SourceScrub Alternatives
SourceScrub is a sources-first deal-sourcing platform for private equity firms, investment banks, and corporate development teams — strongest at surfacing bootstrapped and founder-owned companies through curated conference lists, directories, and other source lists. Most people land on this page because of the consolidation: Datasite acquired both Grata and SourceScrub in 2025 and is integrating SourceScrub's data and capabilities into Grata, which puts contracts, workflows, and roadmaps in motion. Others hit the usual walls — sales-negotiated contract pricing with no self-serve entry point, per-plan gating on exports and API access, structured filters where they want natural-language discovery, or agent workflows that need open MCP access. This page compares the credible alternatives, honestly and with sources.
Every claim about another product links to its current public source. If a vendor changes pricing or access, their own page is the source of truth.
Quick comparison
| Product | Coverage | Query model | API access | MCP | Pricing model | Free tier |
|---|---|---|---|---|---|---|
| Canonical | Verified company graph built for long-tail company discovery | Natural language, interpreted into editable criteria; structured filters | Self-serve REST API and Python SDK | Yes — open, self-serve MCP server (OAuth) | Usage-based credits; self-serve plans | 250 free credits on signup Try now → |
| SourceScrub | Sources-first dataset: 17M companies connected to 290K curated sources | Filter-based discovery with scores, rules, and trend/signal data | API and Data Connect delivery, provisioned with a plan via sales | No official MCP server (sister product Grata ships one) | Named tiers (Essentials, Plus, Professional); request pricing via sales | No free tier; demo-led |
| Grata (Datasite) | Middle-market and founder-owned private companies (21M+) | Agentic AI search plus filters and similar-company search | Demo-led; no self-serve signup | Yes — official MCP server, customer-gated | Named tiers (Growth, Scale, Alpha), prices not published | No self-serve free tier |
| Tracxn | Global startup and private-company tracking (7.7M+ companies) | Structured filters over sector feeds, taxonomies, and market maps | APIs and data dumps sold as volume-based data packs | Yes — official MCP integration, requested in-platform (announced April 2026) | Free Lite tier plus sales-quoted Premium subscriptions | Free Lite plan — self-serve, usage-limited, no credit card |
| Harmonic | Startup-focused database (35M company records) | Filters and saved searches; Scout AI agent for natural language | Sales-led; console, API, and bulk data quoted via demo | Yes — official MCP server (Harmonic account; limited free daily requests) | Not published; contract via sales | No self-serve free tier |
| Crunchbase | Funding-data heritage, now positioned around predictive intelligence | Filters and saved searches; prediction models layered on top | Sales-gated — API packages purchased through the sales team | Yes — official MCP Server for Finance, provisioned for customers | Customized pricing by use case, volume, and data licensed | No free API tier |
Vendor claims link to their public sources; their current pages take precedence.
Canonical
Purpose-built company search: describe the companies you want in plain English, see exactly how the query was interpreted as structured criteria — and adjust it — before running, then get a verified shortlist with per-criterion match status and source-backed evidence. Access is self-serve across the app, REST API, Python SDK, and an open MCP server, so the same search works for an analyst and for an agent.
Limitations: Not a deal-execution platform: no curated conference and trade-show source lists, no CRM-native pipeline workflow, and no buyer-list management the way SourceScrub packages them. Canonical optimizes for finding the right companies — especially the long tail — not for running a sourcing workflow end to end.
Best for: Investors sourcing against a thesis, analysts building market maps, business development and recruiting teams building targeted lists, and AI agents that need company search over MCP or API without a sales cycle.
Example query: “bootstrapped industrial services companies in the Midwest with 50-200 employees and no institutional investors”
Benchmark
They search the same web.
We find different companies.
Same query across Canonical, Exa, and Parallel. Canonical surfaced 48 companies the others missed.
50 companies found by Canonical.
The broadest shortlist from the same query.
48 only found by Canonical.
Long-tail companies missing from the other result sets.
Canonical returned the broadest shortlist from the same query.
The benchmark pooled 96 companies across all platforms. Canonical surfaced 50 of them, more than either alternative.
Almost zero overlap.
Only 3 companies appeared on more than one platform. Canonical surfaced 48 companies no other platform returned.
| Canonical | Exa | Parallel | |
|---|---|---|---|
| Canonical | 48 | 2 | 0 |
| Exa | 2 | 28 | 1 |
| Parallel | 0 | 1 | 17 |
Diagonal shows companies only found by that platform. Off-diagonal cells show pair overlap.
More results, less waiting.
Canonical returned a broader evidence-backed shortlist in under 10 seconds, while alternatives took minutes to return fewer results.
Different indexes, different companies.
A sample of what each platform surfaced for the same query.
Niche companies purpose-built for the query.
- 01 Schematic
- 02 Togai
- 03 Andra Labs
- 04 Flowglad
- 05 Kickplan
- 06 Stykite
- 07 Amberflo
- 08 RevenueCat
- 09 DevCycle
+ 41 more
Mid-tier developer tools with strong web presence.
- 01 Ably
- 02 Replit
- 03 Cursor
- 04 Weights & Biases
- 05 Contentful
- 06 n8n
- 07 Tabnine
- 08 AssemblyAI
- 09 Chargebee
+ 22 more
Large, well-known companies many developers could name from memory.
- 01 AWS
- 02 Microsoft Azure
- 03 Google Cloud Platform
- 04 Stripe
- 05 Twilio
- 06 OpenAI
- 07 Docker
- 08 Sentry
- 09 Vercel
+ 9 more
SourceScrub
Sources-first deal sourcing: 17M company profiles connected to 290K curated sources — conference attendee lists, trade-show exhibitor lists, directories, and awards lists — verified through an expert-in-the-loop process. Strong on the bootstrapped and founder-owned companies that funding-event databases miss, with scores, rules, CRM integrations, and Data Connect delivery built for PE and investment-bank deal teams.
