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Spread and comp any company in minutes

Standardized financials and a peer comp set where every number links to the filing — kill the copy-paste tax.

The problem

The copy-paste tax is real: hours per name re-keying XBRL into a model, then doing it again for every peer. It caps how many names you can cover and bakes in transcription errors.

How Valuein does it

  1. 1

    Spread the name instantly

    get_company_fundamentals returns the three statements mapped to canonical concepts; get_financial_ratios adds the margin, returns, and leverage panel — no manual tagging.

  2. 2

    Build the comp set

    get_peer_comparables assembles a sector peer group with side-by-side ratios; compare_periods adds the time series so you see the trajectory, not a snapshot.

  3. 3

    Ship it

    generate_comps_xlsx exports the comp table as a formatted workbook; every figure carries its filing lineage so it survives review.

In practice

Ask your AI agent

You ask

Build me a comp table for this name vs its 5 closest peers — revenue growth, gross/operating margin, ROIC, EV/EBIT — last 3 years.

Valuein returns

6-company comp table with the requested rows, 3-year trend, and the name's percentile rank in each. Exportable to Excel; every cell links to its filing.

The outcome

You cover 3× more names with zero transcription error — and hand the IC a comp set that's auditable to the filing.

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get_peer_comparablesget_company_fundamentalsget_financial_ratioscompare_periodsgenerate_comps_xlsx

Frequently asked

How are peers chosen?

get_peer_comparables builds a sector-relative group from SIC/industry classification; you can also pass your own peer set for a hand-picked comp.

Is the comp set point-in-time?

Yes — you can build the comp as-of any historical date so a retrospective comp reflects only what was filed by then.

Related use cases

Do this with your own data — free.

The free S&P 500 tier needs no credit card. One token works across MCP, the Python SDK, and the Workspace.