capabilities

Comprehensive Enrichment

Name: Comprehensive Enrichment
Author: Athina AI

Enrich any person or company from any identifier — email, name, LinkedIn URL, domain, company name, Twitter/X handle. Use when asked to enrich, look up, or research a lead, contact, person, or company.

by Athina AI

Run in Gooseworks View skill in Github

Install

Terminal

npx gooseworks install --all

# then, in Claude Code, Cursor, or Codex:
/gooseworks use the comprehensive-enrichment skill

About This Skill

Comprehensive Enrichment — Person & Company

Setup

Read your credentials from ~/.gooseworks/credentials.json:

export GOOSEWORKS_API_KEY=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json'))['api_key'])")
export GOOSEWORKS_API_BASE=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json')).get('api_base','https://api.gooseworks.ai'))")

If ~/.gooseworks/credentials.json does not exist, tell the user to run: npx gooseworks login

All endpoints use Bearer auth: -H "Authorization: Bearer $GOOSEWORKS_API_KEY"

Maximum data + correctness. Use ALL relevant APIs, cross-reference results, flag conflicts.

1. Identifier Detection

Detect input type, then route:

Input	Contains	Route
Email	`@`	Person + Company (extract domain)
LinkedIn person URL	`linkedin.com/in/`	Person + Company (from results)
LinkedIn company URL	`linkedin.com/company/`	Company only
Domain	`.com`, `.io`, etc.	Company only
Company name	No special pattern	Company only
Name + company	"John Doe at Stripe"	Person + Company
Twitter/X handle	`@handle` or `x.com/`	Person + Company (from results)

Person always cascades to company. Once person enrichment reveals their employer (company name, domain, or LinkedIn company URL), automatically run full company enrichment too. The only time you skip company is if you truly can't identify one. If LinkedIn person URL provided: use full URL for Fiber calls, extract username/slug for other endpoints.

2. Person Enrichment

Run ALL of these in parallel where possible. Collect everything, then compile.

2a. Full Profile & Contact Info

Fiber kitchen-sink (accepts LinkedIn URL, email, or name+company):

# By LinkedIn URL:
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"fiber","path":"/v1/kitchen-sink/person","body":{"profileIdentifier":"https://linkedin.com/in/johndoe"}}'
 
# By email:
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"fiber","path":"/v1/kitchen-sink/person","body":{"emailAddress":"john@stripe.com"}}'
 
# By name + company:
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"fiber","path":"/v1/kitchen-sink/person"}'
  "personName": {"fullName": "John Doe"},
  "companyName": {"name": "Stripe"},
  "companyDomain": {"domain": "stripe.com"}
}'

Nyne person search (async — deep work history, education, social):

# Step 1: POST to start search
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"nyne","path":"/person/search","body":{"query":"John Doe Stripe"}}'
# Step 2: Poll with GET using request_id
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"nyne","path":"/person/search","query":{"request_id":"REQUEST_ID"}}'

Sixtyfour enrich-lead (AI-powered — slow, ~30-60s, but finds rich context):

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"sixtyfour","path":"/enrich-lead"}'
  "lead_info": {"first_name": "John", "last_name": "Doe", "company": "Stripe", "linkedin_url": "https://linkedin.com/in/johndoe"},
  "struct": {"work_email": "Work email", "personal_email": "Personal email (Gmail, etc.)", "phone": "Phone number", "title": "Job title", "bio": "Short bio"}
}'

2b. Email — Find & Verify

Collect ALL emails — work AND personal. Many use cases (recruiting, etc.) need personal emails. Present each email with its type (work/personal) and verification status.

Find work email (cross-reference Hunter + Tomba):

# Hunter (returns work email)
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"hunter","path":"/v2/email-finder","query":{"domain":"stripe.com","first_name":"John","last_name":"Doe"}}'
 
# Tomba (returns work email + sometimes personal)
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"tomba","path":"/v1/email-finder","query":{"domain":"stripe.com","company":"Stripe","first_name":"John","last_name":"Doe"}}'

Find personal email — these sources often return personal (Gmail, etc.):

# Tomba from LinkedIn (often returns personal email)
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"tomba","path":"/v1/linkedin","query":{"url":"https://linkedin.com/in/johndoe"}}'
 
# Tomba enrich (returns all known emails for a person)
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"tomba","path":"/v1/enrich","query":{"email":"john@stripe.com"}}'

Nyne person/search and Sixtyfour enrich-lead (Section 2a) also return personal emails — check their results.

