Does each job include company details?

Yes. A company object with size, stage, tags and the active-hiring flag sits inside every job.

Do I pay for lookups that come back empty?

No. You are charged per result, so a request that finds nothing costs nothing. Testing this against a messy list is free to get wrong.

What does a request cost?

1 point per returned record, which is $1 per 1,000, and only records that come back are charged. Points come out of your monthly plan allowance.

Startup & Funding Data

Wellfound Jobs API and MCP — Startup Jobs by Role and Location

Send a role slug and a location slug, and get the matching Wellfound jobs back as a list. Each record has the job title, pay range, locations, remote type, years of experience, posted date, the description and the hiring company's name, size, stage, tags and active-hiring flag.

Run it in the app Read the API docs

You send: a role slug and a location slug (for example software-engineer and san-francisco), plus a max_items cap
You get back: for each job, title, pay, locations, remote type, experience range, posted date, description and the hiring company's size, stage and tags
Coverage: Wellfound records with a public page.
Price: 1 point per returned record — $1 per 1,000; Billed per record actually returned, capped by max_items. A request that returns nothing costs nothing.

Comparison

Ways to get this data

Three approaches teams use today, and where each one runs into trouble.

Approach	What it takes	Cost	Trade-off
Wellfound directly	Type the query into Wellfound and read the results	Free, and slow	Fine for one record, useless across a list, and the layout differs on every platform
Building a scraper	Write it, host it, and repair it when Wellfound changes its pages	Engineering time	A maintenance commitment for something that isn't your product
NeuralVerge	One request, the same shape as every other source in the catalog	$1 per 1,000, misses not billed	Returns what Wellfound publishes at request time. Other platforms are separate sources with the same request format

Response

What you get back

Every field in the example response below.

Field	Type	Description
`session_id`	string	Id of this run, for tracing.
`kind`	string	Source type of the response, here wellfound_jobs_search.
`max_items`	number	The cap you sent on returned records.
`start_page`	number	The page the run started from.
`partial`	boolean	True if the run stopped before it finished.
`human`	string	Readable summary of the run.
`machine.total_items`	number	Number of records returned in this response.
`machine.first_item`	object	Copy of the first record in items, for quick access.
`machine.items`	array	The returned records, one object each.
`machine.total_found`	number \| null	Total matches reported by the platform, or null when it does not report one.
`machine.page_count`	number	Number of result pages read.
`machine.blocked`	boolean	Whether the platform refused the request.
`total_points`	number	Points charged for the run.
`role`	string	The role slug you sent.
`location`	string	The location slug you sent.
`machine.items[].id`	string	Job id.
`machine.items[].name`	string	Job name, same as the title.
`machine.items[].url`	string	Link to the job.
`machine.items[].title`	string	Job title.
`machine.items[].role`	string	Role category.
`machine.items[].job_type`	string	Employment type, for example full-time.
`machine.items[].compensation`	string	Pay range as written on the listing.
`machine.items[].locations`	array	Job locations.
`machine.items[].remote`	boolean	Whether the job is remote.
`machine.items[].remote_kind`	string	Remote setup, for example ONSITE.
`machine.items[].years_experience_min`	number \| null	Minimum years of experience.
`machine.items[].years_experience_max`	number \| null	Maximum years of experience.
`machine.items[].posted_at`	string	Posting date, YYYY-MM-DD.
`machine.items[].description`	string	Job description in Markdown.
`machine.items[].company`	object	Hiring company: id, name, slug, url, tagline, logo_url, company_size, stage, tags and actively_hiring.

Response

Example response

A real response, as returned.

