sheet 00 / 08—briefing / daily outreach

running · mon–fri · 09:00

the daily outreach agent

Tell Claude
once.
Wake up to
warm replies.

Every morning, Claude finds 10 newly-hired VPs of Engineering at Series-B fintechs, drafts a 2-line warm intro that names their last role, and queues the invites through your own LinkedIn — ready for you to approve with coffee.

run this for my signups read the recipe

invites / day: 10
accept rate: 70%
hands-on: 5 min

user is principal ● empty results never charged ● public data only ● gdpr + ccpa aligned

instrumentlinkfetch.autopilotlive

promptsaved · 2026-04-18·runs daily · 09:00

“Every morning, find 10 new VPs of Engineering hired at Series-B fintechs. Draft a 2-line warm intro that names their last role — then queue the connection requests through my LinkedIn.”

complete·search·enrich·company·compose·queue·on_accept

100%

run log200thu · 07:13

mcp · linkfetch + claude

[07:03]linkfetch.people.search10 matches · 0.6s[07:03]linkfetch.profiles.get ×1010/10 enriched · 50 credits[07:03]linkfetch.companies.get ×1010/10 · 80 credits[07:04]claude.compose intros10 drafts · 3.8s[07:04]linkfetch.outreach.queue10 queued · user is principal[07:12]on_accept → follow_up7 accepted · 5 drafting…

prospects10today's run

accepts770% · on track

credits130≈ $0.65 · daily

ll-0077 · daily-outreachrecipe v1 ●

also runs well fornew head of data · saasvp sales · b2b devtoolspm hires · ai-nativefounding eng · yc w26rev-leadership · seed+recent leavers · stripe

starter briefs · §00b

Tell Claude something real.
Six starters, ready to ship.

Every brief below is a real prompt our users run. Copy it into Claude, swap the account, the role, or the cadence — ship it before lunch.

01/hiring signals

one-shot

ask claude

“Who are the 5 most recent hires at Vercel, and what were they doing right before?”

linkfetch.profiles›linkfetch.companies

~20 creditscopy brief →

02/churn watch

weekly

ask claude

“Who left Stripe in the last 60 days, and where did they land? Flag anyone who joined a direct competitor.”

linkfetch.profiles.search

~60 credits / weekcopy brief →

03/daily outreach

daily · 09:00

ask claude

“Every morning, find 10 new VP Engineering hires at Series-B fintechs and queue a 2-line warm intro for each.”

linkfetch.people›linkfetch.profiles›linkfetch.companies›claude.compose›linkfetch.outreach.queue

~130 credits / daycopy brief →

04/competitive intel

daily

ask claude

“Track headcount at Anthropic, OpenAI, and Mistral. Ping me on ≥5% swings or notable new hires.”

linkfetch.companies.timeseries›linkfetch.profiles

~8 credits / daycopy brief →

05/company brief

on demand

ask claude

“For linear.app: size, last funding, headcount trend, and 3 notable new hires this quarter.”

linkfetch.companies›linkfetch.profiles

~40 creditscopy brief →

06/icp enrichment

per signup

ask claude

“For every new trial user: role, seniority, company size, funding stage. Rank by ICP fit and score.”

linkfetch.profiles›linkfetch.companies

~13 credits / usercopy brief →

Every brief runs inside Claude Desktop, Cursor, or anything that speaks MCP. No custom glue — just the LinkFetch Skill and your API key.

install mcp server ↗all 40+ recipes

sheet 01 / 08—linkfetch / linkedin api

rev.2026.04/public data only

the linkedin api for ai agents

One call,
the whole
LinkedIngraph.

Profiles, companies, and jobs returned as typed JSON. Native to Claude, Cursor, and anything that speaks MCP — with your session, your consent, and provenance on every row.

get api key — $5 free read the docs

t₀ → call: 90s
p50: 184ms
fake accts: 0

no card ● empty results never charged ● public data only ● gdpr + ccpa aligned

instrumentlinkfetch.scanlive

url

https://

complete·parse·enrich·verify

100%

response200184ms

GET /v1/profiles

{  "profile": {    "name": "Ada Lovelace",    "headline": "Mathematician · First programmer",    "location": "London, UK",    "current": { "company": "Analytical Engine", "title": "Research Lead" },    "skills": ["numerical analysis", "symbolic logic", "mechanical computing"]  },  "provenance": {    "source": "extension",    "fetched_at": "2026-04-23T14:02:11Z",    "freshness_days": 6  }}

credits5of 5 budget

freshness6dfetched just now

sourceextensionprovenance ok

ll-0042 · scan-profileschema v1 ●

speaks natively toclaude desktopcursorcontinue.devzedwindsurfaidervscode+mcp

endpoints · §02

Three data surfaces.
One compliance story.

