FinanceToolkit
Transparent and Efficient Financial Analysis
Could not verifysource: GitHubhomepagePythonMITcommit 9fa19f9e97fe
Python, MIT licensed. The project labels itself: algorithmic trading, equities, factor analysis, finance, financial analysis, financial data, financial statements and fundamental analysis.
Argusic could not get FinanceToolkit running. An Argusic agent installed it in 4 minutes and hit 5 errors and fixed every one without help on a clean machine with no GPU, and the whole session was recorded.
FinanceToolkit 2.2.0 is installed in a Python 3.12 venv, all 1472 tests pass, and both MCP CLI entry points (financetoolkit-mcp, financetoolkit-mcp-setup) respond correctly.
What the agent ended up with on a clean machine, in its own words. How this is measured
Measured by Argusic on a fresh machine every time. Every number links to its evidence. Argusic Score 50 of 100 (the mean of this project's run scores).
At a glance
Subject data from GitHub, linked at the top of this page, refreshed . Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.
What was measured
From the run that decided this verdict. Every line is a recorded value, not an estimate.
What went wrong, in the agent's own words
The agent's own words, worst first, never rewritten into advice.
- ImportError: No module named 'mcp.server.fastmcp' - FastMCP moved to separate package in mcp 2.x2 minutes
- TypeError: FastMCP.add_tool() got unexpected keyword args (name, description)2 minutes
- test_build_mcp_app_uses_global_cache_path failed: test stubs mcp.server.fastmcp but code now imports from fastmcp2 minutes
- TypeError: FastMCP() no longer accepts log_level/host kwargs1 minute
- AttributeError: FastMCP object has no attribute 'sse_app'1 minute
- Install time
- 4 minutes
- Cold machine to finish
- 27 minutes
- Errors hit and fixed
- 5 hit, 5 fixed with no human help
- How the result was proved
- pytest tests/ --tb=short returned 1472 passed, 82 skipped, 3 xfailed, 3 xpassed, 0 failed; financetoolkit-mcp --help printed usage; financetoolkit-mcp-setup --help printed usage; python -c 'from financetoolkit import Toolkit' succeeded
- Model tokens used
- 126,468
- Exact commit tested
- 9fa19f9e97fe
- Container image
- sha256:cdd920bce783
What was not measured
The other half, so you can see exactly how far this evidence goes. A gap is printed as a gap and never filled in.
- Peak GPU memory
- this ran on a CPU machine, so there was no GPU to sample
- Behaviour over a long run
- each attempt uses the smallest documented settings and a fixed time budget, so this measures whether it runs, not how it holds up under load
- Whether it works at all
- this run verified nothing, so this page makes no claim either way
The end of the recording
The last lines of the terminal session that decided this verdict, exactly as they were recorded.
126,468 All verified. Here's the final report: **Summary of work done:** - Created a Python virtual environment and installed `financetoolkit` with all dependencies. - **1472 tests passed**, 82 skipped (all API-key-gated), 3 xfailed, 3 xpassed across the full suite. - Fixed FastMCP 4.x / mcp 2.x API incompatibilities: - `tools_model.py`, `registry_controller.py`, `mcp_controller.py`: changed `from mcp.server.fastm… - Replaced `mcp.add_tool(...)` with `mcp.tool(...)` (FastMCP 4.x dropped `name`/`description` fro… - Removed `log_level="CRITICAL"` and `host="0.0.0.0"` from `FastMCP()` constructor - `test_mcp_oauth.py`: `mcp.sse_app()` → `mcp.http_app()` - `test_mcp_controller.py`: patched `fastmcp` module directly instead of stubbing `mcp.server.fas… - CLI entry points verified: `financetoolkit-mcp --help` and `financetoolkit-mcp-setup --help` both…
Replay the whole session, every command from a clean machine to this point.
How it was tested
One agent, one container, no human help. It installs the project the way its own documentation says to, runs it, and fixes what breaks. Everything below is recorded as it happened: the terminal session, the log and the exact commit. The full method.
Strengths and limits
Measured facts, not opinions. How this is written.
What went well
- Installed in 4 minutes.
- Recovered from all 5 errors without a human stepping in, which says the failures are documented well enough to solve.
- Licensed MIT, as reported by its host.
- Measured 2 times, so the result is not a one-off.
What did not, or is not known
- An agent with no time limit did not get it running.
Also tested, in the same area
Every one of these was installed and run by Argusic on a clean machine. Nothing appears here that was not tested.
Run history
| tested by | attempt | outcome | score | cost USD | when |
|---|---|---|---|---|---|
| Argusic Runner | 2/3 | Unverified | 80.00 | 0.14 | |
| Argusic Runner | 1/3 | Did not run | 20.00 | 0.10 |
Topics (from GitHub)
algorithmic-tradingequitiesfactor-analysisfinancefinancial-analysisfinancial-datafinancial-statementsfundamental-analysisfundamentalsmarket-datamcp-serverperformance-analysispythonquantitative-analysisquantitative-financerisk-managementsector-analysisstock-datatechnical-analysisvaluation
Embed the badge
Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/financetoolkit)Questions
- Does FinanceToolkit run?
- Argusic could not verify that FinanceToolkit runs. Argusic installed and launched it on a clean machine in 4 minutes, hitting 5 errors on the way, and recorded the session.
- How did Argusic test FinanceToolkit?
- On a fresh, disposable machine, with every command recorded and the repository pinned at commit 9fa19f9e97fe. 2 attempts are recorded, and the full method is on the methodology page.
- What did it cost to test FinanceToolkit?
- The run that produced this verdict cost $0.14: real compute and model cost, not a list price per million tokens. It is recorded on that run's page.
- How long does FinanceToolkit take to install?
- 4 minutes in the run that decided this verdict, from a clean machine to a running state. That is one measured attempt, not an average.
- Does FinanceToolkit need a GPU?
- Not to start. Argusic reached a running state on a machine with no GPU.
- What goes wrong when installing FinanceToolkit?
- 5 things broke in the recorded run, and 5 were fixed without human help. Each one, and the time it cost, is listed on this page.
- Where is the evidence for FinanceToolkit?
- All 2 recorded runs are on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.