Limitations: Sales-led end to end — named tiers but request-only pricing, no free tier, and API access provisioned with a plan rather than self-serve signup. Discovery is filter- and list-driven rather than natural-language, there is no official MCP server, and the platform is mid-merger: Datasite is folding SourceScrub and Grata into one product, so the roadmap you buy today is the combined platform's.
Best for: Private equity firms, investment banks, and corporate development teams whose sourcing motion is built around conference calendars and curated source lists, with budget for an annual contract.
Grata (a Datasite company)
Not an independent competitor — Grata is the same owner and the default migration path: Datasite is integrating SourceScrub's data and capabilities into Grata's platform. What you get is middle-market, founder-owned, and bootstrapped coverage (21M+ private companies), agentic AI search and similar-company search on top of traditional filters, an official MCP server, and SourceScrub's curated source lists and human-enriched data folding in.
Limitations: Demo-led access only — no self-serve signup, tier names but no published prices, no free tier — and the MCP server is provisioned through your Grata rep rather than open signup. If you are leaving SourceScrub because of contract pricing, sales-gated access, or merger uncertainty, Grata is the same commercial model under the same owner.
Best for: SourceScrub customers happy with the product and the contract who simply want the combined Grata-SourceScrub platform going forward — staying put, not switching.
Tracxn
Broad global tracking of startups and private companies (7.7M+), organized into sector feeds, taxonomies, and market maps that suit thesis-driven scanning. One of the few platforms in this space with a genuinely self-serve entry point: the free Lite tier requires no credit card, and APIs and data dumps are sold as volume-based packs.
Limitations: Query model is structured filters and curated feeds — no natural-language search, and MCP access is requested in-platform rather than self-serve. Coverage skews toward funded and venture-visible companies, so bootstrapped long-tail businesses are thinner than on sources-first platforms, and Premium pricing is still quoted through sales.
Best for: Teams that want broad sector-map coverage with a free way to evaluate before committing, and research workflows organized around industry feeds rather than one-off searches.
Harmonic
A startup-focused database (35M company records, 195M people records, refreshed weekly) built for venture workflows: saved searches that surface net-new matches, granular filters, a Scout AI agent for natural-language questions, and an official MCP server usable with a Harmonic account (a small free daily request allowance, more with an API plan).
Limitations: Access is sales-led — no self-serve signup, no published pricing, no free tier — and the dataset is purpose-built for venture-relevant startups rather than the full company universe. For a PE or M&A team hunting founder-owned businesses that never raised, that coverage focus works against you.
Best for: Venture and growth investors with a sales-cycle budget who want a startup-specific system of record integrated with their CRM.
Crunchbase
Funding-data heritage with a predictive layer on top: live signals feeding funding, growth, and acquisition predictions. Now ships an official MCP Server for Finance, bringing its predictions into Claude, ChatGPT, and other MCP clients for customers.
Limitations: API access is sales-gated — packages are purchased through the sales team with customized pricing and no free API tier — and the MCP server is provisioned for existing customers. Coverage is strongest where funding events exist; bootstrapped companies that never raised are the known gap for deal-sourcing use cases.
Best for: Teams whose sourcing is anchored on funding events and investor activity, and who want prediction signals about which companies will raise or exit next.
Frequently asked questions
What is happening to SourceScrub?
Datasite acquired both Grata (June 2025) and SourceScrub (August 2025), and SourceScrub is now part of Datasite — its data and capabilities are being integrated into Grata. SourceScrub brought the sources-first dataset (17M companies connected to 290K sources); Grata brings agentic AI search and 21M+ private company profiles. If you are evaluating either today, you are effectively evaluating the combined Datasite platform.
Should I switch to Grata instead of SourceScrub?
Grata is less an alternative than the default migration path — same owner, and the platform SourceScrub is being folded into. Staying makes sense if the product and contract work for you. But if you are re-evaluating because of sales-gated pricing, seat and export gating, or merger uncertainty, Grata carries the same commercial model, so the genuinely different options are the self-serve alternatives on this page.
Is there a self-serve SourceScrub alternative?
Yes. Canonical is self-serve end to end — 250 free credits on signup, then usage-based credits across the app, REST API, Python SDK, and MCP server. Tracxn also offers a self-serve free Lite tier with no credit card required. SourceScrub, Grata, and Harmonic are all sales-led with request-only pricing, and enterprise platforms like PitchBook are quote-based as well.
Which deal-sourcing platforms support MCP?
Canonical runs an open, self-serve MCP server you can connect without a sales cycle. Grata ships an official MCP server provisioned through your rep, Harmonic's works with a Harmonic account, and Crunchbase's MCP Server for Finance is provisioned for customers. SourceScrub and Tracxn publish no official MCP server.
Can I search for companies with natural language instead of filters?
On some of these platforms. Canonical is natural-language-first and shows you the interpreted criteria to edit before running. Grata markets agentic AI search and Harmonic's Scout agent answers natural-language questions on top of their filter systems. SourceScrub and Tracxn are filter- and list-driven, and Crunchbase pairs filters with prediction models rather than free-text search.
When should I just stay on SourceScrub?
When your sourcing motion runs on conference calendars and curated source lists — screening attendee and exhibitor lists ahead of events — and you want scores, rules, and CRM sync managed inside one sales-supported platform, with the Grata integration as your upgrade path. For describe-and-shortlist company discovery, the self-serve alternatives above are faster to start with.