Verified business email
linkedin_to_business_email
Independent guide to MoltSets
What is MoltSets, and how do you use its data for LinkedIn outreach?
MoltSets is a contact-data API. It returns verified business and personal emails, carrier-verified mobile phones, company data, SHA256 audience keys, and the LinkedIn profile behind an email. It finds the contact; it does not run the outreach. Zevari does that part: a full outbound department for LinkedIn and email whose six specialists research the person, score the fit, draft in your voice, and follow up, driven from your own agent over MCP or REST. Sends wait for your approval by default.
Independent guide. Zevari is not affiliated with MoltSets or LinkedIn.
Agent pipeline
Identity data to LinkedIn action
MoltSets
Resolve
email_to_linkedin, search_people, linkedin_to_mobile_phone
Zevari
Enrich
profile, company, posts, signals, ICP score
Zevari
Stage
connection, message, comment, campaign, inbox
Human
Approve
review payload, approve once, execute inside limits
191
MCP tools
Live tool reference
109
REST endpoints
Public API equivalents
36
Sensitive gates
Writes and risky actions reviewed
Why this page exists
Contact data is not the workflow. It is the input.
A GTM agent can collect verified emails, mobile phones, company records, hashes, and LinkedIn URLs. The hard part comes next: who is worth contacting, what did they just do on LinkedIn, how should the first touch happen, what limit applies to the sender, and which exact write is approved?
Verified personal email
linkedin_to_personal_email
Carrier-verified mobile
linkedin_to_mobile_phone
SHA256 audience keys
linkedin_to_sha256
Company from IP or search
ip_to_company, search_companies
LinkedIn URL from email
email_to_linkedin
Four workflows
How GTM engineers can combine MoltSets and Zevari
Use MoltSets where it is strongest: verified identity and contact data. Use Zevari for the LinkedIn side: live enrichment, campaign construction, approval gates, reply triage, and sending inside enforced limits.
Email to LinkedIn to live account research
Input
MoltSets resolves a business email or personal email to a LinkedIn profile.
Zevari
Zevari researches the person and company on LinkedIn, scores the fit against your ICP, saves the target, and stages the next action.
Output
A verified identity becomes a reviewed LinkedIn workflow, not another row in a sheet.
People search to campaign list
Input
MoltSets finds GTM targets by role, seniority, industry, country, company, or free-text query.
Zevari
Zevari enriches each LinkedIn profile with live context, dedupes against your workspace, and builds a warm-by-default sequence.
Output
Contact discovery becomes a staged LinkedIn campaign without handing the list to a browser bot.
Verified mobile as a fallback signal
Input
MoltSets returns a carrier-verified mobile phone for a known LinkedIn profile.
Zevari
Zevari still starts on LinkedIn: view, react, comment, connect, then classify replies and only route phone follow-up where your compliance rules allow it.
Output
Phone data supports the GTM motion without turning the first touch into a cold interruption.
Anonymous company visit to account motion
Input
MoltSets maps an IP address to a company or discovers matching accounts from company search.
Zevari
Zevari finds relevant people, recent posts, buying signals, and mutual context on LinkedIn, then stages account-based outreach for approval.
Output
Website intent becomes a specific person, reason, and next step.
Developer shape
Build the enrichment job, then let Zevari hold the LinkedIn state.
Your code can call MoltSets for identity resolution, normalize the target, and call Zevari over REST. Your agent can do the same over MCP. Either way, outbound writes do not fire unattended. Zevari stages sensitive actions, exposes the approval payload, and executes only after approval.
