Specter vs Dealroom

For deal sourcing, yes. Dealroom is the source of record for ecosystem data, especially in Europe, and it's excellent at market-level questions: how a region is performing, how a sector is funded, where a country ranks. Specter is built for company-level and founder-level questions: which startup just hit an inflection, which founder just left a unicorn, which investor is circling a deal. It tracks 50M+ companies and 700M+ people in real time, with signal feeds no mapping platform carries. Plenty of European funds run both; when the job is finding and winning deals, Specter is the layer that does it.

Three reasons come up most. Scale: Specter tracks 50M+ companies and 700M+ people, where third-party write-ups put Dealroom's curated coverage around 4M+ companies (Ellty, 2026). People: a full person graph with verified role history and retrievable emails, where Dealroom offers key people and talent scores on profiles. And timing: predictive investor-interest signals, ~136K tracked stealth founders and 500+ revenue signals a day tell you when to move, not just where to look.

Specter tracks 50M+ companies, 700M+ people, 350K+ investors and 1M+ transactions, with 250+ data points per company and 60+ per person. Dealroom doesn't publish a company count; third-party reviews report roughly 4M+ curated companies (Ellty, 2026). The gap matters most in the long tail: bootstrapped, stealth and just-started companies that a curated tech database hasn't tagged yet are exactly where sourcing edges live.

It does, and they're good: signal scores, a real-time newsfeed and a "Just founded" feed for pre-funding companies. The difference is what the signals see. Dealroom's report what has become visible. Specter's Investor Interest Signals are predictive, reading observed engagement between partners and founders to flag who is likely to lead a round before anything is announced. Its talent feed catches founders at the moment they go stealth, at roughly 30K talent signals a week. Observed tells you what happened; Specter also tells you what's about to.

Both model estimates, and Dealroom pairs theirs with EV/ARR multiples and cap-table data. Specter's difference is transparency and cadence: every estimate ships with a P10/P90 confidence band and the verified disclosures it's anchored to, and it re-rates monthly rather than holding still between rounds. You can see how much to trust the number before you use it, and the band widens honestly when signal is thin.

Specter covers Europe as part of a 50M+ company global index, and European funds are among its heaviest users. That said, Dealroom's European depth is the best in the market, and its ecosystem partnerships with governments and agencies are a franchise Specter doesn't compete for. If the job is publishing a national report, Dealroom is the right tool. If the job is finding the next European breakout before the round happens, funds pair Specter with it, or run Specter alone, for the people graph, the stealth detection and the predictive signals.

The data is real-time. Daily incrementals run across every dataset: company, people, investor, news, revenue, talent, transactions and funding signals. The API always serves the live record, so a pull reflects what's true at that moment rather than a snapshot.

Yes. Agents, Specter's agentic AI chat, run natively in the platform: straightforward to use, extendable with skills, and grounded in the entire Specter database plus web search. Natural-language and semantic search covers all 50M+ companies alongside them. And Specter MCP takes the dataset into Claude, Cursor, OpenAI, or any agent you already work in. Dealroom also offers a hosted MCP server, so on agent access the two are peers; the difference is the data on the other side of the connection.

The API is a paid product, and access is approval-based rather than self-serve: talk to the team and you'll be set up with a key. What you get is the most complete and best priced API on the market: companies, people, investors, transactions, estimates, verified emails, the network graph and all four signal feeds behind one key, with pages up to 5,000 records and docs published in LLM-native formats.

Very likely. It ships as a web app, an API, bulk warehouse delivery to AWS, Google Cloud and Snowflake in CSV or Parquet, a Chrome extension, CRM sync for Salesforce, HubSpot, Attio and Airtable, and Specter MCP for agents. One dataset arriving wherever your team already spends the day, with nothing to migrate.