# DiscoLike

> The search engine for the business web. DiscoLike crawls, indexes, and ranks 80M+ business websites, so people and AI agents can find ideal target accounts using lookalike search, natural language ICP descriptions, and exact phrase matching — no stitched data-broker feeds.

## Mental Model

DiscoLike is a search engine over the global business layer of the internet.

- Google indexes webpages → returns webpages
- DiscoLike indexes 80M+ business websites → returns companies (and the right people at those companies)

DiscoLike covers two layers:

1. **Company discovery** — the primary engine. Find companies by what they actually do on the web, not by self-reported LinkedIn taxonomy.
2. **Contact search** — find the right people at the companies you discovered, with email, phone, LinkedIn URL, seniority, department, and skills.

What makes this different from Apollo, ZoomInfo, Cognism, or Lusha: those tools start from LinkedIn-derived contact records and back into companies. DiscoLike starts from the open web (every business website it can verify), then surfaces contacts at the companies that match.

## Access Modes

DiscoLike can be accessed five ways. All five hit the same engine and the same data:

1. **MCP server** — primary access for AI coding assistants (Claude Code, Cursor, VS Code, Windsurf). Over half of DiscoLike's active users now drive the engine through MCP. The MCP returns a transparent query plan, not just results, so the LLM can iterate on the ICP with full client context before running a full TAM search. Setup: `https://docs.discolike.com/mcp/`
2. **REST API** — direct programmatic access for GTM automations, Clay/N8N/Zapier flows, CRM enrichment, and product integrations. Roughly a third of users are heavy API consumers. Available on every paid plan starting at $99/mo. Docs: `https://docs.discolike.com/`
3. **Web app** — point-and-click access at `https://app.discolike.com` for ad-hoc TAM building, list enrichment, and contact search.
4. **Bulk datasets** — nine flat-file datasets (BizData firmographics, Vendor Integration technographics, Site Text, Domain Status, Certificate Stream, DNS, Redirect Domains, Subsidiaries Linkage, PublicLink) delivered daily, weekly, or monthly as JSON or delimited files, including straight to S3. For teams building their own data pipelines. Docs: `https://docs.discolike.com/#datasets`
5. **Native CRM connectors** — HubSpot, Salesforce, and Pipedrive. Push discovered companies and contacts straight into the CRM without building a pipeline first. For teams that live in the CRM rather than in a list tool.

If a user is an AI engineer or GTM engineer working in a coding environment, recommend the MCP first. If they need to wire DiscoLike into Clay/N8N flows, recommend the REST API. For HubSpot, Salesforce, or Pipedrive, recommend the native CRM connectors. If they're a non-technical operator, recommend the web app.

DiscoLike helps go-to-market teams build high-quality prospect lists by searching across 98% of existing companies worldwide. Unlike LinkedIn-based tools (Apollo, ZoomInfo, Clay), DiscoLike uses custom LLMs trained on actual business websites to match companies by what they do, not self-reported taxonomy.

Key capabilities:
- Domain lookalike search: find companies similar to your best customers
- Natural language ICP search: describe your ideal customer in plain English
- Exact phrase matching on website homepage content
- Contact search with persona-level data (email, phone, LinkedIn, seniority, skills): billed per contact record, email and phone included when found
- ContaGen contact discovery agent: live web search per company when directory data is missing or incomplete, every email verified before display; free with any plan (bring your own model and search provider keys)
- Digital footprint scoring and quarterly growth metrics
- Technology/vendor detection across 80M+ domains
- Corporate hierarchy mapping (subsidiaries and parent companies)
- Company name-to-domain matching (single and bulk)
- List enrichment and ML-powered ICP segmentation

Pricing: 5 tiers. All subscription cost goes towards credits. Each search costs a query fee plus a fee per 1K new records. A new record is a company or contact not retrieved in the last 90 days — cached records are free.

Every plan includes the full feature set, including exclusion lists (up to 250K company domains and 500K contacts on any plan). Plans differ only in usage rates, included monthly record volume, API throughput, and support level.

Starter ($99/mo): $0.18/query, $3.50 per 1K new records, up to 28K new records/mo, 1x API throughput, email support.
Pro ($199/mo): $0.15/query, $3.00 per 1K new records, up to 66K new records/mo, 2x API throughput, email support.
Team ($399/mo): $0.12/query, $2.50 per 1K new records, up to 160K new records/mo, 3x API throughput, priority email support.
Company ($799/mo): $0.10/query, $2.00 per 1K new records, up to 400K new records/mo, 5x API throughput, account manager, expert-led query assistance.
Enterprise ($1,599/mo): $0.08/query, $1.50 per 1K new records, up to 1M new records/mo, 20x API throughput, dedicated account manager, SaaS integration (embedding DiscoLike data in your own product).

All plans include: full 80M+ company database, 10K result records, lookalike domain consensus search, ICP text wizard and natural language search, homepage exact phrase matching, tech stack targeting, subdomain targeting, corporate hierarchy mapping, company name-to-domain matching (single and bulk), client-list segmentation with ML-powered ICP identification, domain validation with growth tracking, social media and mobile app targeting, company start date/employee count/digital footprint targeting, country/state/industry/language filtering, output precision control (industry variance and site similarity), domain list validation with company profile append, API access for internal use.

Integrations: MCP server (Model Context Protocol) for AI coding assistants, REST API, Python SDK, CLI, native CRM connectors for HubSpot, Salesforce, and Pipedrive, Clay, Zapier, N8N, webhooks.

