Skip to main content
Glama
FilingCopilot

FilingCopilot

by francisown

FilingCopilot

Ask a question about a U.S. company filing. Get an answer you can check.

FilingCopilot is a research workspace for SEC filings that runs on your machine. It finds the relevant annual or quarterly report, pulls the exact passages, calculates the financial figures, and shows the source behind every claim. If the filing does not support an answer, it says so instead of guessing.

FilingCopilot workspace with an AAPL price chart

The workspace: price history, filing research and source checks in one place.

What it does

  • Answers questions about revenue, profit, margins, cash flow, risks and the wording of a filing.

  • Numbers are handled by fixed rules and calculations; an AI research agent is used only when a question needs narrative evidence or multi-step reasoning.

  • Returns a short answer, the cited passages, code-calculated figures and explicit gaps.

  • Can export a complete research package that a standalone verifier checks offline.

Related MCP server: Oxford Ledge MCP Server

What you can ask

  • "What were Apple's FY2025 revenue and net income?"

  • "Why did Microsoft's operating margin change?"

  • "What regulatory, demand and customer-concentration risks did TSMC disclose?"

  • "Did this filing explicitly deny a demand decline?"

Why it is different

  • Every answer shows its sources. Each delivered claim points to a filing passage or a code calculation.

  • It says when evidence is missing. No fluent guess; the answer carries a visible gap or a refusal.

  • You can re-check it offline. The exported package can be verified without the research model or network.

Latest snapshot

Latest local run: 2026-11-02, 140 questions, DeepSeek research and Mimo review, four questions processed in parallel. The 100 answerable questions and 40 boundary/policy questions are reported separately.

What

Result

Answerable questions with a complete answer

97 / 100

Expected refusals / market-policy cases

20 / 20 · 20 / 20

Unsupported claims / numeric errors

0 / 0

Delivered claims with a source citation

100%

Regression tests

2,307 passed

Three of the 100 answerable questions returned partial answers with explicit gaps; the rest returned complete answers. Latency, token counts, the numeric audit and the exact question IDs are in Evaluation. These are engineering measurements, not an independent human accuracy study.

Speed: numeric questions are usually answered in under a second; long narrative questions call the model and an independent reviewer, so they can take minutes. The latest model-backed P95 was 842 seconds; see Evaluation for the full breakdown.

Try it in 60 seconds

Python 3.10 or later is required. The bundled filing example works without an API key or GPU.

Windows PowerShell

.\setup.ps1
if (-not (Test-Path -LiteralPath .env)) { Copy-Item .env.example .env }
$env:FC_EMBEDDING_MODE = "off"
.\start.ps1 -Port 8159

Open http://127.0.0.1:8159/ and select Apple / AAPL with Data only. Try the bundled package verifier:

.\.venv\Scripts\python.exe -m filingcopilot verify-package examples/annual-facts.json

macOS / Linux

python3 -m venv .venv
.venv/bin/python -m pip install -e "."
cp .env.example .env
FC_EMBEDDING_MODE=off .venv/bin/python -m filingcopilot serve --port 8159

The complete setup and troubleshooting steps are in docs/installation.md.

What you get

For every answer:

  • a short conclusion;

  • the cited filing passages and/or code-calculated figures;

  • explicit gaps for requested parts that are missing;

  • an optional research package that can be exported and checked offline.

How it works

Browser / CLI / REST / MCP
            |
     capability and date scope
            |
 source preparation and filing ingestion
            |
   hybrid retrieval and reranking
            |
 facts, passages and calculations stored with their sources
            |
 fixed checks + independent review
            |
 answer, citations, explicit gaps and an optional research package

Fixed rules handle annual figures, growth, margins and trends without a model. Research questions use a tool-calling agent when they need narrative evidence or multi-step calculations. The service is available through the browser workspace, CLI, REST API and 30 MCP tools.

Who it is for

  • Analysts, investors, students and anyone who needs to read filings carefully.

  • Local or private workflows: data stays on your machine except the model/API calls you configure.

It is not investment advice, a trading system, a production credit-decision system, or a replacement for reading the filing and independent human review.

Enable live filings and research

Copy .env.example to .env and set values locally. Never commit .env.

Variable

Purpose

FC_SEC_USER_AGENT

Contact name and email required by SEC requests

FC_API_BASE / FC_API_KEY

OpenAI-compatible provider endpoint and private key

FC_MODEL

Research model; the checked-in example uses DeepSeek

FC_REVIEW_MODEL

Separate review model; the checked-in example uses Mimo

FC_RESEARCH_TIMEOUT

Overall time limit for one research run; the public example is 3,000 seconds

FC_WATCHLIST_TRIGGERS_ENABLED

Optional: scan saved tickers and queue research only when enabled

FC_EMBEDDING_MODE

off for keyword retrieval or local for optional local embeddings

FC_EXTRA_HEADERS / FC_SESSION_ID

Optional provider-specific request metadata

FC_MAX_COST_USD

Optional ceiling; requires both token prices and is rejected otherwise

Model requests may incur provider charges. The application does not place trades. New filing preparation requires network access and a compliant SEC user agent; existing local data can be queried offline.

Documentation

Development

python -m pip install -e ".[dev]"
python -m pytest -q
python -m ruff check src tests scripts
python -m compileall -q src scripts

The external benchmark data and local filing cache are not committed. Review the licenses in evaluation/external/README.md before fetching non-commercial datasets.

FilingCopilot is an independent engineering project. It is not investment advice, a production credit-decision system, or a certified model.

Related MCP Connectors

Related MCP Servers

  • A
    license
    Not graded
    quality
    A
    maintenance
    Lets any MCP-speaking assistant look up SEC filings and fundamentals, 13F holdings, insider trades, BDC loan books, and U.S. government reference data from Treasury, FRED, FDIC, USAspending, USPTO and CFTC, with the source named on every answer. Most of its 29 tools run keyless against public sources, giving citations-backed answers without an account.
    51 PyPI
    MIT
  • F
    license
    Not graded
    quality
    A
    maintenance
    Enables natural-language financial research across SEC filings, earnings transcripts, financial metrics, stock and crypto market data, stock news, and prediction markets, returning structured, source-backed answers within MCP clients.
    -
  • F
    license
    Not graded
    quality
    A
    maintenance
    Enables natural-language financial research and analysis across public filings, earnings transcripts, financial metrics, stock and crypto market data, and prediction markets, returning structured, source-backed answers within MCP clients.
    -