ModelMonkey
AI assistant that builds financial models and fixes formulas inside your Google Sheets and Excel workbooks
ModelMonkey earns its $20/mo Monkey tier if you build models in Sheets or Excel most weeks. The reason to trust it over a generic chatbot is structural, not cosmetic: an approval step before writes are applied, every cell tracked with one-click undo, and a plain-English explanation attached to each formula. Verifier cross-checks AI output on all plans, which matters when the output is a DCF. The constraint is the meter — 50 credits/month stalls fast on full 3-statement builds, so anyone modeling daily should budget for $70/mo Chimp. Analysts who need a free tool, or who want hands-off writes with no review, should look elsewhere.
Verified 5d ago · liveness 69/100 · cite: rightaichoice.com/tools/modelmonkey
- Financial analysts building 3-statement models and DCFs
- FP&A teams maintaining multi-tab monthly reporting models
- Data analysts needing fast trend analysis and SEC data pulls in-sheet
- Startup founders building investor-ready projections and burn dashboards
- Occasional users who only need a free formula helper a few times a month
- Teams that want fully hands-off writes with no review step
- Anyone needing a public API or pipeline-level custom automation
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Skip ModelMonkey if you need a public API or scripted pipeline automation, or if you want AI writing to your model with no review step — the approval gate is the product, not a setting you can switch off.
Running full 3-statement models burns credits fast, so the $20/mo Monkey tier's 50 credits/month can be exhausted well before the month ends.
ModelMonkey fits solo analysts and small finance teams at $20/mo Monkey (50 credits), with $70/mo Chimp and $200/mo Gorilla for heavier modeling volume, plus one-time credit packs for occasional users. Every tier ships the same feature list, so the tiers price capacity rather than capability. It undercuts analyst-hours math on a single rebuilt template; teams already standardized on a spreadsheet platform with native AI, or on general chat assistants used ad hoc, may find the credit meter hard
In short
ModelMonkey — AI assistant that builds financial models and fixes formulas inside your Google Sheets and Excel workbooks. Best for Financial analysts building 3-statement models and DCFs, FP&A teams maintaining multi-tab monthly reporting models, Data analysts needing fast trend analysis and SEC data pulls in-sheet. Plans from $20/mo.
What's new in ModelMonkey
Checked 5 days agoAcross the latest 5 updates: 5 news mentions.
COUNTIF ARRAYFORMULA month-range fix
ModelMonkey explains why COUNTIF ARRAYFORMULA breaks on month ranges and which formulas FP&A teams should use for multi-tab monthly reporting.
Gmail CRM pipeline data into Google Sheets
A walkthrough for building a reconciled Gmail CRM pipeline feed in Google Sheets for board packs and finance forecasts.
ModelMonkey blog compares Google Sheets AI options for FP&A
A comparison of Google Sheets AI options for formulas, variance analysis, and forecasting, including ModelMonkey itself.
Google Sheets 'Help me organize' review for FP&A
Where Google Sheets' 'Help me organize' works for finance and where it breaks versus formulas and sheet-aware AI.
Startup burn rate dashboard for investors
A build guide for an investor-ready burn rate dashboard with runway scenarios, burn multiple, and hiring plans.
Viability Score
How well maintained and how widely used is ModelMonkey? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Builds 3-statement financial models from natural-language prompts
- Creates DCF valuation models for companies and SaaS businesses
- Autonomous Agent executes multi-step spreadsheet tasks
- Approval system: review proposed changes before they are applied
- Cell-level change tracking with one-click undo per action
- Plain-English explanation of each formula and why it was written
- Verifier cross-checks AI output for accuracy on all plans
- Reads ranges, formulas, and tabs in workbook context
- Internet search brings external data into the spreadsheet
- SEC EDGAR data access (10-K, 10-Q, 8-K, proxy statements)
- SQL queries against connected external data sources
- PDF analysis with OCR to extract data from documents
- Generates charts and visualizations in the spreadsheet
- Industry color conventions for assumption and formula cells
- Custom instructions to enforce firm-specific modeling conventions
About ModelMonkey
ModelMonkey runs inside Google Sheets and Microsoft Excel, so instead of pasting snippets between a chat window and your workbook, you ask for a change and it drafts it in place. The homepage example is a single prompt — "Build a 3-statement model for Tesla using their latest 10-K" — that comes back as formulas, formatting, and charts. It is configured with spreadsheet-specific tools for multi-step financial analysis and the site states it is powered by Claude Sonnet 5. The design assumption is that you review before anything is written: you see which cells changed, get a one-click undo per action, and each formula arrives with a plain-English explanation of why it was written that way. ModelMonkey reads ranges, formulas, and tabs in workbook context, pulls from web search and SEC EDGAR filings (10-K, 10-Q, 8-K, proxy statements), runs SQL against external data sources, analyzes PDFs with OCR, and applies industry color conventions for assumption and formula cells. Custom instructions let you enforce your firm's modeling conventions. Data is encrypted in transit with TLS 1.3 and at rest with AES-256, and the site states your spreadsheet data is not used to train AI models. It is aimed at financial analysts, data analysts, and startup founders who already build in Sheets or Excel and want the modeling grunt work handled without leaving the file. Pricing is subscription-based and credit-metered: $20/month for 50 credits (Monkey), $70/month for 250 (Chimp), $200/month for 600 (Gorilla), with one-time credit packs for non-subscribers. Every tier carries the same feature list — you are buying capacity, not capability.