Verify ALL found emails (run all three verifiers per email):

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"hunter","path":"/v2/email-verifier","query":{"email":"john@stripe.com"}}'
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"tomba","path":"/v1/email-verifier","query":{"email":"john@stripe.com"}}'
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"fiber","path":"/v1/validate-email/single","body":{"email":"john@stripe.com"}}'

Verify every email found — work and personal. Run verifiers in parallel across all emails.

2c. Phone

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"sixtyfour","path":"/find-phone"}'
  "lead": {"first_name": "John", "last_name": "Doe", "company": "Stripe"}
}'

2d. Social Profiles & Activity

LinkedIn profile (Fiber):

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"fiber","path":"/v1/linkedin-live-fetch/profile/single","body":{"identifier":"https://linkedin.com/in/johndoe"}}'

LinkedIn recent posts (Fiber):

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"fiber","path":"/v1/linkedin-live-fetch/profile-posts","body":{"identifier":"https://linkedin.com/in/johndoe"}}'

Twitter/X activity (Nyne — async, returns tweets + engagement metrics):

# Step 1: POST with Twitter URL
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"","path":"","body":{"social_media_url":"https://x.com/HANDLE"}}'
# Step 2: Poll with GET
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"nyne","path":"/person/newsfeed","query":{"request_id":"REQUEST_ID"}}'

2e. Open-Ended Research

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"linkup","path":"/search"}'
  "q": "John Doe Stripe VP Engineering recent news interviews talks",
  "depth": "deep",
  "outputType": "sourcedAnswer"
}'

2f. Compile Person Data

Cross-reference all API results. Merge name, title, emails (work + personal with verification status), phone, LinkedIn, Twitter, work history, education, and recent activity. When APIs disagree, keep both values with source labels. Once employer is identified, run full company enrichment (Section 3). See Section 5 for output formatting.

3. Company Enrichment

Run ALL of these in parallel where possible.

3a. Overview

Brand.dev (industry, size, description, logo):

# By domain (primary):
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"brand-dev","path":"/v1/brand/retrieve","query":{"domain":"stripe.com"}}'
 
# By company name (if no domain):
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"brand-dev","path":"/v1/brand/retrieve-by-name","query":{"name":"Stripe"}}'
 
# By email (extracts domain):
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"brand-dev","path":"/v1/brand/retrieve-by-email","query":{"email":"john@stripe.com"}}'

Hunter company data:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"hunter","path":"/v2/domain-search","query":{"domain":"stripe.com"}}'

Fiber company data (LinkedIn-enriched):

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"fiber","path":"/v1/kitchen-sink/company","body":{"companyDomain":{"domain":"stripe.com"}}}'

3b. Leadership & Employees

Key people by title:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"fiber","path":"/v1/natural-language-search/profiles","body":{"query":"CEO, CTO, CFO, COO, VP at Stripe","pageSize":10}}'

3c. Funding

Nyne funding history (async):

# Step 1: POST
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"","path":"","body":{"company_name":"Stripe"}}'
# Step 2: Poll with GET
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"nyne","path":"/company/funding","query":{"request_id":"REQUEST_ID"}}'

Nyne investors:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"","path":"","body":{"company_domain":"stripe.com"}}'

3d. Products & Web Presence

Products from website:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"brand-dev","path":"/v1/brand/ai/products","body":{"domain":"stripe.com"}}'

Scrape for pricing/features:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"scrapegraph","path":"/v1/smartscraper"}'
  "website_url": "https://stripe.com/pricing",
  "user_prompt": "Extract all products, pricing tiers, and features"
}'

Find competitors/similar companies:

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"exa","path":"/findSimilar"}'
  "url": "https://stripe.com",
  "numResults": 10,
  "contents": {"text": true}
}'

3e. Open-Ended Research

curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"linkup","path":"/search"}'
  "q": "Stripe recent news funding announcements partnerships press releases",
  "depth": "deep",
  "outputType": "sourcedAnswer"
}'

3f. Compile Company Data

Cross-reference all API results. Merge overview, leadership, funding, products, competitors, news, and social presence. When APIs disagree, keep both values with source labels. See Section 5 for output formatting.

