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Documentation Index

Fetch the complete documentation index at: https://deepline.com/docs/llms.txt

Use this file to discover all available pages before exploring further.

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Playbook

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Datagma — Agent Guidance

Datagma is a real-time B2B enrichment provider with 75+ data points per person, strong phone coverage, job-change detection, and international reach.

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When to use Datagma

  • You need a phone number and other enrichers have come up empty.
  • You need real-time job-change signals (the job_change_detected field is native).
  • You need international coverage (APAC, EMEA) where US-centric providers fall short.
  • You have 1,000 free credits and want real data to test a waterfall.

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Primary identifier priority

  1. linkedin URL — highest match rate, fastest resolution.
  2. email — good fallback when LinkedIn is unavailable.
  3. fullName + domain — lower confidence; combine with company context.
  4. fullName + companyName — lowest confidence; only use when domain is unknown.

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datagma_enrich_person

deepline tools execute datagma_enrich_person \
  --payload '{"linkedin":"https://www.linkedin.com/in/johndoe"}'
Output shape (key fields at top level):
  • email / professional_email / personal_email
  • phone / mobile_phone
  • full_name, title, seniority, department
  • location.city, location.country
  • company.name, company.domain, company.industry, company.size
  • experience[] — full job history with is_current flag
  • job_change_detected — true if a recent employer change was detected
  • confidence_score — 0–1 confidence from Datagma
Target getter paths (for waterfall):
  • email: email, professional_email, personal_email
  • phone: phone, mobile_phone
  • linkedin: linkedin
  • name: full_name
  • company: company.name

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datagma_find_email

Fast email finder — cheaper (in terms of matching complexity) than full enrichment when you only need an email address. 
deepline tools execute datagma_find_email \
  --payload '{"firstName":"John","lastName":"Doe","companyDomain":"acme.com"}'
Always prefer companyDomain over companyName for accuracy.

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datagma_enrich_company

Enrich firmographics for an account. Feeds into account scoring and ICP qualification. 
deepline tools execute datagma_enrich_company \
  --payload '{"domain":"acme.com"}'
Output includes: industry, size, headcount, revenue, funding_stage, technologies, hq_country.

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Cost notes

  • Person enrichment: 1 credit (~$0.04) per result.
  • Email finder: 1 credit (~$0.04) per email found.
  • Company enrichment: 1 credit (~$0.02) per result.
  • Credits are billed post-deduct (only charged when data is returned).
  • 1,000 free credits at signup — no credit card required.

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Waterfall placement

In a people-enrich waterfall, place Datagma:
  • After free enrichers (Apollo preview, LinkedIn scrape) but before expensive fallbacks.
  • Specifically useful as a phone-finder fallback after ContactOut or RocketReach.
  • Job-change detection makes it valuable as a “refresh trigger” — run for contacts not enriched in the last 90 days to detect company changes before outreach.

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Gotchas

  • The full enrichment endpoint is /api/ingress/v2/full for both person AND company data. When only domain/companyName is passed (no person identifiers), it returns company-only data.
  • Auth uses a query param (?apikey=...) — this is handled automatically by the provider config.
  • A 200 response with empty fields means “not found” — check for null email/name before treating as enriched.
  • job_change_detected: true does NOT mean the person left their current company. It means Datagma detected a change vs. their last known record. Always check experience[0] for the current role.