Every endpoint returns typed JSON with a provenance stamp and a predictable credit cost. Public data only, aligned with GDPR and CCPA — your users stay the principal on their own session.

01/profiles

5credits

focused

The person, the whole résumé.

Name, headline, roles, education, skills — fetched through the user's own LinkedIn session via the LinkFetch Chrome extension. No fake accounts, no session impersonation; the user is the principal.

GET /v1/profilesdocs →

06/sdk

—credits

curl · sh03

python · py02

typescript · tstyped

import { LinkFetch } from "@linkfetch/sdk";

const ll = new LinkFetch({ apiKey });
const { data, meta } = await
  ll.profiles.get({ url });

ts · py · shone sdk · three runtimes

Typed everywhere — TS, Python, curl.

One SDK for TypeScript, one for Python, and a curl that just works. Autocomplete-ready types, consistent error envelopes, and a request id on every response so support tickets write themselves.

npm · pip · curldocs →

02/companies

8credits

headcount · 28q

+24% ▲

Size, funding, headcount trend.

Resolve slug → structured company record. Ships with last-funding and employee-growth signals when available.

GET /v1/companies/:slugdocs →

03/jobs

3credits

new roles · 12 · last 24h

SF · NYC · LON

Fresh listings with first-seen.

Jobs by keyword, company, seniority — first-seen timestamps make this the signal, not just the data.

GET /v1/jobsdocs →

04/provenance

—credits

verified

fetched 2026-04-23

source ● extension

meta.provenance

Every row has a source stamp.

source, fetched_at, freshness_days on every response. Auditable, explainable, agent-safe.

meta.provenancedocs →

05/compliance

—credits

public data only

Aligned with GDPR and CCPA.

Public data only, no fake accounts, no session impersonation. Your users stay the principal on their own LinkedIn session, with a clear legal story for EU and California workloads.

GDPR · CCPAdocs →

§03 · claude-native

Ask Claude “who works at Stripe?”
— get a real answer.

Install the Skill or point Claude Desktop at our Remote MCP server. LinkFetch shows up as native tools; your Claude conversations get LinkedIn context the moment they need it.

install mcp server ↗install skill

claude_desktop_config.jsoncopy ⧉

{
  "mcpServers": {
    "linkfetch": {
      "url": "https://mcp.linkfetch.io",
      "transport": "http",
      "headers": { "Authorization": "Bearer sk_live_…" }
    }
  }
}

Claudelinkfetch mcp · connected

online

you · 09:41

Who are the 5 most recent hires at Vercel?

tool call

linkfetch.search_people { company: "vercel", sort: "joined_desc", n: 5 }

1.2s · 15 credits · 3 profiles

claude · 09:41

Here are the 5 most recent hires I can see:

01Priya Shah— Staff Engineer · mar 2026
02Elena Ruiz— PMM, DX · mar 2026
03Tomás Vieira— Backend, Fluid compute
04Jordan Lee— Eng Manager, edge
05Aida Khan— SDR, EMEA

stream idle

§04 · closing

Ship LinkedIn context
before the week ends.

$5 in credit, no card, public data only, provenance on every row. Wire it into Claude, Cursor, or your own agent stack — and keep shipping on Friday.

get api key — $5 free ↗read the docs

no card ● empty results never charged ● public data only ● gdpr + ccpa aligned

§05 · quickstart

Three steps from zero
to production.

Install, paste a key, ship a profile lookup. No waiting room, no annual commit, no sales call — if you have a terminal and 90 seconds you have an API.

live sandbox/$5 free credit on sign-up

01/install

step 01

# TypeScript
npm i @linkfetch/sdk

# Python
pip install linkfetch

One package, either runtime.

Typed SDKs for TypeScript and Python. Public, MIT-licensed, versioned with the API.

npm · pypi · 2026.04docs →

02/authenticate

step 02

const ll = new LinkFetch({
  apiKey: process.env.LL_KEY,
});

Bring a key. Nothing else.