REST
109 public API endpoints
MCP
191 agent-callable tools
Gate
36 sensitive tool contracts
// Example shape: MoltSets identity -> Zevari LinkedIn workflow
const profile = await moltsets.post("/email_to_linkedin", {
email: "buyer@target-account.com"
});
await zevari.post("/v1/targets/save", {
targets: [{
linkedin_url: profile.results.linkedin_url,
work_email: "buyer@target-account.com"
}],
source: "moltsets_email_to_linkedin"
});
await zevari.post("/v1/agents/icpScore", {
identifier: profile.results.linkedin_url,
product_offering: "Your offer, in one line"
});
await zevari.post("/v1/confirmations/requestAction", {
action_type: "linkedin_send_connection_request",
payload: {
linkedin_url: profile.results.linkedin_url,
note: "Grounded connection note goes here"
}
});
// Writes still stop at Zevari's approval gate before execution.Safety layer
The part your data API does not solve
Verified data makes an agent more capable. Zevari keeps that capability inside a controlled LinkedIn operating model.
Every outbound LinkedIn write is staged for human approval before it sends.
Session-based connection, no browser cookies, no password handoff, no extension.
Server-side weekly ceilings, working hours, pacing, duplicate checks, and burst caps.
LinkedIn profile, company, post, campaign, inbox, content, and safety tools share one workspace state.
Public REST API and MCP reference are generated from the same live capability contract.
FAQ
Questions about MoltSets
What is MoltSets?
MoltSets is a contact-data API. From a LinkedIn profile it returns verified business and personal emails, carrier-verified mobile phones, and SHA256 audience keys; from an email it resolves the LinkedIn profile; and it maps IP addresses and company searches to companies.
What does MoltSets do, and who is it for?
It resolves identity and contact data for people who build GTM pipelines: find people by role, seniority, industry, country, company, or free-text query, then attach emails, phones, and LinkedIn URLs. It hands you the contact. It does not research, write, send, or follow up on LinkedIn.
What data does MoltSets provide?
Verified business email, verified personal email, carrier-verified mobile phone, SHA256 audience keys, company from IP or search, and LinkedIn URL from email. The endpoint names are listed on this page.
Is MoltSets legit, and is its contact data trustworthy?
Zevari is independent, so we do not audit MoltSets or publish accuracy figures for it. How it verifies emails and phone numbers, its coverage, and its pricing are in MoltSets' own documentation; check them there before you rely on the data. What Zevari adds is a second check on LinkedIn: each person is researched on their live profile and scored against your ICP before anyone is contacted.
Is MoltSets worth it, and how does it compare with AI-Ark?
That depends on your data needs, and we do not make claims about either vendor. Compare coverage, verification, and price in their own documentation. Whichever data source you pick, the LinkedIn side is the same: Zevari takes the profile URL and runs the outreach with your approval on every send.
Is Zevari affiliated with MoltSets?
No. Zevari is independent and not affiliated with MoltSets or LinkedIn. This page explains a practical workflow for teams that use MoltSets data for LinkedIn outreach.
Why pair MoltSets with Zevari?
MoltSets finds the contact. Zevari is a full outbound department for LinkedIn and email: six specialists (Prospecting, Signals, ICP Scoring, Voice Writer, Follow-up, Reply Qualifier) research the person, score the fit, draft in your voice, follow up, and sort the replies into qualified conversations. Sends wait for your approval by default.
Can my agent use Zevari without MCP?
Yes. Use the REST API from workers, cron jobs, CRMs, or enrichment jobs, or MCP when the client is Claude, Codex, ChatGPT, or another MCP client. Both drive the same six specialists under the same approvals.
Does Zevari guarantee my LinkedIn account cannot be banned?
No responsible LinkedIn tool should promise that. Every send waits for your approval by default, the connection is session-based with no browser cookies, and weekly connection ceilings (150 on Free* and Premium, 200 on Sales Navigator), daily action caps, working hours, and duplicate checks are enforced in code. The weekly figure covers connection requests sent without a note: LinkedIn caps requests that carry a note at 5 a month on a free account, and gives Premium and Sales Navigator a far larger allowance, so Premium or Sales Navigator is the practical choice for real outbound (see /safety).
MoltSets finds the contact. Your AI SDR team starts the conversation.
Resolve the person, let the six specialists research, score, and draft, approve the exact payload, and count what comes back as qualified conversations, not raw replies. $87 a month, or $497 a year (save 52%).