4. Full Pipeline Example — `enrich john@stripe.com`

Step 1: Detect — Email → person enrichment + extract domain stripe.com for company.

Step 2: Person enrichment (run in parallel):

# Profile (3 sources)
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"fiber","path":"/v1/kitchen-sink/person","body":{"emailAddress":"john@stripe.com","companyDomain":{"domain":"stripe.com"}}}'
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"nyne","path":"/person/search","body":{"query":"john stripe.com"}}'
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"sixtyfour","path":"/enrich-lead","body":{"lead_info":{"email":"john@stripe.com","company":"Stripe"},"struct":{"work_email":"Work email","personal_email":"Personal email","phone":"Phone","title":"Title","bio":"Bio"}}}'
 
# Find personal email
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"tomba","path":"/v1/enrich","query":{"email":"john@stripe.com"}}'
 
# Verify work email (3 sources)
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"hunter","path":"/v2/email-verifier","query":{"email":"john@stripe.com"}}'
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"tomba","path":"/v1/email-verifier","query":{"email":"john@stripe.com"}}'
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"fiber","path":"/v1/validate-email/single","body":{"email":"john@stripe.com"}}'
# Also verify any personal emails found with the same 3 verifiers
 
# Phone
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"sixtyfour","path":"/find-phone","body":{"lead":{"email":"john@stripe.com","company":"Stripe"}}}'
 
# Research
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"linkup","path":"/search","body":{"q":"john stripe.com","depth":"deep","outputType":"sourcedAnswer"}}'

Once you have the person's full name + LinkedIn from Step 2, fire off:

# LinkedIn profile + posts
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"fiber","path":"/v1/linkedin-live-fetch/profile/single","body":{"identifier":"LINKEDIN_URL"}}'
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"fiber","path":"/v1/linkedin-live-fetch/profile-posts","body":{"identifier":"LINKEDIN_URL"}}'
 
# Twitter (if discovered)
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"","path":"","body":{"social_media_url":"https://x.com/TWITTER_HANDLE"}}'

Step 3: Company enrichment (run in parallel with person):

# Overview
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"brand-dev","path":"/v1/brand/retrieve","query":{"domain":"stripe.com"}}'
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"hunter","path":"/v2/domain-search","query":{"domain":"stripe.com"}}'
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"fiber","path":"/v1/kitchen-sink/company","body":{"companyDomain":{"domain":"stripe.com"}}}'
 
# Leadership
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"fiber","path":"/v1/natural-language-search/profiles","body":{"query":"CEO, CTO, CFO, COO, VP at Stripe","pageSize":10}}'
 
# Funding
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"","path":"","body":{"company_name":"Stripe"}}'
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"","path":"","body":{"company_domain":"stripe.com"}}'
 
# Products & competitors
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"brand-dev","path":"/v1/brand/ai/products","body":{"domain":"stripe.com"}}'
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"scrapegraph","path":"/v1/smartscraper","body":{"website_url":"https://stripe.com/pricing","user_prompt":"Extract all products, pricing tiers, and features"}}'
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"exa","path":"/findSimilar","body":{"url":"https://stripe.com","numResults":10}}'
 
# News
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
  -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"api":"linkup","path":"/search","body":{"q":"Stripe recent news funding announcements","depth":"deep","outputType":"sourcedAnswer"}}'

Step 4: Compile & Format — Merge all results, cross-reference, flag conflicts, then present using the two-tier output format (Section 5): summary card first, full details below.

5. Output Format

Always present results in two tiers: a scannable summary card on top, then full details below.

Tier 1: Summary Card

Lead with this. A sales rep should be able to scan it in 30 seconds.

