nvNeuralVerge
Startup & Funding Data

WeFunder Company Search API and MCP — Campaigns, Raise Progress, Investors, Valuation

Send filters, or none, and get WeFunder campaigns back as a list: name, tagline, location, raise progress, investor counts, valuation terms, founder and a link. Filter by status (fundraising or funded), instrument (equity, SAFE, revenue share or convertible debt), industries and highlights; sort by trending; and cap results with max_items (up to 250).

You send
optional filters (status, instrument, industries, highlights, sort) and how many results to return
You get back
WeFunder campaigns with name, tagline, raise progress, investors, valuation terms, founder and link
Coverage
WeFunder 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.

ApproachWhat it takesCostTrade-off
WeFunder directlyType the query into WeFunder and read the resultsFree, and slowFine for one record, useless across a list, and the layout differs on every platform
Building a scraperWrite it, host it, and repair it when WeFunder changes its pagesEngineering timeA maintenance commitment for something that isn't your product
NeuralVergeOne request, the same shape as every other source in the catalog$1 per 1,000, misses not billedReturns what WeFunder 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.

FieldTypeDescription
session_idstringId of this run, for tracing.
kindstringSource type of the response.
max_itemsnumberThe cap you sent on returned records.
start_pagenumberPage the run started from.
partialbooleanWhether the run stopped before reaching everything that matched.
humanstringReadable summary of the run.
total_pointsnumberPoints charged for the run: 1 per returned record.
machine.total_itemsnumberNumber of records returned in this response.
machine.total_foundnumberTotal matches the platform reports for the request (5159 in the sample), which can be larger than what you asked to return.
machine.page_countnumberPages read for the run.
machine.first_itemobjectThe first returned record, repeated from items[]. Fields below are described on items[].
machine.blockedbooleanWhether the platform refused the request.
machine.proxy_traffic_bytesnumberSize of the data transferred for the run, in bytes.
machine.items[].idstringCompany slug.
machine.items[].namestringCompany name.
machine.items[].urlstringLink to the company page.
machine.items[].company_idnumberNumeric company id.
machine.items[].aliasstringThe company slug.
machine.items[].legal_namestringLegal name of the company.
machine.items[].taglinestringOne-line tagline.
machine.items[].descriptionnullEmpty in the sample.
machine.items[].factstringA headline fact the company lists.
machine.items[].imagestringLogo image link.
machine.items[].cover_imagenullEmpty in the sample.
machine.items[].card_imagenullEmpty in the sample.
machine.items[].video_urlnullEmpty in the sample.
machine.items[].regionnullEmpty in the sample.
machine.items[].citystringCity as the platform lists it.
machine.items[].statestringState or region as listed.
machine.items[].countrystringCountry field as listed; in the sample it holds a place name rather than a country.
machine.items[].geo_latnumberLatitude.
machine.items[].geo_lngnumberLongitude.
machine.items[].currencystringCurrency of the raise.
machine.items[].security_typenullEmpty in the sample.
machine.items[].statusnullEmpty in the sample.
machine.items[].status_tiernumberStatus tier value the platform returns.
machine.items[].labelnullEmpty in the sample.
machine.items[].is_fundbooleanWhether the listing is a fund.
machine.items[].follower_countnumberFollowers of the company.
machine.items[].pre_money_valuationnullEmpty in the sample; the valuation when the campaign states one.
machine.items[].early_bird_valuationnullEmpty in the sample.
machine.items[].valuation_termsnullEmpty in the sample.
machine.items[].total_raised_this_campaignnumberAmount raised in the current campaign.
machine.items[].total_investor_count_this_campaignnumberInvestors in the current campaign.
machine.items[].funding_amountnumberFunding amount for the campaign.
machine.items[].percent_fundednumberPercent of the goal funded.
machine.items[].past_fundingnumberAmount raised in earlier campaigns.
machine.items[].annual_revenuenullEmpty in the sample.
machine.items[].cash_in_banknullEmpty in the sample.
machine.items[].investor_countnumberInvestor count.
machine.items[].age_in_monthsnumberAge of the company in months.
machine.items[].funding_amount_past_weeknumberFunding raised in the past week.
machine.items[].funding_amount_past_monthnumberFunding raised in the past month.
machine.items[].quality_scorenumberQuality score the platform returns.
machine.items[].fundraise_hoststringEntity hosting the raise.
machine.items[].created_atstringWhen the listing was created.
machine.items[].funding_started_atnullEmpty in the sample.
machine.items[].funding_closed_atstringWhen funding closed, as the platform gives it.
machine.items[].funding_closing_atnullEmpty in the sample.
machine.items[].founderobjectFounder as listed: name, title, bio and image.
machine.items[].industries[]arrayIndustry tags; empty in the sample.
machine.items[].tags[]arrayHighlight tags such as technology and infrastructure.
Response

Example response

A real response, as returned.

