Comparison
DiscoLike vs BlitzAPI
BlitzAPI sells flat-rate access to B2B data through APIs and SDKs, built for engineers. DiscoLike is a company discovery and prospecting platform with the same capabilities in a web app, API, and data MCP server. Different delivery, different math.
TL;DR
BlitzAPI's pitch is straightforward: flat monthly plans from $399 with no per-record credits, aimed at technical teams running high-volume enrichment who are tired of credit meters. Unlimited access is still subject to rate limits and a fair-use policy.
DiscoLike makes ICP and role fit the deliverable in its app and API. Describe the customer and the role; a model trained on validated GTM searches finds the companies and people, then verifies emails in the same workflow. You pay only for contacts with a validated email. Its directory of 87M+ business websites also supports territory, sub-industry, lookalike, and homepage phrase targeting. Operators use the web app; engineers use the REST API, SDK, CLI, or data MCP server, from $99/mo.
Also worth knowing: BlitzAPI's phone numbers are US-only, and its MCP server gives coding tools its API documentation, not its data. DiscoLike's MCP lets agents run live lookups against the directory itself.
DiscoLike indexes more than 87 million companies: 3x LinkedIn's company coverage, 2x Google Maps coverage, 98% of businesses with a website, at over 99% company-record accuracy.
At a Glance
DiscoLike and BlitzAPI, side by side
 | BlitzAPI | |
|---|---|---|
| Data | Company directory built from 87M+ business websites: 3x LinkedIn company coverage, 98% of businesses with a website | 1B+ records; source methodology not published on its homepage |
| Company discovery | Every matching company by radius, close to 300 SMB sub-industries, ICP sentence, lookalikes, and exact homepage phrase | Filter and keyword search through API endpoints |
| Product surface | Web app plus REST API, Python SDK, CLI, MCP, webhooks, Clay, Zapier, N8N, and optional HubSpot, Salesforce, and Pipedrive connectors | API-first, with Python and TypeScript SDKs |
| Prospecting workflow | ICP fit validation, DiscoGen research, contact search, email verification in real time with catch-all resolution | Enrichment endpoints; you build the workflow around them |
| Pricing | Pay as you go: $5/1,000 new records; subscriptions $99-$1,599/mo, with a charge per new record only and a free cache (24 hours on Pay as you go or 30 days on subscriptions) | Core $399/mo, Plus $499/mo, Full $599/mo; 15M results/month fair use under its launch offer |
| Contact data | You pay only for validated contacts with an email, with email verification in real time and catch-all resolution included. Each validated contact costs 5 records at your plan rate, with a $10 per 1,000 floor, plus 1 record per company that delivers a validated contact when you search without your own company list. Validated and Validated (catch-all resolved) cost the same. Every delivery is billed, including repeats. | Verified work emails from the $499 Plus tier, US phone numbers on the $599 Full tier |
| For AI agents | Data MCP server: agents run live lookups against the directory | Documentation MCP: helps coding tools write code against the API, not query data at runtime |
BlitzAPI details reviewed October 8, 2026 from the public product and pricing pages linked below. Spotted something outdated? and we'll fix it.
What "unlimited" buys
Flat pricing with no credit meter answers a real frustration. BlitzAPI's tiers are Core at $399/mo, Plus at $499/mo with verified work emails, and Full at $599/mo with US phone numbers. Accounts opened under its launch offer, which ends October 13, 2026, run at 50 requests per second, ten times the standard rate, with a fair-use ceiling of 15 million results a month. Emails are checked against live mail servers and re-tested at least every 30 days. For a RevOps team hammering enrichment endpoints, that can work out cheaper than metered pricing.
Compare the companies and roles accepted from the same ICP brief before comparing access prices. DiscoLike selects for company and role fit, with 3x LinkedIn company coverage and 2x Google Maps coverage supporting discovery. For a regional manufacturing campaign, add radius and sub-industry targeting, then prioritize by size or customer similarity.
Unlimited queries against a partial map still return a partial map. Count the qualified companies first.
API-first vs. product-plus-API
BlitzAPI is built for engineers: you write calls with its SDKs or wire it through n8n, Make, or Clay. That's a deliberate choice, and if you have the engineering capacity it's not a defect.
In DiscoLike’s web app, anyone on the team can define a market, validate fit, research accounts, and receive relevant contacts with validated emails and catch-all resolution included. The REST API, Python SDK, CLI, and MCP server carry the same capabilities. When you compare costs, include the time to build and maintain the application around an API, not just the subscription.
Test it with a regional manufacturing niche
Pick a regional manufacturing niche you can check. Measure new qualified companies, researched accounts, contacts with verified emails, and operator hours to get there. In DiscoLike the whole run happens in one place; with an API you also count the build.
Email results deserve their own column. DiscoLike's verification includes catch-all resolution and delivers only validated contacts, and BlitzAPI returns Not Found when it cannot prove an address. Compare usable contacts, not filled fields.
The MCP distinction, precisely
Both companies use the words "MCP server," and they mean different things. BlitzAPI's MCP gives AI coding tools live access to its API documentation, so agents can generate correct integration code. Useful, but the agent still can't query B2B data as a tool at runtime.
DiscoLike's MCP server is a data MCP: agents connect and run live company and contact lookups against the directory of 87M+ business websites, natural language queries included, and retrieve matching companies from the current directory in batches of up to 10,000 records. Save results and exclude them in subsequent searches to build larger lists. The directory refreshes every 30 days, so repeat results can change. If you're building agents that need to find companies mid-task, that distinction is the whole game. See DiscoLike for agents.
One MCP writes code about the data. The other one looks it up.
