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Q2 scoped comparison decision

Date: 2026-09-07. Protocol: scripts/bench/README.md § Q2. WRB pin: 52025c304f6cdd242eb6d3fef2f0cb3700838fbd.

What ran

Same machine, fetch-only, competitor CLI installed via npm install -g donsetch (DonSeTch 3.6.7, git 24e6ee8). Occam tree 6bc19e5c7c26 (workspace MCP host, long-lived). Search and crawl arms were not run.

Arm Retrieval T1 / T2 / T3 FP p50 / p90 (success)
Occam 36/48 (75.0%) 100% / 75.0% / 38.5% 0 2109 / 4313 ms
DonSeTch 42/48 (87.5%) 100% / 100% / 53.8% 0 1453 / 5918 ms

Scorecard: scorecard.md. Raw JSON is gitignored under artifacts/wrb/52025c304f6c/results/.

Latency is not a like-for-like process model: Occam reused one MCP host; DonSeTch spawned a new CLI process per URL. p50/p90 are success-conditioned.

Where the six-URL gap is

Occam missed and DonSeTch retrieved (substring probe hit):

Tier Class URL
2 stackoverflow four canonical SO question pages
3 cloudflare indeed.com jobs search
3 cloudflare reuters.com AI topic page

Both missed: Crunchbase ×3, Kayak, Etsy listing, Target product page.

DonSeTch had no URL that Occam retrieved and DonSeTch missed.

The overall gap is 12.5 percentage points (6/48). That exceeds the plan's "investigate if >5 pp" trigger. The misses are gated acquisition, not Tier-1 documentation extract. Stack Overflow remains an Occam honest miss (http_403 / challenge class in prior notes). Reuters was already documented as a CloudFront shell.

Decision

Question Answer
Declare parity? No.
Target segment where Occam is not worse WRB Tier 1 (plain docs / wiki / arXiv / MDN / RFCs): 100% = 100%.
Where DonSeTch is ahead WRB Tier 2/3 acquisition (SO + two Cloudflare walls).
Start a TLS/HTTP2 rewrite? No — plan §7 still defers a proprietary stack copy. The evidence is a short list of anti-bot hosts, not a global extract-quality deficit.
Change search default? No. Search arm not measured. Do not set OCCAM_SEARCH_PROVIDER=donsetch.
Next engine investment if any Honest SO/Reuters/Indeed acquisition (session / browser / documented limits), not OCR and not a universal crawler.

Do not cite 75% or 87.5% as a product-wide success rate. WRB tiers are WRB's, not Occam document classes. Token medians are WRB chars/4, not tiktoken.

Reproduce:

# Windows: WRB's runner prepends ~/.npm-global/bin (Unix). Point at the .exe:
#   set DONSETCH_PATH=%AppData%\npm\node_modules\donsetch\binaries\donsetch.exe
node scripts/bench/run-wrb.mjs --runner=donsetch --fetch-only --verbose
node scripts/bench/run-wrb.mjs --fetch-only --verbose
node scripts/bench/compare-wrb.mjs \
  artifacts/wrb/52025c304f6c/results/occam.json \
  artifacts/wrb/52025c304f6c/results/donsetch.json