{
  "session_id": "11111111-1111-1111-1111-111111111111",
  "kind": "wefunder_companies_search",
  "max_items": 2,
  "start_page": 1,
  "partial": false,
  "human": "# WeFunder — companies\n\n- **Query:** all\n- **Results:** 2 of 5159 found\n- **Proxy traffic:** 108.9 KB",
  "machine": {
    "total_items": 2,
    "first_item": {
      "id": "choicetrade",
      "name": "ChoiceTrade Holdings",
      "url": "https://wefunder.com/choicetrade",
      "company_id": 29841,
      "alias": "choicetrade",
      "legal_name": "ChoiceTrade Holdings, Inc.",
      "tagline": "Implementing new technologies in the digital financial universe",
      "description": null,
      "fact": "First online broker to have private startup and crypto, secondary market for shareholders of startup companies, and Robo Trading technologies on one platform.",
      "image": "https://uploads.wefunder.com/uploads/company/logo/29841/xxl_cropped_Logo.jpg",
      "cover_image": null,
      "card_image": null,
      "video_url": null,
      "region": null,
      "city": "San Juan",
      "state": "San Juan",
      "country": "San Juan",
      "geo_lat": 18.465299,
      "geo_lng": -66.116666,
      "currency": "USD",
      "security_type": null,
      "status": null,
      "status_tier": 2,
      "label": null,
      "is_fund": false,
      "follower_count": 315,
      "pre_money_valuation": null,
      "early_bird_valuation": null,
      "valuation_terms": null,
      "total_raised_this_campaign": 0,
      "total_investor_count_this_campaign": 0,
      "funding_amount": 0,
      "percent_funded": 0,
      "past_funding": 414545,
      "annual_revenue": null,
      "cash_in_bank": null,
      "investor_count": 0,
      "age_in_months": 125,
      "funding_amount_past_week": 0,
      "funding_amount_past_month": 0,
      "quality_score": 14.93303674182471,
      "fundraise_host": "Wefunder Portal LLC",
      "created_at": "2018-09-06T16:31:53.000Z",
      "funding_started_at": null,
      "funding_closed_at": "2106-02-07T06:28:16.000Z",
      "funding_closing_at": null,
      "founder": {
        "name": "Neville Golvala",
        "title": "CEO",
        "bio": "20+ years in Fintech. Managing Dir., Nat'l Discount Brokers. Grew from $100M to $1B during tenure.",
        "image": "https://uploads.wefunder.com/uploads/company_role/custom_photo/324850/square_cropped_ct-icon-RGB-LG.jpg?1688061032"
      },
      "industries": [],
      "tags": [
        "technology",
        "infrastructure"
      ]
    },
    "items": [
      {
        "id": "choicetrade",
        "name": "ChoiceTrade Holdings",
        "url": "https://wefunder.com/choicetrade",
        "company_id": 29841,
        "alias": "choicetrade",
        "legal_name": "ChoiceTrade Holdings, Inc.",
        "tagline": "Implementing new technologies in the digital financial universe",
        "description": null,
        "fact": "First online broker to have private startup and crypto, secondary market for shareholders of startup companies, and Robo Trading technologies on one platform.",
        "image": "https://uploads.wefunder.com/uploads/company/logo/29841/xxl_cropped_Logo.jpg",
        "cover_image": null,
        "card_image": null,
        "video_url": null,
        "region": null,
        "city": "San Juan",
        "state": "San Juan",
        "country": "San Juan",
        "geo_lat": 18.465299,
        "geo_lng": -66.116666,
        "currency": "USD",
        "security_type": null,
        "status": null,
        "status_tier": 2,
        "label": null,
        "is_fund": false,
        "follower_count": 315,
        "pre_money_valuation": null,
        "early_bird_valuation": null,
        "valuation_terms": null,
        "total_raised_this_campaign": 0,
        "total_investor_count_this_campaign": 0,
        "funding_amount": 0,
        "percent_funded": 0,
        "past_funding": 414545,
        "annual_revenue": null,
        "cash_in_bank": null,
        "investor_count": 0,
        "age_in_months": 125,
        "funding_amount_past_week": 0,
        "funding_amount_past_month": 0,
        "quality_score": 14.93303674182471,
        "fundraise_host": "Wefunder Portal LLC",
        "created_at": "2018-09-06T16:31:53.000Z",
        "funding_started_at": null,
        "funding_closed_at": "2106-02-07T06:28:16.000Z",
        "funding_closing_at": null,
        "founder": {
          "name": "Neville Golvala",
          "title": "CEO",
          "bio": "20+ years in Fintech. Managing Dir., Nat'l Discount Brokers. Grew from $100M to $1B during tenure.",
