Specter vs Crustdata

Over 400 VC funds source on Specter, the data layer for private markets: 55M+ companies, 550M+ people, 330K+ investors and 1M+ transactions, refreshed by new signals daily.

A data pipe is infrastructure. A signal layer is an edge. Crustdata hands your engineers clean, live public company data. Specter adds the datasets nobody else sells (observed investor intent, modeled revenue and valuation, 1,000+ talent signals a day) and delivers them to the whole fund: app, API, warehouse and agent.

Here are the main reasons investment teams pick Specter over Crustdata as their private markets data layer:

Data coverage

Crustdata

250+ data points per company, resolved live from 15+ sources, with on-demand crawl for companies not yet indexed (per Crustdata's site). Headline company and people totals aren't published.

Specter

One connected graph with four entity types: 55M+ companies and 550M+ people, plus 330K+ investors and 1M+ transactions. 250+ data points per company and 60+ per person, organized under an industry taxonomy detailed enough to filter the long tail niche by niche.

What counts as a signal

Crustdata

The Watcher API pushes a webhook when a tracked attribute changes: a job change, a funding announcement, a department-level hiring surge.

Specter

The same change detection, and then four proprietary feeds you can't derive from public attributes: predicted investor and acquirer intent, AI plus human verified revenue disclosures (500+ a day), stealth-founder emergence, and news distilled from 60,000+ verified sources.

Investor intent

Only on Specter
Crustdata

Reports funding rounds when they're announced, with investors named on the company record.

Specter

7,000+ confidence-scored investor-interest signals a week flag who is likely to lead the round before the headline, drawn from observed engagement between partners, founders and C-suites. No public attribute carries this; it's a dataset only Specter builds.

Revenue Signals

Only on Specter
Crustdata

Revenue appears as an available field on the company profile, alongside headcount, traffic and reviews.

Specter

Reported revenue whenever it's been disclosed, plus a live feed of 500+ verified revenue and profitability disclosures a day, AI plus human checked, from news, social, podcasts, press releases and filings. Specter also models a monthly revenue figure for every private company, so a number exists even when nobody has disclosed one.

Valuations

Only on Specter
Crustdata

Carries the valuation that a round announcement makes public.

Specter

Reported valuations when rounds make them public, plus a valuation estimate that keeps moving between rounds: re-modeled monthly, snapped to every priced round, and published with a 90% confidence band. Quantile-regressed revenue stacked with funding history, investor quality and stage.

Founders & stealth

Only on Specter
Crustdata

People Search and People Enrichment with around 90 data points per person, plus LinkedIn posts by person (per Crustdata's docs).

Specter

550M+ people with role history, education and founder pedigree, plus 1,000+ talent signals a day: new stealth founders (roughly 136K tracked), unicorn and Fortune-500 spinouts, and fresh YC founders and applicants. You can reach the founder before the company has a website.

Who can use it

Crustdata

Designed for machine and developer access; the sourcing UI and workflow layer are yours to build.

Specter

A web app the whole fund logs into: saved searches that turn into live feeds, a Chrome extension, network tracking, and native CRM sync with Salesforce, Affinity, Attio and Airtable. The partner, the analyst and the pipeline all read the same record, and nothing has to be built first.

AI Search & Agents

Crustdata

Positioned for AI agents from the start: Crustdata MCP is live, and the API is built for agent and developer workflows.

Specter

Agents, Specter's agentic AI chat, ship native in the platform: quick to drive, steerable with skills, and grounded in the full Specter database plus web search. Natural-language and semantic search runs across all 55M+ companies right beside them. And Specter MCP puts the whole dataset, signal feeds included, inside Claude, Cursor, OpenAI, or any agent you run.

Delivery surface

Crustdata

Real-time API plus flat-file company and people datasets, refreshed monthly and delivered as CSV or JSON (per Crustdata's pricing page).

Specter

The web app, one API for everything (enrichment is the job most teams give it first), bulk delivery into AWS, Google Cloud or Snowflake as CSV or Parquet, the Chrome extension, CRM sync and Specter MCP. The same dataset in the app, the API, the warehouse and the CRM.

What the API exposes

Crustdata

Company and people enrichment and search, dedicated Jobs and Posts APIs, Watcher webhooks and on-demand crawl of unindexed companies. Well documented, with a public credit table and published rate limits (per Crustdata's docs).

Specter

Around 64 endpoint paths across four entity types: companies, people, investors and transactions, with all four signal feeds as first-class endpoints and estimates returned with P10/P90 bands and their anchoring disclosures. Pages carry up to 5,000 records for real backfills.

Specter has data Crustdata doesn't.

A short list of what you get on Specter that isn't part of Crustdata's dataset. The full rundown lives on the platform page.

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What's on Specter but not on Crustdata:

  • Predictive investor and acquirer intent
  • Modeled revenue on every private company
  • Valuation estimates between rounds
  • Stealth-founder detection, ~136K tracked
  • 330K+ investor profiles with portfolios
  • 1M+ transactions, queryable directly
  • A web app, extension and CRM sync (no build)
  • Team network tracking
  • And more

The most complete private-markets API.

One REST API on OpenAPI 3.0 reaches the entire dataset: companies, people, investors and transactions, the four proprietary signal feeds, modeled revenue and valuation, verified emails and your team's network graph. Enrichment is the job most teams give it first, and every list or saved search built in the app doubles as a live feed.

