documents
Generate DCF Workbook (xlsx)
generate_dcf_xlsxPro and above
Render a forward DCF result into a professional Excel workbook (Summary + 5×5 Sensitivity heatmap + Inputs sheet). Native conditional formatting — no chart images needed. Returns a 15-minute presigned R2 download URL. SERVER-TRUST: the DCF is re-derived in-Worker from the supp...
Example Call
example_call.pypython
# Using the Valuein MCP server from Python (via MCP SDK)# Or call directly from Claude / Cursor after setup result = await client.call_tool( "generate_dcf_xlsx", arguments={ "ticker": "EXAMPLE", "dcf_result": {}})print(result)Direct tool call:generate_dcf_xlsx(...)
Inputs
| Parameter | Type | Required | Description |
|---|---|---|---|
ticker | string | required | Stock ticker symbol of the company the DCF workbook is built for, e.g. AAPL. |
company_name | string | optional | Optional — surfaces on the cover row. Falls back to ticker only. |
dcf_result | object | required | Structured DCF result — typically the `result` field returned by `compute_dcf`. |
Output Fields
urlr2_keyfilenamecontent_typesize_bytesexpires_in_secondsexpires_atverificationExample Response
Illustrative
response.jsonjson
{ "url": "https://r2.valuein.biz/signed/fact.parquet?token=...", "r2_key": null, "filename": null, "content_type": null, "size_bytes": null, "expires_in_seconds": null, "expires_at": "2024-03-15", "verification": null}Shape only — field names match the live schema; values are placeholders, not real filings. See MCP server for the structured response shape.
Notes
Available from the Pro plan and above.
Plan Access
Sample (guest)
Not includedBenchmark (token)
Not includedPro
AvailableInstitutional
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