{
  "session_id": "11111111-1111-1111-1111-111111111111",
  "kind": "wellfound_jobs_search",
  "role": "software-engineer",
  "location": "san-francisco",
  "max_items": 2,
  "start_page": 1,
  "partial": false,
  "human": "# Wellfound — jobs search\n\n- **Query:** role=software-engineer, location=san-francisco\n- **Results:** 2 of 761 found\n- **Proxy traffic:** 701.7 KB",
  "machine": {
    "total_items": 2,
    "first_item": {
      "id": "4787364",
      "name": "Software Engineer",
      "url": "https://wellfound.com/jobs/4787364-software-engineer",
      "title": "Software Engineer",
      "role": "Software Engineer",
      "job_type": "full-time",
      "compensation": "$170k – $250k",
      "locations": [
        "New York City",
        "San Francisco"
      ],
      "remote": false,
      "remote_kind": "ONSITE",
      "years_experience_min": 4,
      "years_experience_max": null,
      "posted_at": "2026-09-30",
      "description": "**About Chalk**\n\nChalk is building the data platform that powers the future of machine learning applications. We tear down complexity, latency, and scale barriers that have traditionally constrained M",
      "company": {
        "id": "8887646",
        "name": "Chalk",
        "slug": "chalk-ai",
        "url": "https://wellfound.com/company/chalk-ai",
        "tagline": "Building machine learning infrastructure to answer the world’s hardest questions",
        "logo_url": "https://photos.wellfound.com/startups/i/8887646-f35c5c1d88595ca051fddbec6e486edd-medium_jpg.jpg?buster=1652299292",
        "company_size": "51-200",
        "stage": "Early Stage",
        "tags": [
          "B2B"
        ],
        "actively_hiring": true
      }
    },
    "items": [
      {
        "id": "4787364",
        "name": "Software Engineer",
        "url": "https://wellfound.com/jobs/4787364-software-engineer",
        "title": "Software Engineer",
        "role": "Software Engineer",
        "job_type": "full-time",
        "compensation": "$170k – $250k",
        "locations": [
          "New York City",
          "San Francisco"
        ],
        "remote": false,
        "remote_kind": "ONSITE",
        "years_experience_min": 4,
        "years_experience_max": null,
        "posted_at": "2026-09-30",
        "description": "**About Chalk**\n\nChalk is building the data platform that powers the future of machine learning applications. We tear down complexity, latency, and scale barriers that have traditionally constrained M",
        "company": {
          "id": "8887646",
          "name": "Chalk",
          "slug": "chalk-ai",
          "url": "https://wellfound.com/company/chalk-ai",
          "tagline": "Building machine learning infrastructure to answer the world’s hardest questions",
          "logo_url": "https://photos.wellfound.com/startups/i/8887646-f35c5c1d88595ca051fddbec6e486edd-medium_jpg.jpg?buster=1652299292",
          "company_size": "51-200",
          "stage": "Early Stage",
          "tags": [
            "B2B"
          ],
          "actively_hiring": true
        }
      },
      {
        "id": "4787352",
        "name": "Forward Deployed Engineer",
        "url": "https://wellfound.com/jobs/4787352-forward-deployed-engineer",
        "title": "Forward Deployed Engineer",
        "role": "Software Engineer",
        "job_type": "full-time",
        "compensation": "$170k – $250k",
        "locations": [
          "New York City",
          "San Francisco"
        ],
        "remote": false,
        "remote_kind": "ONSITE",
        "years_experience_min": 4,
        "years_experience_max": null,
        "posted_at": "2026-09-30",
        "description": "**About Chalk**\n\nChalk is building the data platform that powers the future of machine learning applications. We tear down complexity, latency, and scale barriers that have traditionally constrained M",
        "company": {
          "id": "8887646",
          "name": "Chalk",
          "slug": "chalk-ai",
          "url": "https://wellfound.com/company/chalk-ai",
          "tagline": "Building machine learning infrastructure to answer the world’s hardest questions",
          "logo_url": "https://photos.wellfound.com/startups/i/8887646-f35c5c1d88595ca051fddbec6e486edd-medium_jpg.jpg?buster=1652299292",
          "company_size": "51-200",
          "stage": "Early Stage",
          "tags": [
            "B2B"
          ],
          "actively_hiring": true
        }
      }
    ],
    "total_found": 761,
    "page_count": 1,
    "blocked": false,
    "proxy_traffic_bytes": 718550
  },
  "total_points": 2
}

Integration

How to run it

The same lookup works from the app, the API, or as a tool an agent can call mid-task.

Results come back in the same envelope as every other source: a session id, a readable summary, the structured result and the points charged. max_items caps how many records are returned and billed.

curl -X POST https://api.neuralverge.ai/functions/v1/run-wellfound-jobs-search \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"role":"software-engineer","location":"san-francisco","max_items":2}'

Use cases

What teams use it for

Where this field shows up in an actual workflow.

Hiring-demand tracking

Count openings by role and city to see where startups are hiring.

Pay benchmarks

Collect pay ranges for one role across locations.

Account signals

Find companies hiring for a role your product serves, with size and stage attached.

Recruiting leads

Build a list of startups with open roles in a niche for staffing outreach.

Coverage & limits

Coverage, freshness and limits

What this source covers, how fresh it is, and where it stops.

Coverage

Wellfound records with a public page.

Freshness

Read at request time, so the answer reflects the platform as it stands when you ask.

Handling

This source returns information Wellfound shows publicly. Every response carries the session id you can trace.

What it will not do

—Pay is free text from the listing and can be missing.
—The role and location arguments are slugs; use Wellfound locations to find valid location slugs.
—Descriptions are long text; set max_items with that in mind.

FAQ

Questions, answered

From Wellfound locations, which lists each place with the slug to use here.

Related sources

Wellfound locations

Location slugs for the location filter.

Wellfound company

Full company record with funding rounds and founders.

All startup & funding data

Startup directories, funding databases, launch platforms and investor data.

Try wellfound job search on your own data

One request format across every source in the catalog.

Get started