How fresh is the data for screened companies?

Company profiles update continuously from 15+ sources. For companies not yet tracked, real-time enrichment returns a fresh profile within 10 minutes at 5 credits per company.

How does pricing compare to PitchBook or Dealroom?

Credit-based pricing with no per-seat fees. Company search costs 1 credit per 100 results. Enrichment costs 1 credit per company. Most deal screening workflows run $1K to $3K per month versus $50K or more per year for a PitchBook seat.

Can I integrate this with my internal deal sourcing tools?

Every endpoint returns structured JSON via REST API. Teams pipe results into Airtable, Snowflake, internal deal platforms, and AI agents without manual exports.

What signals can I track after the initial screen?

The Watcher API monitors funding rounds, leadership hires, headcount growth thresholds, social posts, and press mentions. Alerts arrive as webhooks when a tracked company or person changes.

Screen every deal with data from today.

Your screening exports are outdated before the IC memo is finished. Search 60M+ companies with 95+ filters and 250+ live datapoints that reflect what is true right now.

Book a demo

Read API docs

95+

Screening filters

250+

Live datapoints

60M+

Companies

PitchBook, Capital IQ, and Crunchbase all refresh on the same schedule you do not control.

Your filters run against last quarter's numbers.

PitchBook and Capital IQ refresh company profiles on their own cycle. Companies that no longer match your criteria still appear in your screen, while companies that match today stay invisible.

Your deal memo cites data from the export date, not the meeting date.

Every new screen starts with a CSV export and a manual check.

PitchBook, Capital IQ, and Crunchbase all refresh on the same schedule you do not control.

Your filters run against last quarter's numbers.

PitchBook and Capital IQ refresh company profiles on their own cycle. Companies that no longer match your criteria still appear in your screen, while companies that match today stay invisible.

Your deal memo cites data from the export date, not the meeting date.

Every new screen starts with a CSV export and a manual check.

PitchBook, Capital IQ, and Crunchbase all refresh on the same schedule you do not control.

Your filters run against last quarter's numbers.

PitchBook and Capital IQ refresh company profiles on their own cycle. Companies that no longer match your criteria still appear in your screen, while companies that match today stay invisible.

Your deal memo cites data from the export date, not the meeting date.

Every new screen starts with a CSV export and a manual check.

What changes when you stop relying on outdated CSV exports.

Today

With Crustdata

Export 5,000 companies from PitchBook, upload CSV, then spot-check each row

Search 60M+ companies with 95+ filters in one API call

Headcount and funding data reflect the last database refresh, not today

250+ datapoints enriched live from 15+ sources at query time

New funding rounds appear days or weeks after close

Watcher webhooks fire when a tracked company raises a round or crosses a growth threshold

Screening logic lives in spreadsheets because PitchBook has no API you control

REST API returns structured JSON you pipe into Airtable, Snowflake, or your internal deal platform

Screen a thousand companies in one API call

Pass your investment thesis as filters. The API returns every matching company ranked by the signal that matters most to your fund.

last_funding_round_type

employee_metrics.growth_6m_percent

sorts

1 credit per 100 results.

Enrich every company on your shortlist with data from today

Each company on your screen returns 250+ datapoints pulled live from 15+ sources. Headcount trends, funding history, web traffic, leadership, and hiring velocity populate your deal memo without a single CSV export.

total_employees + employee_growth_6m

last_funding_date

total_open_jobs + open_jobs_growth_3m

1 credit per company.

Track the companies that match your thesis, with realtime signals

Set a Watcher on any company in your pipeline. When headcount crosses a threshold, a funding round closes, or a key hire appears, the Watcher fires a structured webhook to your CRM or deal platform.

event_type

change_percent

detected_at

1 credit per Watcher check cycle.

Your next deal memo starts with data from today.

Your analyst opens the screening tool and the companies are already filtered by your thesis. Headcount, funding, leadership, and traffic populate the deal memo and pitch book without a single CSV export.