How many reviews can I get?

Set max_items, up to 250. You are billed for the records actually returned.

Is the rating always present?

No. Some comments have no star rating, and rating is null for them.

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

There's An AI For That Tool Reviews API and MCP — User Reviews, Ratings and Votes

Send a tool slug such as gling, or the link to the tool page, and get its reviews and comments as a list: the text, the star rating when one was given, the date, the release it refers to, up and down votes and the author. Set max_items to cap how many come back.

Run it in the app Read the API docs

You send: a tool slug such as gling, or the link to the tool page, plus an optional max_items
You get back: reviews and comments of one tool: text, star rating, date, release, votes and author
Coverage: There's An AI For That 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
There's An AI For That directly	Open the page on There's An AI For That 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 There's An AI For That 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 There's An AI For That 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.
`tool`	string	The tool you sent.
`max_items`	number	Maximum records requested.
`start_page`	number	Page the run started from.
`partial`	boolean	True when the run stopped before reading every page it was asked for.
`human`	string	Readable summary of the run.
`total_points`	number	Points charged for the run.
`machine.total_items`	number	Number of records returned in items.
`machine.first_item`	object	Copy of the first entry of items, for quick access.
`machine.items[]`	array	The returned records; the keys of each one are listed below.
`machine.total_found`	number\|null	Total matches the platform reports when it reports one; null otherwise.
`machine.page_count`	number	Platform pages read for the run.
`machine.blocked`	boolean	Whether the platform refused the request.
`machine.proxy_traffic_bytes`	number	Size of the data transferred for the run, in bytes.
`machine.items[].id`	string	Comment id.
`machine.items[].name`	string	Display name of the commenter.
`machine.items[].url`	string	Link to the comment.
`machine.items[].text`	string	Comment text.
`machine.items[].rating`	number\|null	Star rating given; null when the comment has none.
`machine.items[].date`	string	Date (YYYY-MM-DD).
`machine.items[].date_text`	string	Date as shown.
`machine.items[].version`	string	Release the comment refers to.
`machine.items[].upvotes`	number	Up votes.
`machine.items[].downvotes`	number	Down votes.
`machine.items[].author_username`	string	Author's platform username.
`machine.items[].author_url`	string	Link to the author's profile.
`machine.items[].author_karma`	number	Author's karma score.
`machine.items[].parent_id`	string\|null	Id of the comment this one replies to; null for top-level comments.

Response

Example response

A real response, as returned.

{
  "session_id": "11111111-1111-1111-1111-111111111111",
  "kind": "theresanaiforthat_tools_reviews",
  "tool": "gling",
  "max_items": 2,
  "start_page": 1,
  "partial": false,
  "human": "# There's An AI For That — tool reviews\n\n- **Tool:** gling\n- **Results:** 2 of 2 found\n- **Proxy traffic:** 1.77 MB",
  "machine": {
    "total_items": 2,
    "first_item": {
      "id": "353000",
      "name": "Dmitriy Grepan",
      "url": "https://theresanaiforthat.com/ai/gling/comment/353000/",
      "text": "I bought it. But its pretty slow and laggy",
      "rating": 4,
      "date": "2025-01-20",
      "date_text": "Jan 20, 2025",
      "version": "initial release",
      "upvotes": 1,
      "downvotes": 6,
      "author_username": "dmitriygrepan",
      "author_url": "https://theresanaiforthat.com/@dmitriygrepan/",
      "author_karma": 8,
      "parent_id": null
    },
    "items": [
      {
        "id": "353000",
        "name": "Dmitriy Grepan",
        "url": "https://theresanaiforthat.com/ai/gling/comment/353000/",
        "text": "I bought it. But its pretty slow and laggy",
        "rating": 4,
        "date": "2025-01-20",
        "date_text": "Jan 20, 2025",
        "version": "initial release",
        "upvotes": 1,
        "downvotes": 6,
        "author_username": "dmitriygrepan",
        "author_url": "https://theresanaiforthat.com/@dmitriygrepan/",
        "author_karma": 8,
        "parent_id": null
      },
      {
        "id": "1978",
        "name": "Rhyben Rinto",
        "url": "https://theresanaiforthat.com/ai/gling/comment/1978/",
        "text": "Selamat siang saya akan membagikan tutorial gimana caranya mengedit video di aplikasi capcut",
        "rating": null,
        "date": "2023-07-23",
        "date_text": "Jul 23, 2023",
        "version": "initial release",
        "upvotes": 0,
        "downvotes": 3,
        "author_username": "rhybenrinto",
        "author_url": "https://theresanaiforthat.com/@rhybenrinto/",
        "author_karma": 7,
        "parent_id": null
      }
    ],
    "total_found": 2,
    "page_count": 1,
    "blocked": false,
    "proxy_traffic_bytes": 1859942
  },
  "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-theresanaiforthat-tools-reviews \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"tool":"gling","max_items":2}'

Use cases

What teams use it for

Where this field shows up in an actual workflow.

Product feedback analysis

Read what users say about a tool and how the community voted on each comment.

Competitor monitoring

Track complaints and praise for rival tools by release.

Sentiment scoring

Feed comment text and ratings into your own analysis.

Review summaries

Condense recent feedback on a tool into a short report.

Coverage & limits

Coverage, freshness and limits

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

Coverage

There's An AI For That 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 There's An AI For That shows publicly. Every response carries the session id you can trace.

What it will not do

—Rating is null for comments posted without stars, so average only the ones that have it.
—Comment text is written in whatever language the commenter used; the sample includes one in Indonesian.
—Each review carries a platform username and profile link of the person who wrote it. Treat them as personal data and use them only for a purpose you can justify.
—total_found is the platform's count where it reports one.

FAQ

Questions, answered

Comments are returned with a parent_id; it is null for top-level comments and holds the parent's id for replies.

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There's An AI For That tool search

Keyword or task search of AI tools with name, task, price, rating, views, saves and link.

All startup & funding data

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

Try there's an ai for that tool reviews on your own data

One request format across every source in the catalog.

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