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Crustdata

Start with free autocomplete and default to fuzzy contains operators `(.)` for higher recall. Use ISO-3 country codes, prefer crunchbase_categories over linkedin_industries for niche verticals, and use employee_count_range for filtering instead of employee_metrics.latest_count.

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Entry · Deepline integration

Tasks you can run with Crustdata on Deepline

Crustdata is wired into Deepline. 12 actions are available out of the box, runnable from the CLI or as a column step in an enrichment spreadsheet.

Quick start

deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=crustdata_company_enrichment:{"companyDomain":"example.com"}' --json
Start with free autocomplete and default to fuzzy contains operators `(.)` for higher recall. Use ISO-3 country codes, prefer crunchbase_categories over linkedin_industries for niche verticals, and use employee_count_range for filtering instead of employee_metrics.latest_count.

Available actions

Company Enrichment

Running broader company enrichment with CrustData fields

deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=crustdata_company_enrichment:{"companyDomain":"example.com"}' --json
per_result0.4 credits/unit

Companydb Autocomplete

Autocomplete suggestions for company fields. Use this before CompanyDB search for categories, industries, investors, and funding-stage values instead of guessing enums.

deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=crustdata_companydb_autocomplete:{"field":"{{field}}","query":"{{query}}"}' --json
fixed0 credits/unit

Companydb Search

Searching CrustData CompanyDB with structured filters. Best for crisp ICP pulls when you validate canonical values first; use ISO-3 hq_country, employee_count_range for filtering, and extract returned firmographics directly instead of re-enriching them.

deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=crustdata_companydb_search:{"filters":[{"filter_type":"hq_country","type":"=","value":"USA"}]}' --json
per_result0.01 credits/unit

Enrich Company

Enriching one company from domain-level identifiers

deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=crustdata_enrich_company:{"domain":"example.com"}' --json
per_result0.4 credits/unit

Enrich Contact

Enriching one person from an email or profile identifier

deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=crustdata_enrich_contact:{"email":"jane.doe@example.com"}' --json
per_result1.2 credits/unit

Job Listings

Pulling company job listing intelligence. Best for known companies; coverage is thinner on smaller accounts and role/title filtering is usually a downstream step after retrieval.

deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=crustdata_job_listings:{"companyDomains":["example.com"]}' --json
per_result0.4 credits/unit

Linkedin Posts

Fetching and filtering LinkedIn post activity

deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=crustdata_linkedin_posts:{"keyword":"{{keyword}}"}' --json
per_result0.4 credits/unit

People Enrich

Enriching multiple people records in batch style

deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=crustdata_people_enrich:{"linkedinProfileUrl":"https://www.linkedin.com/in/example"}' --json
per_result1.2 credits/unit

People Search

Running people search across CrustData datasets. Better as a structured retrieval/fallback path than as a source-of-truth TAM sizing tool.

deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=crustdata_people_search:{"companyDomain":"{{companyDomain}}","titleKeywords":["{{titleKeywords}}"]}' --json
per_result0.02 credits/unit

Person Enrichment

Running deeper person enrichment from known profile inputs

deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=crustdata_person_enrichment:{"linkedinProfileUrl":"https://www.linkedin.com/in/example"}' --json
per_result1.2 credits/unit

Persondb Autocomplete

Autocomplete suggestions for person fields

deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=crustdata_persondb_autocomplete:{"field":"{{field}}","query":"{{query}}"}' --json
fixed0 credits/unit

Persondb Search

Searching CrustData PersonDB with structured filters

deepline enrich --input leads.csv --output leads.enriched.csv --with 'result=crustdata_persondb_search:{"filters":[{"filter_type":"region","type":"(.)","value":"United States"}]}' --json
per_result0.02 credits/unit
Entry · Field reports

What people are saying about Crustdata

Real quotes from 4 cited sources across Reddit, HN, X, G2, and community forums.

Our entire sales team is now Claude-pilled. They all use a Claude skill we made called pre-call research. Everyone connected their Claude to Google Calendar, the Crustdata MCP and Slack. Before every call it automatically looks at who is attending, pulls the company page and domain data from Crustdata. The enrichment runs in seconds and the reps walk into calls genuinely prepared.

xby @chrispisarskiApr 1, 2026

The API is clean, fast, and well-documented, which makes integration with existing workflows almost effortless. The People Enrichment API pulls 90+ live datapoints from the web for a given profile — current job title, past work experience, education, and emails — all pulled at query time so you never get stale data. For teams serious about GTM, recruiting, or investment signals, Crustdata is one of the better tools available.

blogby Product Hunt ReviewersMar 1, 2026

Crustdata delivers updates instantly via APIs and webhooks, which users find particularly valuable for responsive dashboards and tighter feedback loops. Credit-based pricing is consumption-driven, so you pay for what you use. One gap to note: no phone number data, so you will want to layer in a separate provider like Apollo or Cognism for phone coverage.

blogby Crustdata BlogMar 1, 2026

Crustdata powers 200+ platforms including recruiting, sales, and investing, with Y Combinator as a client. The MCP integration means sales teams can run real prospecting workflows through Claude every day — connecting real-time company and people data directly into AI agent workflows without switching tabs or exporting CSVs.

blogby CrustdataMar 1, 2026
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