Generate a key from the dashboard. Scoped, revocable, rate-limited per tier. No fake accounts, no session tokens stored.

sk_live_… · 1 rotation clickdocs →

03/call

step 03

const { data, meta } = await ll.profiles.get({
  url: "linkedin.com/in/jane-doe",
});
// data.headline, meta.provenance

Typed JSON, provenance stamped.

Every response ships with source, fetched_at, and freshness_days. Empty rows are never charged.

t₀ → call · ~90 secondsdocs →

median install: 38s
first successful call: 90s
types across api: 100%
empty results charged: 0

§06 · how we compare

Built for 2026 —
not 2018.

The market opening when Proxycurl shut down in July 2025 made one thing clear: the old compliance story doesn't hold. LinkFetch is the drop-in replacement with a legal story that survives.

capability	LinkFetch	Coresignal	Bright Data	Proxycurl(shut down Jul '25)
01Time to first call	90 sec	Days	Hours	—
02Free tier	$5 credit	Trial	no	—
03Annual commit required	no	yes	yes	—
04Claude / MCP native	yes	no	no	—
05Private profiles via user's own extension	yes	no	no	no
06GDPR + CCPA aligned	yes	Partial	Partial	no
07Provenance on every row	yes	no	no	no

ref. ll-0044 · observations current as of rev.2026.04 · public docs + pricing pages

§07 · ledger

Pay for what you use.
Empty rows are free.

Credits with a transparent per-query table. No annual commit, no minimums, no surprise seat fees — and if a call returns nothing, we don't charge.

freetier

$0$5 credit · no card

Kick the tires. Enough for a full weekend prototype.

▸~500 profile lookups
▸1 req/sec
▸Community Discord
▸All endpoints

Get API key →

most picked

startertier

$29/month

Solo builders shipping a side project to a handful of users.

▸~6,000 lookups at avg mix
▸10 req/sec
▸GDPR + CCPA aligned
▸Email support

Start Starter →

protier

$99/month

Funded startups with production agent workloads.

▸~25,000 lookups
▸50 req/sec
▸Webhooks
▸GDPR + CCPA aligned

Start Pro →

scaletier

Customlet's talk

For teams with dedicated volume and compliance asks.

▸Custom throughput
▸Private MCP cluster
▸DPA, SSO, invoice

Talk to us →

credits per requestrev.2026.04

request	endpoint	credits
01profile lookup	GET /v1/profiles	5
02company lookup	GET /v1/companies/:slug	8
03jobs search	GET /v1/jobs	3
04empty result	404 / 0 rows	0

§08 · datasets

Or just buy the snapshot.

Prefer bulk over API calls? LinkFetch ships curated snapshots of public LinkedIn data — refreshed every 24 hours, delivered as CSV, JSON, or Parquet. Same provenance, same compliance, no credits.

01/jobs · linkedin

fresh · last 24h

new roles · worldwide

12,420

+6.2% vs 7d avg/refreshed 07:03 utc

engineering3,840

sales · gtm2,105

product1,260

buy jobs dataset · from $49 ↗see sample

csv · json · parquet

public data only ● no fake accounts ● gdpr + ccpa aligned ● dpa on request for scale snapshots

Tell Claudeonce.Wake up towarm replies.

Tell Claude something real.Six starters, ready to ship.

One call,the wholeLinkedIngraph.

Three data surfaces.One compliance story.

The person, the whole résumé.

Typed everywhere — TS, Python, curl.

Size, funding, headcount trend.

Fresh listings with first-seen.

Every row has a source stamp.

Aligned with GDPR and CCPA.

Ask Claude “who works at Stripe?”— get a real answer.

Ship LinkedIn contextbefore the week ends.

Three steps from zeroto production.

One package, either runtime.

Bring a key. Nothing else.

Typed JSON, provenance stamped.

Built for 2026 —not 2018.

Pay for what you use.Empty rows are free.

Or just buy the snapshot.

Tell Claude
once.
Wake up to
warm replies.

Tell Claude something real.
Six starters, ready to ship.

One call,
the whole
LinkedIngraph.

Three data surfaces.
One compliance story.

Ask Claude “who works at Stripe?”
— get a real answer.

Ship LinkedIn context
before the week ends.

Three steps from zero
to production.

Built for 2026 —
not 2018.

Pay for what you use.
Empty rows are free.