For a Person (+ their company):

## 🔍 {Full Name} — {Title} at {Company}
 
**Contact**
- ✉️ Work: {email} ({verification status})
- ✉️ Personal: {email} ({verification status})
- 📱 {phone}
- 🔗 LinkedIn: {url}
- 𝕏 Twitter: {url}
 
**Bio**: {One-liner from best available source}
 
**Personalization Angles**
1. {Recent activity, talk, post, or news mention — with date}
2. {Another angle}
3. {Another angle}
 
**Company Snapshot**: {Company} · {industry} · {employee count} employees · HQ: {location}
Latest funding: {round type} — ${amount} ({date}) · Total raised: ${total} · Valuation: ${valuation}

For a Company (standalone):

## 🏢 {Company Name}
 
**Overview**
- 🌐 {domain}
- 🏷️ {industry}
- 👥 {employee count} employees
- 📍 HQ: {location}
 
**Funding**: {latest round} — ${amount} ({date}) · Total raised: ${total} · Valuation: ${valuation}
 
**Key Decision Makers**
| Name | Title | Email |
|------|-------|-------|
| {name} | {title} | {email} |
| ... | ... | ... |
 
**Recent News & Icebreakers**
1. {headline — date — source}
2. {headline — date — source}
3. {headline — date — source}

Tier 2: Full Details

Below a clear separator (---), include the complete deep-dive for those who want to dig in:

Person: Full work history, education, all social profiles, all LinkedIn posts, all tweets + engagement, publications, full Linkup research, all email sources + verification breakdown
Company: Full description, all funding rounds with dates/amounts/investors, complete leadership list, products + pricing tiers, competitor analysis, full news results, social presence stats

Present Tier 2 with clear section headers. Include source labels on every data point. Flag all conflicts between APIs.

6. Tips

Parallelize: Run all independent API calls concurrently — person and company enrichment can run simultaneously
Nyne is async: POST returns request_id, poll with GET until status is complete (5-20 seconds)
Conflicts: When APIs disagree, show both values with source labels — never silently pick one
LinkedIn URLs: Dramatically improve match rates for Fiber and Tomba — extract from any source that returns them
All emails matter: Always collect both work AND personal emails — recruiting and hiring use cases need personal emails. Label each as work/personal
Email verification: Verify every email (work + personal) with all 3 verifiers (Hunter, Tomba, Fiber) and take consensus
Person → Company: Person enrichment always cascades — once you identify their employer, run full company enrichment automatically
Linkup deep search: Best for personalization angles — recent talks, interviews, blog posts, news mentions
Sixtyfour enrich-lead is slow: Takes 30-60 seconds (AI web research). Fire it early, don't block on it — continue processing other API results and merge Sixtyfour data when it arrives
Nyne newsfeed for Twitter/X: Pass the Twitter URL to get recent tweets + engagement. Async like other Nyne endpoints
Adaptive: Skip APIs that don't apply (e.g., don't run email-finder if email is already known, don't run funding search for public megacorps)
Tomba linkedin: If you have a LinkedIn URL but no email, Tomba's LinkedIn finder is very effective
Company from email: Brand.dev's retrieve-by-email endpoint handles domain extraction automatically

What's included

✉️ Work: {email} ({verification status})

✉️ Personal: {email} ({verification status})

📱 {phone}

🔗 LinkedIn: {url}

𝕏 Twitter: {url}

Video Production Harness

Full video production sequence with script review, actual ingredient choices, controlled generation, editing, evidence-based quality review, polish, captions and delivery. A host binding supplies project storage, authentic approvals, provider access and billing.

Render Street Interview

Build a vox-pop street interview video ad. An interviewer with a handheld mic asks passers-by one question about the brand's product, they give blunt wrong guesses, one gives the real answer, and the cut lands on a branded end card. Generates the takes through the GooseWorks fal proxy (Seedance 2.0 with native voice), then grades, re-cuts, captions and gates them locally. Use for the street-interview format.

Write Video Ad Script

Write the words of a short-form video ad (voiceover, dialogue, chat bubbles, on-screen lines) the way performance creative teams do instead of from a blank page. Builds the script from the buyers' own words, the beat sheet of an ad that already works and three deliberately different angles, filters them with a rule check and a second non-Claude model, and takes the strongest into the review with the other two as one-line swaps. Use it in every video ad run before any paid step, and whenever the user asks to write, rewrite or improve a video ad script or says a script sounds generic or AI-written.