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market-data-freshness-engine

Detects stale financial market data with provenance and freshness scoring.

Top level of the repository
SizeFolderInside
282 Bexamples/1 script
701 Bsrc/1 script
714 Btests/1 test file
3.9 kB(root)13 docs · 2 config files
19 files · 5.6 kB · computed 2026-09-16
SizePath
118 BAGENT_EVAL.md
156 BARCHITECTURE.md
112 BBENCHMARK_REPORT.md
73 BCHANGELOG.md
58 BDEPENDENCIES.md
90 BLICENSE.md
146 BLIMITATIONS.md
80 BPREVIEW.md
164 BQUICKSTART.md
400 BREADME.md
179 BSECURITY.md
128 BSUPPORT.md
114 BTEST_REPORT.md
152 BVERIFICATION.md
238 Bcommercial-manifest.json
282 Bexamples/freshness_demo.py
1.7 kBrelease-manifest.json
701 Bsrc/freshness.py
714 Btests/test_freshness.py
computed 2026-09-16 21:38 UTC · analyzer 0.1.0

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README

Market Data Freshness Engine

A local-first Python engine that classifies feed observations as fresh, stale, future-dated, or anomalous. Buyer: quantitative and data-platform teams.

python3 -m unittest discover -s tests -v
python3 examples/freshness_demo.py

The engine provides deterministic quality decisions and does not provide financial advice or price forecasts. Price band: $199.

Security scan report

Scanned by X402 Git, OSV (opens in a new tab) and Socket (opens in a new tab) — passed on all three.

secrets
none found
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size limits
within caps
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known malware
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OSV
known vulnerabilities
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dependency behaviour
no dependency manifests to check
Socket
instruction smuggling
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what it can do
nothing to declare
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What this can do

No tools, no hosts, no environment variables, nothing runs at install.

Releases 1

  1. v1.0.02026-09-16

    release: v1.0.0 commercial source edition

$199updates $49

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