Behind the Verdict
The spreadsheet-AI category splits into two groups: chatbots that let you paste formulas in, and tools that live in the workbook. ModelMonkey is firmly the second. That distinction sounds like marketing until you hit the failure mode it prevents — a plausible formula pasted into a model whose row offsets are wrong — and the reason ModelMonkey's controls exist is that a wrong cell in a 3-statement model is worse than no cell at all. Three mechanisms carry that: changes are proposed and approved before they are applied, every cell edit is tracked with a one-click undo per action, and formulas reference cells dynamically rather than being hard-coded, so the model stays auditable. Formulas also come with a written rationale you can disagree with and edit. Where it goes beyond formula generation is data. It searches the web, pulls from EDGAR filings including 10-Ks, 10-Qs, 8-Ks and proxy statements, runs SQL against external data sources, and handles PDFs with OCR. The homepage's own illustration is Tesla's Q2 2025 results turned into a complete 3-statement model, and the docs list Data Source Connections and SQL Queries as first-class features rather than add-ons. Industry color conventions for assumption and formula cells are applied automatically, and custom instructions let you impose your firm's conventions on top of that. The 2026 blog output is a useful signal for fit: recent posts cover COUNTIF ARRAYFORMULA breaking on month ranges in multi-tab monthly reporting, building a reconciled Gmail CRM pipeline feed for board packs, and an investor-ready burn rate dashboard with runway scenarios and burn multiple. That is FP&A and startup-finance work, not general-purpose spreadsheet tinkering. If you are an ops or growth analyst doing ad-hoc cleanup, you will find far less here. Three honest constraints. Credits are the throttle — 50, 250, or 600 per month depending on tier, with one-time packs if you exhaust them — so cost scales with model volume, not with seats. Everything happens inside Google Sheets or Excel, which means no standalone app and no public API; pipeline-level automation is not something the docs describe, so do not buy this expecting to script it. And the tool requires an internet connection, because web search, external databases, and SEC access all run remotely. Documentation covers pooled credits for sharing a subscription's credits across team members, which is the closest thing to team-scale billing here. Compared with paying an analyst hours to rebuild a template, $20/mo is trivial; compared with a spreadsheet you already maintain by hand, it is a real new line item that only pays off if you model regularly.
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Real-world workflow fit
Concrete scenarios for the personas ModelMonkey actually fits — and what changes day-one when you adopt it.
You open last quarter's 3-statement model, ask ModelMonkey to rebuild it for Tesla using the latest 10-K, then review each proposed change in the approval list before applying.
Outcome: You get an updated model with assumptions highlighted per industry color conventions and a written rationale for every formula, and you can undo any single cell edit without rolling back the whole build.
You connect your Gmail CRM pipeline into Google Sheets, ask for a reconciled pipeline feed, and have ModelMonkey generate an investor-ready burn rate dashboard with runway scenarios and burn multiple.
Outcome: You go into the board meeting with a dashboard you can defend line by line, because each figure traces back to a formula ModelMonkey explained and you approved.
A COUNTIF ARRAYFORMULA breaks on month ranges across tabs, and a prior quarter's SQL pull needs refreshing from BigQuery.
Outcome: ModelMonkey reads the workbook context, proposes replacement formulas and a fresh query result, and you approve the writes in place rather than rebuilding the tab by hand.
