field and which records need review. Markdown: https://mjhr.ai/markets/README.md - [Research | Mjhr](https://mjhr.ai/research) Use Mjhr to keep the original question, filters, selected companies and evidence context behind saved company research. Markdown: https://mjhr.ai/research/README.md - [Pricing | Mjhr](https://mjhr.ai/pricing) Choose a Mjhr plan using the actual company allowance, per-search cap, participant limits and monthly or yearly pricing. Markdown: https://mjhr.ai/pricing/README.md - [Help | Mjhr](https://mjhr.ai/help) Find Mjhr help for company search, saved results, folders, workspace setup, billing, public API usage and agent integration. Markdown: https://mjhr.ai/help/README.md - [Policy | Mjhr](https://mjhr.ai/policy) Read Mjhr policy context for privacy, terms, data handling and responsible company research workflows. Markdown: https://mjhr.ai/policy/README.md - [Privacy | Mjhr Policy](https://mjhr.ai/policy/privacy) Understand Mjhr privacy context for account, workspace, search, and support data in company research workflows. Markdown: https://mjhr.ai/policy/privacy/README.md - [Terms | Mjhr Policy](https://mjhr.ai/policy/terms) Review Mjhr terms context for workspace access, plan limits, and responsible product use. Markdown: https://mjhr.ai/policy/terms/README.md - [Data Handling | Mjhr Policy](https://mjhr.ai/policy/data-handling) Understand how Mjhr data handling context applies to saved searches, company records, prompts, and workspace settings. Markdown: https://mjhr.ai/policy/data-handling/README.md - [Acceptable Use | Mjhr Policy](https://mjhr.ai/policy/acceptable-use) Read acceptable-use context for lawful, respectful, and reviewable company research in Mjhr. Markdown: https://mjhr.ai/policy/acceptable-use/README.md ## Excluded Public-Web Routes - `/requests` and `/s/{searchId}` are noindex workflow surfaces and are intentionally excluded from public sitemaps and LLM corpora. - Authenticated dashboard and operations packages publish disallowing robots policies instead of public LLM corpora. ## Public Web Page Markdown Corpus # Mjhr Search Build a reviewable company list in Mjhr from prompts, sectors, cities, categories, and public company signals. Canonical URL: https://mjhr.ai/ Machine-readable page: https://mjhr.ai/README.md Full web context: https://mjhr.ai/llms-full.txt Audience: Users, growth teams, research teams, procurement teams, and agents helping them create a company search. Section: Public Kind: Search ## What this page is for The root page is the anonymous public search surface for Mjhr. It lets a visitor describe companies to inspect, choose category and location filters, and submit a trial company search. Agents should treat this as the starting point for public product discovery, not as an authenticated workspace or API endpoint. ### Related public routes - [Companies](https://mjhr.ai/companies) Explains how Mjhr company records, evidence, and list review work. - [Help](https://mjhr.ai/help) Points users and agents toward task-focused help content. --- # Companies | Mjhr Build reviewable company lists in Mjhr with category, location, public contact, freshness and confidence context attached. Canonical URL: https://mjhr.ai/companies Machine-readable page: https://mjhr.ai/companies/README.md Full web context: https://mjhr.ai/llms-full.txt Audience: Researchers and operators evaluating whether Mjhr company lists fit their workflow. Section: Public Kind: Companies ## Company list context The companies page describes how Mjhr turns a search prompt and filters into a reviewable list of company records. Useful context includes category, location, public contact signals, confidence, freshness, and review state before a team exports or acts on the list. ### Related public routes - [Markets](https://mjhr.ai/markets) Market-level view of company distribution and category shape. - [Research](https://mjhr.ai/research) Saved research and reuse context for company lists. --- # Markets | Mjhr Use Mjhr market views to see where companies cluster, what categories shape the field and which records need review. Canonical URL: https://mjhr.ai/markets Machine-readable page: https://mjhr.ai/markets/README.md Full web context: https://mjhr.ai/llms-full.txt Audience: Market researchers and teams comparing city, sector, and category coverage. Section: Public Kind: Markets ## Market discovery context The markets page explains how Mjhr helps users inspect company density, clusters, category mix, and regional gaps before reviewing individual company records. Agents can cite this page when a user asks how Mjhr supports market mapping or sector discovery. ### Related public routes - [Companies](https://mjhr.ai/companies) Company record and list review context. - [Search](https://mjhr.ai/) Start a public company search from a market question. --- # Research | Mjhr Use Mjhr to keep the original question, filters, selected companies and evidence context behind saved company research. Canonical URL: https://mjhr.ai/research Machine-readable page: https://mjhr.ai/research/README.md Full web context: https://mjhr.ai/llms-full.txt Audience: Teams that need durable company research history and selected evidence. Section: Public Kind: Research ## Research workflow context The research page describes how Mjhr keeps a search question, filters, selected companies, and supporting evidence together so a team can revisit the work later. Agents should use this page for saved-search, evidence, and reuse explanations rather than API implementation details. ### Related public routes - [Help](https://mjhr.ai/help) Task guides for saved searches, folders, and result review. - [Pricing](https://mjhr.ai/pricing) Plan limits and usage context. --- # Pricing | Mjhr Choose a Mjhr plan using the actual company allowance, per-search cap, participant limits and monthly or yearly pricing. Canonical URL: https://mjhr.ai/pricing