Signal feeds are endpoints

Revenue, Talent, Investor-Interest and News signals are addressable resources, each carrying confidence scores, source attribution and dates. The proprietary datasets aren't trapped in a UI; your pipeline reads them the same way the app does.

Four entity types, one key

Around 64 endpoint paths and 65 schemas span companies, people, investors with funds and portfolios, and transactions covering funding rounds, acquisitions and IPOs, plus estimates, verified emails, network and logs. A single team key on X-API-KEY covers all of it.

Uncertainty is a field

The estimates endpoint returns modeled revenue and valuation with P10 and P90 bounds, a confidence tier and the count of anchoring disclosures. You can audit the number inside the payload instead of taking a range on faith.

Sized for backfills

Pagination runs to 5,000 records per page, and bulk by-id endpoints cover companies, people and talent. A full market map becomes one job rather than a thousand requests.

Searches built in the app, read in code

An analyst assembles a search or list in the web app; the pipeline pulls every result over the API and subscribes to new matches as they land. The two stay in sync by construction, and building searches spends no credits.

Headers that keep pipelines polite

Workspace-level rate and credit limits come back on every response through X-RateLimit and X-CreditLimit-Reset headers, so long-running jobs back off cleanly instead of failing mid-sweep.

Misses cost nothing

Enrichment resolves companies, people and investors from a domain, LinkedIn URL or email, and only matched results are charged. A record Specter doesn't hold yet gets queued for gathering, so the retry can land.

Docs your agents can read

The reference ships as llms.txt, llms-full.txt and Markdown per page, and Specter MCP exposes the same dataset directly to agents. Crustdata's docs are excellent too; the difference here is the LLM-native format.

Specter API vs Crustdata API

Specter figures come from its API docs; Crustdata figures from docs.crustdata.com and its pricing page. "Not published" means Crustdata doesn't state the figure publicly, not that the capability is missing.

CapabilityCrustdata
Specter
What's included
Programmatic access
Yes
Yes
Company & people databases
Yes
Yes
Investors as an entity
Fields on the company record
330K+ profiles, funds + portfolios
Transactions as an entity
Funding history on the record
1M+ rounds, acquisitions, IPOs
Modeled revenue & valuation
Revenue as an available field
Every company, P10/P90 bands
Signal feeds as endpoints
Watcher change events
Revenue, Talent, Interest, News
Team network graph
Not offered
Dedicated endpoints
Verified email retrieval
Contact data available
Per-person + bulk
Querying & workflows
API protocol
REST
REST (OpenAPI 3.0)
Plain-English search endpoint
Filter-based + autocomplete helpers
One endpoint, eight products
Change-detection webhooks
Watcher API, push not poll
Saved-search + list feeds
On-demand crawl of unindexed companies
Documented, minutes to 24h
Misses queued for gathering
Self-serve signup
Yes
Approval-based access
Published per-endpoint pricing
Public credit table
Not published
Scale & delivery
Max page size
Not published as one figure
Up to 5,000
Flat-file / warehouse delivery
Monthly flat files, CSV/JSON
AWS, GCP, Snowflake · CSV/Parquet
Jobs & social posts data
Dedicated Jobs + Posts APIs
Hiring + social inside signals
Docs & agents
API documentation
Widely praised in reviews
OpenAPI 3.0, ~64 paths
LLM-native docs (llms.txt)
Not published
llms.txt + full text + Markdown
Runs inside AI agents
Crustdata MCP
Specter MCP

The private market data platform VCs trust.

The funds that benchmark every vendor land on Specter.

Customer logoCustomer logoCustomer logoCustomer logoCustomer logoCustomer logoCustomer logoCustomer logoCustomer logoCustomer logo

Specter will become table stakes for any fund that wants to be in the top quartile.

Richard Dulude

Richard Dulude

Partner, Underscore VC

In a short period of time, Specter has become an integral part of how we ensure we have 100% coverage of the markets we operate in.

Gideon Hayden

Gideon Hayden

Partner, Leaders Fund

We've already found one of our investments through Specter. Its value extends well beyond pure sourcing.

Pietro Invernizzi

Pietro Invernizzi

Founder, firedrop

Join the 400+ venture firms that run on Specter data.

Give us 30 minutes and we'll put your pipeline through Specter live, signals and all.

Book a demo

Frequently Asked Questions

It depends on which layer of the stack you're buying. Crustdata is data infrastructure: a live, well-documented API for public company data, built for teams assembling their own tools. Specter is a private-markets intelligence platform: 55M+ companies, 550M+ people, 330K+ investors and 1M+ transactions, four proprietary signal feeds, modeled revenue and valuation, and a web app, Chrome extension, CRM sync and MCP running on top of the same API. If the goal is an internal build on public data, Crustdata is a strong pipe. If the goal is proprietary signal the whole fund can act on without building anything, that's Specter.

The full private-markets picture, in one platform.

More than 400 venture funds make Specter their source of record for private markets: 55M+ companies, 550M+ people and 1M+ transactions, with new signals arriving daily.

The app investors live in.

Search 55M+ companies, follow the signal feeds, and see your team's warmest path into every deal.

Feeds for revenue, talent and investor interest
Lists, saved searches and email digests
Network mapping across your team
Book a demo
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