Use Cases
- Build a 3-statement model for Tesla from their latest 10-K inside the workbook
- Create a DCF valuation for a SaaS company with 40% gross margins
- Pull NVIDIA's revenue for the last four quarters and chart the trend
- Automate a startup burn rate dashboard with runway scenarios and burn multiple
- Turn online earnings data into a complete financial model with formulas and formatting
- Reconcile a Gmail CRM pipeline feed in Google Sheets for board packs and forecasts
- Fix COUNTIF ARRAYFORMULA month-range breaks in multi-tab monthly reporting
- Extract figures from 10-K and PDF source documents with OCR
Models Under the Hood
as of 2026-09-23
Limitations
- Credits cap usage.
- Monkey is 50 credits/month at $20/mo, Chimp 250 at $70/mo, Gorilla 600 at $200/mo, and full 3-statement builds consume them quickly — one-time credit packs exist for when you run out.
- ModelMonkey runs inside Google Sheets and Microsoft Excel rather than as a standalone app, so your workflow has to already live in one of those.
- Changes go through an approval step before writes are applied, which is deliberate but means it is not a hands-off tool.
- Web search, external database, and SEC filing access all require an internet connection.
as of 2026-10-03
Verification history
We have re-verified ModelMonkey 9 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
Showing the 6 most recent of 9 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published ModelMonkey tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Monkey
$20/mo
Ideal for
Solo analyst, founder, or consultant who builds models a few times a month and wants the full feature set without paying for capacity they won't use.
What this tier adds
Starting tier at $20/mo with 50 credits/month, all features included, and email support.
Chimp
$70/mo
Ideal for
Working financial analyst or small FP&A team building 3-statement models and monthly reporting packs regularly enough that 50 credits runs dry.
What this tier adds
Raises the meter from 50 to 250 credits/month and upgrades support from standard email to priority email.
Gorilla
$200/mo
Ideal for
Power users with large-scale or complex data needs — heavy SEC data pulls, SQL against external warehouses, and frequent full-model rebuilds.
What this tier adds
Tops out at 600 credits/month and adds dedicated expert support over Chimp's priority email.
Where the pricing makes sense
The company stage and team size where ModelMonkey's pricing actually pencils out — and where peers do it cheaper.
ModelMonkey fits solo analysts and small finance teams at $20/mo Monkey (50 credits), with $70/mo Chimp and $200/mo Gorilla for heavier modeling volume, plus one-time credit packs for occasional users. Every tier ships the same feature list, so the tiers price capacity rather than capability. It undercuts analyst-hours math on a single rebuilt template; teams already standardized on a spreadsheet platform with native AI, or on general chat assistants used ad hoc, may find the credit meter hard
Setup time & first value
How long it actually takes to get something useful out of ModelMonkey — broken out by persona, not the marketing-page minute.
Install takes minutes: add ModelMonkey to Google Sheets or Microsoft Excel from the marketplace, then pick a monthly plan or buy credits — the docs include a Quickstart for Sheets and a separate Quickstart for Excel, both billed as getting you running in about 5 minutes. First real value usually comes on your first prompt, though a full 3-statement build across an unfamiliar workbook will take
Switching to or from ModelMonkey
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From ChatGPT or another chat assistant: move from copy-pasting formulas into sheets to reviewing proposed in-workbook changes with an undo record.
- →From manual Excel modeling: start with a template rebuild such as a Tesla 3-statement model, then apply custom instructions for your firm's conventions.
- →From Google Sheets native AI suggestions: keep the sheet and add workbook-context reading plus SEC and SQL data access on top.
- →From Python or BI scripting for financial models: reconnect via SQL queries against PostgreSQL or BigQuery to keep the pipeline source.
- ↗To a general AI assistant: export your finished model and continue ad-hoc formula questions in a chat tool, accepting that you lose the in-sheet approval and undo trail.
- ↗To a spreadsheet platform's native AI: rebuild your custom instruction conventions inside that platform, since ModelMonkey's customs do not carry over.
- ↗To a Python or BI pipeline: reimplement the SEC and SQL pulls as scheduled jobs, since ModelMonkey has no public API to call.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 3 videos for “ModelMonkey”, and we withheld 3: 3 could not be judged, because “ModelMonkey” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about ModelMonkey.
Official links
Tools that pair well with ModelMonkey
Common stack mates teams adopt alongside ModelMonkey, with the specific reason each pairing earns its keep.
GPT for Sheets and Docs
AI add-on for Google Sheets and Docs that runs ChatGPT, Claude, and Gemini models to automate formulas, cleanup, and bulk row-level work from a plain-language
Melder
AI Excel add-in that turns plain English into formulas, charts, and document analysis inside your workbook.
Causal
Lucanet's xP&A platform for real-time financial and operational planning in one live model instead of scattered spreadsheets.
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