Machine-readable page: https://mjhr.ai/pricing/README.md Full web context: https://mjhr.ai/llms-full.txt Audience: Workspace owners and buyers comparing Mjhr plans and limits. Section: Public Kind: Pricing ## Plan context The pricing page summarizes public workspace plans, company allowances, per-search result caps, participant limits, and billing cadence. Agents should avoid inventing prices and should read the live page when an exact plan amount or allowance matters. ### Related public routes - [Help](https://mjhr.ai/help) Billing and workspace setup help. - [Policy](https://mjhr.ai/policy) Policy context that frames workspace use. --- # Help | Mjhr Find Mjhr help for company search, saved results, folders, workspace setup, billing, public API usage and agent integration. Canonical URL: https://mjhr.ai/help Machine-readable page: https://mjhr.ai/help/README.md Full web context: https://mjhr.ai/llms-full.txt Audience: Users, developers, and agents looking for task-oriented product help. Section: Public Kind: Help ## Help routing context The web help page is a public entry point that routes users to task-specific help for searching companies, saved results, folders, workspace setup, billing, API usage, and agent integration. The dedicated help package also exposes its own llms.txt, full context, OpenAPI, MCP, and per-article markdown routes. ### Related public routes - [Web LLM context](https://mjhr.ai/llms.txt) Concise public web context for agents. - [Full web LLM context](https://mjhr.ai/llms-full.txt) Complete public web context and markdown corpus. --- # Policy | Mjhr Read Mjhr policy context for privacy, terms, data handling and responsible company research workflows. Canonical URL: https://mjhr.ai/policy Machine-readable page: https://mjhr.ai/policy/README.md Full web context: https://mjhr.ai/llms-full.txt Audience: Users and agents checking the policy frame before company research work moves forward. Section: Public Kind: Policy ## Policy center context The policy center groups privacy, terms, data handling, and acceptable-use context for company research workflows. Agents should use this page as the root policy index and then read the specific nested policy page when a user asks about privacy, terms, data handling, or acceptable use. ### Related public routes - [Privacy](https://mjhr.ai/policy/privacy) How account, workspace, search, and support context should be handled. - [Terms](https://mjhr.ai/policy/terms) Product rules for workspace access, plan limits, and responsible use. - [Data handling](https://mjhr.ai/policy/data-handling) Saved searches, company records, prompts, and workspace settings. - [Acceptable use](https://mjhr.ai/policy/acceptable-use) Boundaries for lawful, respectful, and reviewable company research. --- # Privacy | Mjhr Policy Understand Mjhr privacy context for account, workspace, search, and support data in company research workflows. Canonical URL: https://mjhr.ai/policy/privacy Machine-readable page: https://mjhr.ai/policy/privacy/README.md Full web context: https://mjhr.ai/llms-full.txt Audience: Users and agents checking privacy expectations for Mjhr workflows. Section: Public Kind: Policy ## Privacy context The privacy policy route explains how account, workspace, search, and support context should be handled around Mjhr company research. Agents should avoid treating saved search context as permission to expose secrets, private workspace data, or unsupported personal data. ### Related public routes - [Policy center](https://mjhr.ai/policy) Root policy index. --- # Terms | Mjhr Policy Review Mjhr terms context for workspace access, plan limits, and responsible product use. Canonical URL: https://mjhr.ai/policy/terms Machine-readable page: https://mjhr.ai/policy/terms/README.md Full web context: https://mjhr.ai/llms-full.txt Audience: Workspace users, owners, and agents checking use boundaries. Section: Public Kind: Policy ## Terms context The terms route frames workspace access, plan limits, and responsible use of Mjhr. Agents should route legal or billing-specific uncertainty to the live policy and help surfaces instead of inventing commitments. ### Related public routes - [Pricing](https://mjhr.ai/pricing) Plan and limit context. --- # Data Handling | Mjhr Policy Understand how Mjhr data handling context applies to saved searches, company records, prompts, and workspace settings. Canonical URL: https://mjhr.ai/policy/data-handling Machine-readable page: https://mjhr.ai/policy/data-handling/README.md Full web context: https://mjhr.ai/llms-full.txt Audience: Users, admins, developers, and agents checking data handling expectations. Section: Public Kind: Policy ## Data handling context The data handling route explains how saved searches, company records, prompts, and workspace settings should remain traceable. Agents should keep the source of a company list visible and distinguish retrieved public company signals from user-provided workspace instructions. ### Related public routes - [Research](https://mjhr.ai/research) How research context is saved and reused. --- # Acceptable Use | Mjhr Policy Read acceptable-use context for lawful, respectful, and reviewable company research in Mjhr. Canonical URL: https://mjhr.ai/policy/acceptable-use Machine-readable page: https://mjhr.ai/policy/acceptable-use/README.md Full web context: https://mjhr.ai/llms-full.txt Audience: Users and agents checking responsible company research boundaries. Section: Public Kind: Policy ## Acceptable-use context The acceptable-use route describes boundaries that keep company research lawful, respectful, and reviewable. Agents should not help users bypass safeguards, scrape restricted sources, or turn unreviewed company records into automated outreach without human review. ### Related public routes - [Help](https://mjhr.ai/help) Workflow guidance before acting on policy-sensitive work. ---