Multi-Step Workflows

50 workflows that chain 2-8 API calls to answer complex questions. Each uses exact curl commands tested against production.

Top 10 Workflows

1. “Who are my colleagues?” (2 steps)

$ # Step 1: Get your company ID
$ GET /api/profile/me → positions[0].companyId = "42124361"
$ 
$ # Step 2: Search by company ID
$ GET /api/search/people?company=42124361

2. “Find the CEO of my advisor’s company” (4 steps)

$ GET /api/profile/me → companyId
$ GET /api/search/people?company={id} → find advisor → get vanity
$ GET /api/profile/{advisor-vanity} → their companyId
$ POST /api/salesnav/search → CURRENT_COMPANY + SENIORITY(CXO)

3. “Find ex-colleagues who moved to France” (2 steps)

$ GET /api/profile/me → ALL positions[].companyId (up to 10)
$ POST /api/salesnav/search → PAST_COMPANY(all IDs) + REGION(France)

4. “Who left the company most recently?” (3 steps)

$ POST /api/salesnav/search → PAST_COMPANY(your company)
$ GET /api/profile/{each} → check positions[1] (penultimate = just left)
$ Sort by position index → lowest = most recent departure

5. Hiring Velocity (2 parallel queries)

$ # Joiners: CURRENT_COMPANY + RECENTLY_CHANGED_JOBS
$ # Leavers: PAST_COMPANY + RECENTLY_CHANGED_JOBS
$ Compare counts → growing or shrinking?

6. Full Account Research (5 steps)

$ GET /api/salesnav/typeahead?type=COMPANY_WITH_LIST&query=Stripe → companyId
$ POST /api/salesnav/search → COMPANY + SENIORITY(Director+) → org chart
$ POST /api/salesnav/search → COMPANY + RELATIONSHIP(F,S) → warm paths
$ POST /api/salesnav/search → PAST_COMPANY + RELATIONSHIP(F) → insider intel
$ POST /api/salesnav/search → COMPANY + RECENTLY_CHANGED + SENIOR → timing

7. 3-Path Contact Strategy (3 parallel queries)

$ POST /api/salesnav/search → COMPANY + SCHOOL(your schools) → champion
$ POST /api/salesnav/search → COMPANY + TITLE(CTO, VP) → decision maker
$ POST /api/salesnav/search → COMPANY + RELATIONSHIP(F) → internal coach

8. Deal Scoring (4 queries per account)

$ Query 1: COMPANY + RELATIONSHIP=F               → count × 3 points
$ Query 2: COMPANY + RELATIONSHIP=S + SENIOR       → count × 2 points
$ Query 3: PAST_COMPANY + RELATIONSHIP=F           → count × 2 points
$ Query 4: COMPANY + RECENTLY_CHANGED + SENIOR     → count × 1 point
$ Total = warmth score. Compare across accounts.

9. Send a Message (3 steps)

$ GET /api/search/people?company={id} → find person → profileUrl
$ Confirm with user
$ POST /api/send → { profileUrl, message }

10. Full ABE Workflow (8 steps)

$ 1. INDUSTRY + TITLE + REGION → TAM list
$ 2. For each: deal scoring (4 queries)
$ 3. COMPANY + SENIORITY(Director+) → org chart
$ 4. COMPANY + RELATIONSHIP(F,S) → warm paths
$ 5. COMPANY + SCHOOL/PAST_COMPANY → champion
$ 6. COMPANY + RECENTLY_CHANGED → timing signal
$ 7. COMPANY + POSTED_ON_LINKEDIN → active prospects
$ 8. POST /api/send → personalized outreach
$ ~20 API calls per target account.

All 50 Workflows

Category	Flows	Steps
Profile Analysis	MW1 (career duration), MW4 (shortest job), MW26 (CRM enrichment)	1-2
Person Discovery	MW3 (company size), MW5 (connection path), MW6 (message sender)	2-3
Alumni/School	MW2 (alumni at company), MW7 (same-year grads), MW23 (unicorn founders)	2
Career Paths	MW9 (destinations), MW14 (who replaced me), MW18 (poaching map)	2-3
Relationship	MW10 (warm intro), MW15 (investors), MW16 (VC referrals)	2-3
ABM/Sales	MW11 (TAM→enrich), MW20 (3-path), MW22 (engagement signals), MW37 (10 accounts)	3-5
Competitive	MW8 (leadership compare), MW21 (ML talent), MW30 (skills gap), MW36 (landscape)	2-4
Recruiting	MW19 (succession), MW40 (post-layoff), MW47 (revenue team)	2-3
Investor Relations	MW25 (co-investors), MW43 (angels), MW45 (distribution list)	2-3
Full Workflows	MW39 (meeting prep), MW44 (new champion), MW50 (full ABE)	5-8

Chaining Tips

Extract IDs from each step — use numeric company IDs, not names
Run independent queries in parallel — deal scoring has 4 independent queries
Profile endpoint is the bridge — connects SalesNav results to LinkedIn profiles to position data
maxResults=25 — enough for aggregation, fast for chaining
Position index = recency — positions[0] is current, positions[1] is previous