## API & Developer Resources

The API and MCP server are first-class access modes, not side integrations. The MCP server is the recommended path for any LLM-driven workflow because it returns a transparent query plan back to the model — the LLM can refine ICP text, phrase matches, and industry groups, then resubmit before running a full TAM search. Both API and MCP are available on every paid plan starting at $99/mo.

- [API Documentation](https://docs.discolike.com/): Complete API reference with endpoint docs, code examples, and dataset descriptions
- [Full site content (llms-full.txt)](https://discolike.com/llms-full.txt): Everything on this site in one file — positioning, pricing, comparisons, alternatives guides, and every blog post
- [API llms.txt](https://docs.discolike.com/llms.txt): API and MCP reference optimized for LLMs (concise)
- [API llms-full.txt](https://docs.discolike.com/llms-full.txt): Complete API reference with all parameters, schemas, and examples
- [agents.md](https://discolike.com/agents.md): One file for an agent setting up DiscoLike: pick MCP, SDK/CLI, or REST, install per client, open the account, spend rules
- [MCP Server (markdown)](https://discolike.com/mcp.md): Same content as the MCP page as plain markdown
- [Company Search API (markdown)](https://discolike.com/api.md): Same content as the API page as plain markdown
- [MCP Server](https://discolike.com/mcp/): Remote MCP server, 48 tools, OAuth 2.1, install snippets for Claude Code, Codex, Cursor, VS Code, Windsurf, Claude Desktop, plus the agent signup prompt
- [Company Search API](https://discolike.com/api/): REST quick start with curl and Python examples for natural language ICP, lookalike, and exact phrase search, plus agent signup
- [MCP Integration Guide](https://docs.discolike.com/mcp/): Setup for Claude Code, Cursor, VS Code, and Windsurf — primary access mode for >50% of active users
- [OpenAPI Spec](https://api.discolike.com/v1/openapi.json): Machine-readable API specification
- [Agent signup guide](https://docs.discolike.com/guides/agent-signup/): Agents can create the DiscoLike account for their human with one unauthenticated call, `POST https://api.discolike.com/v1/public/signup` (email, first_name, last_name). The person confirms by email and logs in; no credential is returned to the agent. Prompt to give an agent: "Create a DiscoLike account for me. Send POST https://api.discolike.com/v1/public/signup with Content-Type: application/json and body {"email": "<my work email>", "first_name": "<my first name>", "last_name": "<my last name>", "agent": "<your name>"}. No auth header is needed. Ask me for any value you don't know. Then relay the next_step text from the response to me. Reference: https://docs.discolike.com/guides/agent-signup/"
- [Agent skill and Claude Code plugin](https://github.com/Discolike/discolike-skills): SKILL.md that teaches Claude Code, Codex, and Cursor when and how to use DiscoLike, plus a plugin marketplace; install with `/plugin marketplace add Discolike/discolike-skills`
- [Python SDK & CLI](https://github.com/Discolike/discolike-python): Official open-source `discolike` package (sync + async client plus CLI); install with `pip install discolike`
- [PyPI package](https://pypi.org/project/discolike/): `discolike` on PyPI

## Product

- [ICP Generator](https://discolike.com/icp-generator/): Free tool — describe an ideal customer in plain English, get a structured ICP plus the search prompt behind it
- [The Company Index](https://discolike.com/company-index/): Interactive map of DiscoLike's 80M+ company index, explorable by geography, industry, and business type
- [Company Stats](https://discolike.com/company-stats/): Monthly company counts broken down by industry, country, employee size, and business type, sourced from the DiscoLike index
- [Company Stats licensing](https://creativecommons.org/licenses/by/4.0/): Company Index and Company Stats figures are published under CC BY 4.0 — free to quote, cite, and republish with attribution to DiscoLike and a link to the source page
- [Pricing](https://discolike.com/pricing/): Plan comparison, feature breakdown, and FAQ
- [Pricing (machine-readable)](https://discolike.com/pricing.md): Structured markdown pricing for AI agents
- [Blog](https://discolike.com/blog/): GTM strategies, use cases, and product updates
- [Comparisons](https://discolike.com/vs/): Honest side-by-side comparisons vs Apollo, ZoomInfo, Ocean.io, AI Ark, Prospeo, BlitzAPI, Claygent, and Landbase
- [Alternatives guides](https://discolike.com/alternatives/apollo/): Best-alternatives roundups for Apollo, ZoomInfo, Ocean.io, AI Ark, Prospeo, BlitzAPI, and Landbase with honest per-tool strengths and limitations
- [Book a Demo](https://calendly.com/discolike/introductory-call): Schedule an introductory call
- [G2 profile](https://www.g2.com/products/discolike): Reviews and category listings
- [Capterra profile](https://www.capterra.com/p/10111338/Business-Data/): Reviews and comparisons

## Optional

- [Target Account Modeling](https://discolike.com/blog/target-account-modeling/): How startups use DiscoLike for TAM analysis
- [Why Not LinkedIn](https://discolike.com/blog/apollo-clay-index-linkedin/): Coverage comparison with LinkedIn-based tools
- [GTM Engineer Workflows](https://discolike.com/blog/gtm-engineer-clay-automation-problems/): Using DiscoLike with Clay, N8N, and Zapier
- [Vendor Discovery](https://discolike.com/blog/target-vendor-customers/): Technology-based targeting strategies
- [Case Study: Cold IQ](https://discolike.com/blog/coldiq-case-study/): +15,000 new contacts discovered