DiscoLike vs Landbase

Landbase publishes 24M+ company records, 300M+ contacts, and 1,500+ enrichment fields. Contacts come through a waterfall: its pricing page cites 20+ providers, "Powered by BetterContact". Paying only when a provider returns a verified hit is a fair model, and it is why Landbase can charge nothing for a miss. It also means the company universe is whatever those providers have profiled.

DiscoLike's index is the crawl itself. We fetch 80M+ business websites, validate each domain against its SSL certificate, read the text, and train custom LLMs on it. A company is in the index because its website exists, not because a provider has a record for it. That is the difference between 24M and 80M+, and it is where niche verticals and non-English companies come from.

When it matters: if your accounts are mid-market and enterprise companies with LinkedIn pages and clean job titles, both databases will have them. If your market is regional service businesses, specialist manufacturers, or anything outside the English-speaking web, the crawl is the reason to look at DiscoLike.

Landbase's homepage promise is "the world's GTM data inside Claude Code or Codex", delivered through the Landbase CLI. Install it, sign in once in the browser, and the agent runs natural language searches from the shell and gets JSON back. For a single person driving one agent on one machine, that is a perfectly good workflow.

DiscoLike's primary agent surface is a remote MCP server: 48 tools over streamable HTTP with OAuth 2.1, added to Claude Code, Claude Desktop, Codex, Cursor, VS Code, or Windsurf with one line. The same index is also a REST API with an OpenAPI description, a Python SDK, and a CLI with JSON output, and a published skill teaches the agent which to use when.

When it matters: MCP is the protocol every agent client already speaks, so there is nothing to install on the machine, the token lives with the client, and the tools show up with their own descriptions. An agent can also create the DiscoLike account with a single request, count results before it spends, and read the pricing and auth rules as plain markdown. If your team runs agents on shared infrastructure, in a hosted client, or on more than one machine, that is the difference you will feel. Landbase does not ship an MCP server or a public REST reference as of September 2026.

Landbase's Agentic Search takes a plain-English prompt, extracts industry, stage, size, stack, and hiring criteria, and matches them across its database. It is the same design as Apollo's AI assistant: the sentence becomes filters, and the filters run against a fixed schema. That works well when the trait you want is a field.

DiscoLike runs the prompt against website text and firmographic profiles from the full index. Describe the ICP, seed a lookalike with four or five customer domains, or require an exact phrase on the homepage, and combine all three in one query. A trait that only appears on a company's site, such as a certification, a process, or a product line, is searchable without anyone having tagged it first. Contact search then runs on the matches: ask for the VP Sales, a persona, a seniority band, or a department, and get verified email, phone, and LinkedIn per person, with ContaGen searching the open web when the directory has nobody.

Both tools have a per-account qualification step. Landbase's AI Qualification answers plain-English yes/no/unknown questions with cited evidence. DiscoLike's ICP fit validation and DiscoGen run your prompt per company with the full homepage text as context, on your own model key, orchestration free.

Landbase lists 1,500+ signal types: hiring, funding, tech changes, and so on. They come from the same place its contacts do, third-party feeds, so a signal is as fresh as the provider's last refresh and as accurate as the provider's matching. It is a catalog you filter, and a row in the catalog is what you pay for.

DiscoLike's DiscoGen is a research agent, not a catalog. Give it a prompt and a list of companies and it searches the open web for each one, right now, with the full homepage text and firmographics as context, and writes back a structured answer. "Posted an SDR role in the last 30 days", "raised since January", "launched a mobile app", "mentions a competitor by name": whatever the question, the answer is observed at run time, not looked up from someone else's snapshot. Vendor changes and quarterly growth come from our own crawl on top.

When it matters: a signal that decides an outreach sequence needs to be true today. A bought signal tells you what a provider saw at some point; a live check tells you what is on the company's site and in the news when you ask. DiscoGen runs on your own model and search keys at provider list price, and the orchestration is free on every plan.

Landbase's published pricing (landbase.com/pricing, September 2026) is credit-based and starts free: 1,000 credits, no card, no expiry. Company search and lookalike expansion cost nothing. You pay on delivery: one credit per verified email ($0.033 at the $499 tier, $0.025 at $4,999), ten per verified mobile, and nothing for a miss. Those prices cover data. The email infrastructure, LinkedIn automation, and dialer have no published price, and reviews from earlier in 2026 quoted around $3,000 per month for the platform.

DiscoLike is $99–$1,599/mo across five plans, self-serve, monthly or annual with 20% off. The whole subscription converts to credits, spent as a per-query fee ($0.08–$0.18) plus $1.50–$3.50 per 1,000 new company records. Records retrieved in the last 90 days are free again, the count endpoint is free, and exclusion lists up to 250K domains keep customers and pipeline out of every result on every plan. Contacts are billed per verified record with phone included when found. See pricing.

The plain comparison: Landbase is cheaper to start and cheaper per company list, because the company list is free. DiscoLike is priced on finding companies, because finding companies is the product.

If you want lists, contacts, sending infrastructure, LinkedIn steps, and a dialer in one account, Landbase has all of it and DiscoLike has none of the last three. The free tier is real, and a partner agency network can run the whole motion for you. Teams that mostly need to work a known account list and send from the same tool will find that a coherent package.

What transfers: any account list you built in Landbase exports as CSV. Load it into DiscoLike as a domain list to enrich, validate, and segment, or as an exclusion list so new searches only return net-new accounts. Your CRM stays where it is; DiscoLike pushes companies and contacts natively to HubSpot, Salesforce, and Pipedrive.

What does not transfer: sequences, sending domains, LinkedIn steps, and dialer sessions. DiscoLike does not replace those. The common setup is DiscoLike for discovery and validation, then your sequencer, Landbase's execution layer, or Clay for the steps that follow.

First week on DiscoLike: seed a lookalike search with your best five customers, count before you pull, validate ICP fit on the first 200, then scale. The free one-search demo on the website shows results on your own ICP before you pay.