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Use cases

When to use MoneyPeel — and when not to

A revenue-signal library is useful for a narrow set of questions and actively misleading for another set. This page lists both, so you can tell which one you are asking.

  • Benchmark snapshot · 2026-10-30
  • 851 products
  • 435 report MRR
  • The aggregates here are a monthly rebuild of the counted population; live product cards, the board and the MCP carry a newer date of their own. Both clocks are on Method.

The dataset behind this site records one kind of fact: an amount a product published through its payment provider, on a date, with a statement of what kind of money it is. Everything below follows from that single sentence — what it can settle, and what it cannot.

1. Use it when the question is about money moving

Six questions worth bringing here. Each one is answerable from dated provider records — and each one is usually answered badly elsewhere, by treating a payment total as company revenue.

1Which SaaS and AI products actually take money?

Filter the library by MRR band, 30-day amount, market or business model. Every row carries the date its revenue figure belongs to, so "has revenue" always means "had this much, as of this date".

2What could I build that someone already pays for?

Research validated demand: read the MRR bands, how each product prices, and how it acquires customers in its report. The dataset shows that payment already happens; it does not promise a copy will work.

3How does this competitor actually make money?

compare_companies puts two to five products side by side and marks each cell comparable, partial, different_basis or not_available — so a subscription figure is never silently ranked against a marketplace GMV figure. get_report adds the teardown: positioning, pricing, acquisition channels.

4Who is growing, and is the growth real?

search_growth_signals returns the base amount, the absolute change, the percentage, the number of data points and the kind of move (sustained_growth, spike_driven, period_over_period, newly_observed). A percentage without its base is never returned, and a row that misses the gate is reported as ineligible rather than ranked low.

5What kind of money is this number?

Every row states its economic basis: subscription charges, usage charges, service billings, platform fee revenue, marketplace GMV, gross payment volume, merchant sales, one-time sales or unknown. That is the difference between "the company earns this" and "this much money moved".

6Can an agent research this automatically, every week?

The MCP endpoint exposes six tools with structured filters, dated evidence and quality flags: search_reports, list_reports, get_report (the only metered tool), get_usage, search_growth_signals and compare_companies. Search, listing, growth and comparison never spend a read.

The one-sentence version

If the question needs dated evidence that money moved — and how the product prices and acquires customers — this is the right source. If the question needs costs, retention, market size or an audit, it is the wrong one.

2. Do not use it for these five

Each refusal names where the question belongs instead. A data product that never says "no" is telling you it will answer anything, which is not the same as answering correctly.

1Which company is most profitable?

Profit, margin, cash flow and net income need costs. This dataset records revenue signals, and revenue is not profit — no row can answer it.

Instead: Audited accounts, SEC filings or the company’s own published financials.

2How big is this market (TAM)?

The sample is products that choose to publish revenue, not a census. Scaling it into a market size would invent the part nobody reported.

Instead: Industry research, analyst reports, or a bottom-up model with its assumptions written down.

3Which company has the best retention or lowest churn?

There is no cohort, retention or churn data here. A high MRR is not evidence of retention; it is one number at one date.

Instead: Product analytics, or a vendor’s own disclosed retention figures — treated as a claim, not a measurement.

4What is this public company’s real profit?

Provider-reported revenue signals are not audited financial statements, and cannot be reconciled to them.

Instead: Official earnings releases and audited statements.

5Should I invest in this company, or is this idea guaranteed to work?

This is research input, not investment advice, and no dataset can promise an outcome. Copying a business model that works for someone else is not a guarantee.

Instead: Your own diligence, and treat every figure here as a dated observation.

3. How to quote a figure from here

The rules below are not style preferences. Every one of them exists because a plausible-looking sentence was wrong in a way the reader could not detect.

  1. 01

    Name the metric, not a synonym: MRR is a run rate, a 30-day figure is a trailing amount. Neither is "revenue" in the accounting sense.

  2. 02

    Always carry the date: revenueAsOf for the figure, dataThrough for the dataset, reportContentAsOf for the report prose.

  3. 03

    Name the economic basis (subscription charges, usage, GMV, …). "This much money moved" and "the company earns this" are different statements.

  4. 04

    Keep the quality flag: needs_review and quoteCaveat exist because the 30-day amount and the MRR disagreed. Do not drop the caveat to make the sentence shorter.

  5. 05

    Say "sample", not "market": the population is products that publish revenue.

4. Questions about this page

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More businesses worth researching

Browse the revenue library, or see what a single report covers.

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