India9 min read

Campus + Lateral Mix: Contact Lookup Across Two India Hiring Motions

Campus + lateral mix: contact lookup across two India hiring motions – shared sheets, found-only credits, and honest empties for campus drives and lateral desks.

India hiring desks often run two motions in one week: campus drives (freshers, batches, alumni lists) and lateral hiring (experienced profiles, niche stacks). Both need contacts. Both break when tools invent emails or tax every seat. One soft-mesh lookup contract should serve both – with honest empties and shared prepaid credits.

Invenitor is Connecting people; a lookup API, not a sales cloud. Profile URL in; contacts out when we have them. Soft mesh coverage varies; we do not publish hit-rate percentages. India frame: India Boutique IT Staffing. Agency sheets: Agency Desk Playbook. Screening: Screening Calls Faster. Partner benches: Partner Bench Sharing.

Two motions, one lookup job

MotionTypical inputsLookup risk
CampusBatch sheets, alumni LinkedIn, referral URLsPressure to "complete" every row
LateralNiche GitHub/LinkedIn shortlistsPressure to invent phones for WhatsApp

Campus drives tempt desks to fill empties so the sheet looks done for a client. Lateral desks tempt invented mobiles so night WhatsApp can start. Both are honesty failures – Empty Means Not Found, One Primary Contact, Never Invented, WhatsApp-First Recruiters.

Shared sheet columns that work for both

  1. Person LinkedIn or GitHub URL.
  2. Found email / found phone / empty flag.
  3. Motion tag: campus | lateral.
  4. Owner desk and next action.
  5. Never a "guessed contact" column.

Freelance cadence cousin: Freelance Recruiter Workflow. Contract desks: Contract Recruiters in India. Night batch: Night-Shift Freelance Recruiters. Hub: LinkedIn or GitHub Profile URL → Contact Lookup API. GitHub spoke: GitHub Profile URL Contact Lookup.

Credits across campus spikes and lateral sprints

Campus weeks spike volume; lateral weeks spike selectivity. Prepaid packs fit both better than quiet seats – Seat Subscriptions vs Pay-Per-Lookup Credits, 25 to 1,000 Credits, Modeling Cost per Placed Candidate. Live tiles: /pricing. Commercial rail: INR Credit Packs, Razorpay, UPI, Cards, Wallets, UPI to API Key.

Billing pillar: Credits, Empty Results, and Timeouts. Primer: What Are API Credits. Definition: What Is Pay-Per-Lookup Pricing?.

Soft mesh honesty for campus coordinators

Tell campus coordinators up front: some alumni URLs return empty. Soft mesh means when we have them. Do not invent @college.edu patterns to pad the sheet. Trust: Trust Checklist. Honesty marketing: When We Have Them.

Agents and shared benches

If campus ops and lateral recruiters share an agent, keep one MCP contract – /mcp.md, MCP for Recruiting Agents, Building a Recruiting Copilot, Agent-Readable Docs. Keys: Rate Limits and Keys. Docs: /docs.

What should you do next?

Tag this week's sheet campus vs lateral. Run five free finds via /docs. Leave empties empty. Size a pack on /pricing from found history across both motions.

Procurement one-liner

We use one soft-mesh contact lookup pool for campus and lateral India hiring – found-only credits, empty means not found, no invented fills for either motion.

Campus week vs lateral week ledger

Campus: many URLs, more empties expected – do not invent. Lateral: fewer URLs, higher placement value per found contact. Soft mesh both ways. Honesty: Empty Means Not Found. Billing: Credits, Empty Results, and Timeouts. Primer: What Are API Credits. Pay-per-lookup: What Is Pay-Per-Lookup Pricing?. Trust: Trust Checklist. Hub: LinkedIn or GitHub Profile URL → Contact Lookup API. GitHub: GitHub Profile URL Contact Lookup. Packs: 25 to 1,000 Credits. Commercial: INR Credit Packs, Razorpay, UPI, Cards, Wallets. Margins: Modeling Cost per Placed Candidate. Desks: Partner Bench Sharing, Agency Desk Playbook, Screening Calls Faster, Contract Recruiters in India, Freelance Recruiter Workflow, Night-Shift Freelance Recruiters, WhatsApp-First Recruiters. Marketing: When We Have Them. Onboarding: From 5 Free Lookups to First Paid Pack. Agents: /mcp.md, Building a Recruiting Copilot. /docs · /pricing.

Coordinator script

Some alumni URLs return empty. That is soft mesh – not a broken API. Leave empty; ask for referral instead of inventing mail.

Questions

Can one lookup API serve campus and lateral hiring?

Yes. Both need profile URL → contact fields when found. Keep one empty semantics and one credit pool.

Why do campus sheets invent contacts?

Client pressure to show a complete batch. Invented fills break trust – leave empties empty.

How should credits be sized across both motions?

Sample real URLs from each motion, count found outcomes, then choose an INR pack – not a seat suite.

Is WhatsApp OK after campus finds?

Only after a found contact. Lookup is not a dialer – see WhatsApp-First Recruiters.

Do we publish campus hit-rate percentages?

No. Soft mesh coverage varies; we do not publish hit-rate percentages.

Where do India desks start?

/docs for REST, /pricing for INR packs, India boutique and agency desk playbook posts for SOP.

Can partner agencies share the pool?

Yes – partner bench sharing with logged found outcomes by desk.

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Look up a contact

Sign in, buy a pack, copy the key once. REST on docs. Agents read mcp.md.

Campus + Lateral Mix: Contact Lookup Across Two India Hiring Motions – Invenitor