Agent flows: from no account to first search
On DiscoLike the whole flow runs without a person opening a browser until payment. The agent posts the person's work email and name to POST /v1/public/signup, relays the next_step text, and the person confirms by email, keeps Pay as you go or subscribes, and authorizes the MCP client or issues a key. From there the agent authenticates with OAuth 2.1, so no secret sits in a config file, calls count before any large search so it knows the spend, and reads pricing.md, mcp.md, api.md, and llms.txt for the rules. The CLI emits JSON, the Python SDK validates parameters locally, and a published skill teaches Claude Code, Codex, and Cursor when to reach for all of it.
BlitzAPI's MCP server at docs.blitz-api.ai/mcp searches the Blitz API documentation. It does not return company or contact data, so an agent still has to generate REST calls, manage the API key itself, and interpret responses without a query plan. There is no documented agent signup and no free count call; the person creates the account and key in the web app.
BlitzAPI's MCP helps an agent read the manual. DiscoLike's MCP does the work, and the account can be opened by the agent too.
Fit
Which one is right for you?
Choose DiscoLike if
- You need to discover companies and people from an ICP and role brief, with territory and niche filters when relevant
- Non-technical teammates need to run prospecting too, not just call endpoints
- You want fit validation, research, contacts, and email verification without building the application
- You're building agents that query data at runtime over MCP
- You need contacts outside the US
Choose BlitzAPI if
- You run enrichment at volumes where a flat monthly price beats any per-record model
- Your team is technical and API-first delivery with SDKs is what you want
- You need high request throughput under a fair-use ceiling
- You want US direct and mobile numbers through an API
FAQ
Common questions
Isn't BlitzAPI's unlimited pricing better than DiscoLike's credits?
It depends on your volume and what you need returned. BlitzAPI is a flat $399-$599/mo with rate limits and a fair-use ceiling. DiscoLike offers Pay as you go at $5/1,000 new records and subscriptions from $99/mo with charges for new records only and a free record cache (24 hours on Pay as you go or 30 days on subscriptions). Model your monthly volume and compare cost per accepted account, including any application you would build around an API.
Both have MCP servers. What's the difference?
BlitzAPI's MCP serves its API documentation so coding tools can write integration code. DiscoLike's MCP is a data server: agents run live natural language, lookalike, territory, and contact lookups against the directory of 87M+ business websites at runtime.
Where does each dataset come from?
BlitzAPI describes a data infrastructure of 1B+ records without publishing its source methodology on its homepage. DiscoLike's company directory is built from 87M+ business websites, at over 99% company-record accuracy, with each company geolocated and classified by what its site says.
Does DiscoLike have an API like BlitzAPI?
Yes. REST API access is included on every plan, alongside the web app, Python SDK, CLI, MCP server, optional HubSpot, Salesforce, and Pipedrive connectors, Clay, Zapier, N8N, and webhook integrations. Embedding DiscoLike data in a customer-facing product requires the Enterprise plan.
Does BlitzAPI have an MCP server, and how does DiscoLike's compare?
Only for its documentation. BlitzAPI's MCP server at docs.blitz-api.ai/mcp exposes a search tool over the Blitz API docs, not the data itself, so an agent still has to write REST calls to get records. DiscoLike's MCP server returns the data directly: 46 tools for discovery, firmographics, technographics, contacts, enrichment, and CRM push, OAuth 2.1, on every plan from $99 per month.
Explore company discovery & prospecting or read the category buying guide.
Researching the wider market? Read best BlitzAPI alternatives.
More comparisons
Testimonials
Hear it from our users
Jeff Rolf von den Baumen
Co-Founder & CEO, PipeRich
"DiscoLike is the primary account discovery source behind our campaigns, for many of our clients. Overall, my favorite data source, and we love leveraging it on behalf of our clients."
Dan Rosenthal
Co-Founder, Workflows.io
"Discolike helped me map out 2M+ companies for over 15 different B2B companies, including a unicorn. I've used all the big prospecting databases, and I can confidently say Discolike is the best tool for building target account lists."
Alex Fine
Co-Founder, Understory
"We've gone from struggling to find alternative lists outside traditional databases to basically having an untapped source of highly relevant companies. The way that Discolike operates on the back-end has been night and day vs their competitors."
Jordan Crawford
Founder, Blueprint
"DiscoLike has unprecedented coverage of companies on the Internet. Their core technology has been instrumental in some of my sneakiest campaigns."
Felix Frank
Founder, StackOptimise
"DiscoLike's segmentation is a powerful tool. It splits the client list into clearly labeled groups we can easily work with, saving us hours on ideal company profile identification."
Panos Sisamos
Co-Founder, Relevance.
"DiscoLike is right next to Clay in my tech-stack. Took me a couple of hours to get the hang of it, but now I can't live without it. Our process at Relevance relies heavily on accurate TAM mapping, and no one does it better than DiscoLike"
Patrick William Joyce
CEO, Outboundless
"DiscoLike's GTM toolbox is awesome for our daily grind, matching account names to domains like a breeze, segmenting our client list into spot-on company profiles, and modeling target accounts for each one to keep our B2B pipeline humming!"
Raouf Lemouchi
Founder, SalesTech Scout
"DiscoLike has a strong lookalike domain search, their wizard makes it incredibly easy to find high-quality prospects that match our ideal customer profile. Being able to automatically segment my targets is a really good feature."
Alex Vacca
Co-Founder, Cold IQ
"DiscoLike has quickly become a must-have in our campaign workflow. It's incredibly good at uncovering look-alike prospects and companies"
Nick Abraham
Founder, Leadbird.io
"Discolike has streamlined our list building process by allowing our team to create larger more accurate lists in half the time compared to regular data tools"
See how many of your accounts actually fit
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