          "image": "https://uploads.wefunder.com/uploads/company_role/custom_photo/324850/square_cropped_ct-icon-RGB-LG.jpg?1688061032"
        },
        "industries": [],
        "tags": [
          "technology",
          "infrastructure"
        ]
      },
      {
        "id": "airthium",
        "name": "Airthium (YC S17)",
        "url": "https://wefunder.com/airthium",
        "company_id": 64712,
        "alias": "airthium",
        "legal_name": "Airthium Inc.",
        "tagline": "Every product you own was made with heat. We’re making that heat electric",
        "description": null,
        "fact": "$6.5M+ raised from Y Combinator, DCVC, Daphni VC, Polytechnique Ventures & 2000+ retail investors",
        "image": "https://uploads.wefunder.com/uploads/company/logo/64712/xxl_avatar.jpg",
        "cover_image": null,
        "card_image": null,
        "video_url": "https://dcd73ta2suabk.cloudfront.net/12hkbbinokybxzlq4mblpzyojbrj",
        "region": null,
        "city": "Bee Cave",
        "state": "TX",
        "country": "United States",
        "geo_lat": 30.3089,
        "geo_lng": -97.94018,
        "currency": "USD",
        "security_type": "equity",
        "status": "fundraising",
        "status_tier": 0,
        "label": null,
        "is_fund": false,
        "follower_count": 2763,
        "pre_money_valuation": "$25M",
        "early_bird_valuation": "$21M",
        "valuation_terms": "post-money valuation cap",
        "total_raised_this_campaign": 465641,
        "total_investor_count_this_campaign": 379,
        "funding_amount": 465641,
        "percent_funded": 45,
        "past_funding": 9652477,
        "annual_revenue": 1519556,
        "cash_in_bank": 677715,
        "investor_count": 2760,
        "age_in_months": 114,
        "funding_amount_past_week": 13700,
        "funding_amount_past_month": 42492,
        "quality_score": 14.73784815894411,
        "fundraise_host": "Wefunder Portal LLC",
        "created_at": "2020-07-17T12:19:39.000Z",
        "funding_started_at": "2026-06-10T21:36:01.000Z",
        "funding_closed_at": "2026-11-21T04:59:59.000Z",
        "funding_closing_at": null,
        "founder": {
          "name": "Andrei Klochko",
          "title": "Co-Founder, CEO & CSO",
          "bio": "Creator of the engine at the core of Airthium’s technology. PhD in plasma physics. Mechanical engineering from École Polytechnique. Designed the proprietary compression cycle that no competitor has re",
          "image": "https://uploads.wefunder.com/uploads/company_role/custom_photo/3663735/square_avatar.jpg?1772480699"
        },
        "industries": [
          "hardware",
          "clean_tech"
        ],
        "tags": [
          "technology",
          "hardware"
        ]
      }
    ],
    "total_found": 5159,
    "page_count": 1,
    "blocked": false,
    "proxy_traffic_bytes": 111557
  },
  "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-wefunder-companies-search \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"max_items":2}'
Use cases

What teams use it for

Where this field shows up in an actual workflow.

Deal sourcing

List open campaigns by instrument or industry tag and screen them on raise progress and valuation terms.

Crowdfunding market research

Track which companies are raising, how much they have raised and how many investors joined.

Investor and competitor watch

Find campaigns in a sector and compare founders, locations and funding to date.

Lead lists

Collect company names, links and founders from campaigns in a segment.

Coverage & limits

Coverage, freshness and limits

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

Coverage

WeFunder 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 WeFunder shows publicly. Every response carries the session id you can trace.

What it will not do
  • —Many fields are null in the sample, including valuation terms and status; the company source returns the detailed current round.
  • —Location and date fields are returned as the platform lists them and are not normalised.
  • —Listings and figures come from the platform's own pages; nothing here is investment advice or a rating of any campaign.
FAQ

Questions, answered

status (fundraising or funded), security (equity, safe, revenue_share or debt), industries and highlights as comma-separated values, and sort (trending). All are optional.

Related

Related sources

Try wefunder company search on your own data

One request format across every source in the catalog.

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