quantmodel — Make outbound HTTP User-Agent identification discreet and privacy-preserving

Objective

Make outbound HTTP User-Agent identification discreet and privacy-preserving.

Notes: Centralized a minimal project/version/contact User-Agent across FRED/ALFRED, Shiller, OECD, SPF, Nareit, Allocate Smartly, Wayback, TradingView, and Yahoo; removed browser/OS/runtime claims and made urllib file downloads header-aware; added focused identity tests.

Approach

Reuses existing report research/findings/outbound-user-agent-t217.md — tables/metrics preserved verbatim via source_report pointer. Body below summarizes grounded evidence from that report and adjacent artifacts.

Files / code / data changed

No commit SHA confidently associated with t217 in sampled log [reconstructed — uncertain].
Source report: research/findings/outbound-user-agent-t217.md
Task-history entry: research/findings/task-history.json#t217

Results

Conclusions and metrics are in research/findings/outbound-user-agent-t217.md; see detail page for preserved tables/metrics.

Conclusions

[reconstructed — uncertain] Outcome inferred from status done and task note.

Problems / follow-ups

See source report or PR discussion for follow-ups. No unsupported follow-ups fabricated.