Automated README summary
Automatically summarized from the README on 23 Sept 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.
What it is
Omni Scraper is an integration and orchestration layer that gives agents one local MCP server to collect public or authorized data, normalize records into a NormalizedDocument schema, run the vendored Last30Days research engine, and discover upstream provider tools dynamically.
How it uses Jev
Jev evaluates documents through OpenRouter. In trader_brief, Jev selects and checks evidence, and a bounded writer produces a short Dutch ES/NQ + crypto brief. The README does not specify the exact state or typed questions passed to Jev.
Technique worth stealing
Keep agent context small with dynamic provider passthrough instead of loading every upstream tool schema upfront.
Try it
uv run python cli.py run --query "AI agents" --sources hackernews,github,arxiv,techmeme,rss --jev-preset market_opportunity_scanner
Model judgments from README excerpts
Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.
Models & evaluation dates
- Inclusion gate
jev-1.13.0- Project signals
jev-1.13.0- Category
jev-1.13.0- Pattern tags
jev-1.13.0
Evidence
These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.
- Jev is core to the projectnot found in the excerpt0.10
- Shows a System One patternnot found in the excerpt0.18
- Describes handling uncertaintynot found in the excerpt0.04
- Reports measured numbersnot found in the excerpt0.04
- Is a runnable toolFound in material0.94
- Top-10 learning shortlist signalnot found in the excerpt0.19
- Is a replica of the modelnot found in the excerpt0.09
- Solves a common problem (0–2)score on a 0–2 scale1.12 / 2
- About JevFound in material0.93
no-judgment band (0.40–0.60)
no-judgment band (0.40–0.60)
The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 23 Sept 2026.