Install the Up2Data skill

Teach Claude Code to integrate the Up2Data API. Installs once, then loads automatically whenever you ask it about Up2Data.

Run this in your terminal

bash

mkdir -p ~/.claude/skills/up2data-api && curl -fsSL https://docs.up2data.ai/v1/skill.md -o ~/.claude/skills/up2data-api/SKILL.md

Restart Claude CodeSo it picks up the new skill.
Try it"Enrich these LinkedIn profiles with Up2Data and send results to my webhook"

Requires Claude Code. macOS, Linux, or WSL.

Prefer to read it first? View the skill file

Company

Live firmographics for a LinkedIn company page, as returned by company enrich and batch company items.

Returned by

POST /companies/enrichBatchJobResult.results[].data (company items)

#Fields

Field	Type	Notes
`url`	`string`
`name`	`string`
`linkedin_id`	`string`	Numeric LinkedIn organization ID. Usable as a people-search filters.company_ids value.
`website`	`string`	As written on the LinkedIn page, e.g. https://news.microsoft.com/. Not normalized to a root domain.
`phone`	`string`	As listed in the page About section, with " ext. <n>" when LinkedIn has an extension. Absent when not listed.
`description`	`string`
`tagline`	`string`	The one-liner under the company name. Absent when not set.
`industry`	`string`
`industry_v2`	`string`	Current LinkedIn industry name, e.g. Software Development. industry keeps the legacy name, e.g. Computer Software.
`company_type`	`string`	LinkedIn company type, e.g. Public Company, Privately Held, Non Profit. Only with with_company_type.
`logo_url`	`string`	400x400 logo image URL.
`cover_image_url`	`string`	Page cover image URL.
`headcount`	`integer`
`headcount_growth_6m`	`number`	e.g. 0.12 means +12%.
`company_size.min`	`integer`
`company_size.max`	`integer`
`founded`	`integer`
`hq.city`	`string`
`hq.region`	`string`
`hq.country`	`string`	ISO 3166-1 alpha-2 code, e.g. US.
`hq.address`	`string`	Street address line.
`hq.postal_code`	`string`
`hq.latitude`	`number`
`hq.longitude`	`number`
`hq.raw`	`string`	Country, city, region, address and postal code joined with ", ".
`locations[].city`	`string`
`locations[].region`	`string`
`locations[].country`	`string`
`locations[].address`	`string`	Street address line.
`locations[].postal_code`	`string`
`locations[].latitude`	`number`
`locations[].longitude`	`number`
`locations[].is_hq`	`boolean`	Exactly one entry is true when LinkedIn lists a headquarters.
`specialties`	`string[]`
`funding.total_usd`	`integer`
`funding.last_round.type`	`string`
`funding.last_round.amount_usd`	`integer`
`funding.last_round.date`	`string`
`scraped_at`	`string`	ISO 8601 timestamp.
`followers_count`	`integer`	Up2Data extra, returned after scraped_at.

#Sample

json

{
  "url": "https://www.linkedin.com/company/anthropic",
  "linkedin_id": "74126343",
  "name": "Anthropic",
  "website": "https://anthropic.com",
  "description": "AI safety and research company.",
  "tagline": "AI research and products that put safety at the frontier.",
  "industry": "Research Services",
  "industry_v2": "Research Services",
  "company_type": "Privately Held",
  "logo_url": "https://media.licdn.com/dms/image/v2/C560BAQExample/company-logo_400_400/0/anthropic",
  "cover_image_url": "https://media.licdn.com/dms/image/v2/D563DAQExample/image-scale_191_1128/0/anthropic",
  "phone": "+1 415 555 0100",
  "headcount": 2841,
  "headcount_growth_6m": 0.34,
  "company_size": { "min": 1001, "max": 5000 },
  "founded": 2021,
  "hq": {
    "city": "San Francisco",
    "region": "California",
    "country": "US",
    "address": "500 Howard St",
    "postal_code": "94105",
    "latitude": 37.78797,
    "longitude": -122.39653,
    "raw": "US, San Francisco, California, 500 Howard St, 94105"
  },
  "locations": [
    { "city": "San Francisco", "region": "California", "country": "US", "address": "500 Howard St", "postal_code": "94105", "latitude": 37.78797, "longitude": -122.39653, "is_hq": true },
    { "city": "London", "region": "England", "country": "GB", "is_hq": false }
  ],
  "specialties": ["Artificial Intelligence", "AI Safety"],
  "funding": { "total_usd": 14300000000, "last_round": { "type": "Series F", "amount_usd": 3500000000, "date": "2026-03" } },
  "scraped_at": "2026-07-07T14:00:03Z",
  "followers_count": 1204800
}