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Playbook

Use CrustData for structured discovery and enrichment with recall-first filtering.
  • Start with free autocomplete (companydb_autocomplete, persondb_autocomplete) to discover canonical values.
  • Default to fuzzy contains operator (.); use strict [.] only when explicitly requested.
  • In changed-company email recovery, use Crust as the second step after LeadMagic and before PDL.
  • Keep filters composable and inspect a small sample before adding expensive enrichments.
  • If Crust misses in the first 10 rows for a batch, move it later for the rest of that batch.
deepline tools execute crustdata_companydb_autocomplete --payload '{"field":"linkedin_industries","query":"software","limit":5}' --json

deepline tools execute crustdata_companydb_search --payload '{"filters":[{"op":"and","conditions":[{"filter_type":"linkedin_industries","type":"(.)","value":"software"},{"filter_type":"hq_country","type":"=","value":"USA"}]}],"limit":5}' --json

deepline enrich --input accounts.csv --output accounts.csv.out.csv --with 'company_lookup=crustdata_companydb_autocomplete:{"field":"company_name","query":"{{Company}}","limit":1}' --json