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Your AI asks one question and gets back just those figures, each with its source and read time.

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Your AI asks

Which products bring in most of Apple’s revenue?

  • segment revenue

Segment revenue AAPL

inmoney-dataSample

Fiscal year
FY2025
iPhone revenue
$209.6B
Total revenue
$416.2B
iPhone share of revenue Computed
50.4%
12 research areas, 557 data items →

Ask in Claude or ChatGPT, wherever you are.

Answers in about a third less time.

Question: Did insiders sell AMD this month?

With inmoney-data

Answer · 15.5 s

Web search only

Answer · 22.8 s

All steps

With inmoney-data

  1. 1.6 s Find the tool
  2. 3.1 s Call get_insider_transactions (October)
  3. 4.3 s Back: 0 filings
  4. 6.1 s Call again (August to October)
  5. 7.3 s Back with a summary: 31 sales in September
  6. 7.3 s Data in 7.3 s
  7. 15.5 s Answer

Web search only

  1. 0.9 s Search the web
  2. 1.8 s Open a page
  3. 5.9 s Page read
  4. 9.5 s Search results back
  5. 11.4 s Open a second page
  6. 11.9 s Open a third page
  7. 15.1 s Page read
  8. 15.7 s Page read
  9. 15.7 s Data in 15.7 s
  10. 22.8 s Answer
Replay of question 6 as measured · 17 Oct 2026 · Claude Sonnet. Median over 10 questions: ≈16 s vs ≈24 s

  • In your own AI

    Add it in Claude or ChatGPT →

    Did insiders sell AMD this month?

    • get_insider_transactionsinmoney-data

    Yes. Three insiders sold 41,200 shares this month, the largest sale 25,000; none bought.inmoney-data Why they sold, the data can’t say.

    Preview · sample figures

    Your AI sends

    get_insider_transactions

    { "symbol": "AMD", "from": "2026-10-01" }

    inmoney-data returns

    Three records, with the time they were read

    {
  "transactions": [
    { "date": "2026-10-03", "shares": 6000, "acquisition_or_disposal": "D" },
    { "date": "2026-10-08", "shares": 25000, "acquisition_or_disposal": "D" },
    { "date": "2026-10-13", "shares": 10200, "acquisition_or_disposal": "D" }
  ],
  "read_at": "2026-10-16T10:12:04Z"
}

  • Less to read

    One read returns only the figures the question needs.

  • Dated

    Source and read time come back with every figure.

  • Unstructured data

    Filing text and earnings calls, searchable in original words.

  • Fixed definitions

    Each data item has one fixed name and definition.

  • Computed

    Ratios and ranks come back computed, with their inputs.

Where we do better than AI alone.

  • In Desk · internal testing

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    Pick a lens before you read.

    Lens · Long-term

    Own the shares for months to years.

    I expect
    Data-centre sales keep growing
    Void if
    Two quarters of falling margin
    Preview · sample plan

    One record per topic, checked on time.

    AMD · record

    as of Oct 14

    Concluded
    Insider sales were set in advance
    Open
    Did gross margin hold this quarter?
    Check
    After the report · reads margin
    Preview · sample record

  • 4

    lenses in Desk today

  • 0

    model calls on a scheduled check

  • —

    when a figure can’t be read

How this compares, row by row.

Claude rated each cell five times; the median is shown. Where inmoney is lower, it stays lower.

Chat AI aloneFree finance sitesPaid data subscriptionsinmoney
Coverage14 kinds of market data
Breadthten fixed questions
Depthhistory behind the answers
Freshnessdelay of the figures
Ready to usecomes back computed
Checkablesource and time on each figure
AI-readyyour AI calls it directly
Easy to start
Low costper month, for these questions

Rated by Claude on 16 October 2026. How it was rated

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1,000

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Calls this month

212 used of 1,000 this month

As of 10:57 ET · sample figures

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Now

  • DataTwelve research areas
  • Ways inFree accounts; Desk invitations; Claude and ChatGPT by URL
  • AutomationTopic records and follow-up checks

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  • DataOrder-book depth; more computed datasets
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Updated 2026-10-17

Questions

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Can I trust derived data?

Every derived value names its inputs, window and source, so you can check it line by line. See the data →

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No. inmoney reads market data; it places no orders.

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