Can I combine a topic with a keyword?

Not in one request. Use this page for a topic and BetaList startup search for a keyword.

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

BetaList Topic Startups API and MCP — Startups Filed Under a Topic

Send a BetaList topic, either a slug like generative-ai, a category/topic path or a topic link, and get the startups filed under it: name, tagline, logo image and BetaList link for each.

Run it in the app Read the API docs

You send: a BetaList topic slug (such as generative-ai) or topic link, and how many startups you want
You get back: name, tagline, logo image and BetaList link for the startups filed under that topic
Coverage: BetaList 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
BetaList directly	Open the page on BetaList and scroll through the list	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 BetaList 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 BetaList 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.
`topic`	string	The topic as resolved, e.g. topics:generative-ai.
`max_items`	number	The cap you sent on returned records.
`start_page`	number	First page read.
`partial`	boolean	True when the run stopped before reaching max_items.
`human`	string	Readable summary: query, result count and a traffic line.
`machine.total_items`	number	Number of records returned in this response.
`machine.items[]`	array	The returned records, each with the fields listed below.
`machine.first_item`	object	A copy of the first record in items[], for a quick read.
`machine.total_found`	number\|null	Total matches when the platform reports one; null when it does not.
`machine.page_count`	number	Pages read for this response.
`machine.blocked`	boolean	True if the platform refused the read.
`machine.proxy_traffic_bytes`	number	Traffic used by the run, in bytes.
`total_points`	number	Points charged: 1 per returned record.
`machine.first_item.id`	string	Startup slug on BetaList.
`machine.first_item.name`	string	Startup name.
`machine.first_item.url`	string	Link to the startup page on BetaList.
`machine.first_item.alias`	string	Same slug as id.
`machine.first_item.tagline`	string	One-line description.
`machine.first_item.image`	string	Logo image link.

Response

Example response

A real response, as returned.

{
  "session_id": "11111111-1111-1111-1111-111111111111",
  "kind": "betalist_topics_startups",
  "topic": "topics:generative-ai",
  "max_items": 2,
  "start_page": 1,
  "partial": false,
  "human": "# BetaList — topic startups\n\n- **startups:** topics:generative-ai\n- **Results:** 2\n- **Proxy traffic:** 106.2 KB",
  "machine": {
    "total_items": 2,
    "first_item": {
      "id": "image-to-3d",
      "name": "Image to 3D",
      "url": "https://betalist.com/startups/image-to-3d",
      "alias": "image-to-3d",
      "tagline": "Turn a single image into an editable 3D model you can inspect and export",
      "image": "https://resize.imagekit.co/zGkzCAB1gabB2H7EmO9-f7yjJiQX1K_yfBwySbUxqJA/s:40:40/dpr:2/plain/s3://betalist-production/26588fu7gdz4x12buc2uznks2x52"
    },
    "items": [
      {
        "id": "image-to-3d",
        "name": "Image to 3D",
        "url": "https://betalist.com/startups/image-to-3d",
        "alias": "image-to-3d",
        "tagline": "Turn a single image into an editable 3D model you can inspect and export",
        "image": "https://resize.imagekit.co/zGkzCAB1gabB2H7EmO9-f7yjJiQX1K_yfBwySbUxqJA/s:40:40/dpr:2/plain/s3://betalist-production/26588fu7gdz4x12buc2uznks2x52"
      },
      {
        "id": "sparkian",
        "name": "Sparkian",
        "url": "https://betalist.com/startups/sparkian",
        "alias": "sparkian",
        "tagline": "Compare and use 70+ AI models in one collaborative workspace",
        "image": "https://resize.imagekit.co/4P0-9hRk3cAzdQu6UjUtaIaWJbOyFPN9DT9Nx-BcZwM/s:40:40/dpr:2/plain/s3://betalist-production/fx2x1fygcswv3f5q7c5zaigy4d2j"
      }
    ],
    "total_found": null,
    "page_count": 1,
    "blocked": false,
    "proxy_traffic_bytes": 108782
  },
  "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-betalist-topics-startups \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"topic":"generative-ai","max_items":2}'

Use cases

What teams use it for

Where this field shows up in an actual workflow.

Segment landscape

List the startups filed under one topic to map who is active in it.

Prospecting by theme

Build outreach or research lists for a category such as generative AI.

Tracking a topic over time

Re-run a topic on a schedule and compare ids to spot new entries.

Investor sourcing

Skim recent launches in a sector you invest in before opening individual records.

Coverage & limits

Coverage, freshness and limits

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

Coverage

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

What it will not do

—The topic has to exist on BetaList. The docs give a slug, a category/topic path or a topic URL as accepted forms.
—Records carry name, tagline, logo and link only. Use BetaList startup for makers, description and launch date.
—total_found is null in the sample, so the full size of the topic is not reported.

FAQ

Questions, answered

A slug such as generative-ai, a category/topic path, or the link to a BetaList topic page.

Related sources

BetaList startup search

Name, tagline, logo image and BetaList link for each startup matching the keyword.

BetaList startup

Name, tagline, description, makers, topics, launch date, screenshots and similar startups.

BetaList latest startups

The newest BetaList startups, newest first, each with name, tagline, logo image and BetaList link.

All startup & funding data

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

Try betalist topic startups on your own data

One request format across every source in the catalog.

Get started