Disclosure Alpha
Deterministic SEC filing analytics — parse, score, diff. No LLM required.
Open-source, deterministic SEC filing analytics for 10-K and 10-Q HTML. Reproducible JSON scores from text metrics, boolean risk flags, and section diffs. CLI, Python SDK, HTTP API, OpenBB Workspace, and MCP. 8-K supported via local --html or MCP Builder only (not --ticker, EDGAR, or HTTP ticker routes).
Not investment advice. See Scope and claims.
Quick start
pip install "disclosure-alpha"
export SEC_USER_AGENT="YourName your@email.com" # required for --ticker / EDGAR only
disclosure-alpha score --ticker AAPL --fiscal-year 2025 --form 10-K
HTTP API + MCP: pip install "disclosure-alpha[api,mcp]"
from disclosure_alpha import score_filing_ticker
print(score_filing_ticker("AAPL", 2025, form_type="10-K").scores.overall_disclosure_risk_score)
Integration surfaces
| Surface | Entry | Extra |
|---|---|---|
| CLI | disclosure-alpha |
(base) |
| Python SDK | import disclosure_alpha |
(base) |
| HTTP API | disclosure-alpha-api |
[api] |
| OpenBB Workspace | disclosure-alpha-api + OpenBB guide |
[api,mcp] |
| MCP Analyst | disclosure-alpha-mcp-analyst |
[mcp] |
| MCP Builder | disclosure-alpha-mcp-builder |
[mcp] |
Documentation
Full guides and methodology: https://disclosure-alpha.readthedocs.io/en/latest/
Links
- Repository: https://github.com/alwank/disclosure-alpha
- Changelog: https://github.com/alwank/disclosure-alpha/blob/main/docs/appendix/changelog.md
- Contributing: https://github.com/alwank/disclosure-alpha/blob/main/CONTRIBUTING.md
Apache-2.0. See LICENSE.
1 maintainer
Release files for disclosure-alpha 1.5.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| disclosure_alpha-1.5.1.tar.gz | 1.5 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| disclosure_alpha-1.5.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 1.7 MB
Release files / disclosure_alpha-1.5.1.tar.gz
| Download URL | disclosure_alpha-1.5.1.tar.gz |
|---|---|
| Size | 1.5 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
Provenance
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PyPI Publish Attestation
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Signed by GitHub Actions, verified by PyPI on Jun 26, 2026.
Transparency logRelease files / disclosure_alpha-1.5.1-py3-none-any.whl
| Download URL | disclosure_alpha-1.5.1-py3-none-any.whl |
|---|---|
| Size | 135.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.13.12
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jun 26, 2026.
Transparency log
