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  "title": "Jevpipe",
  "description": "Jevpipe is a Unix filter that pipes arbitrary data into a cheap System-1 model and returns typed decisions — yes/no, multiple-choice routing, or scores — for bulk agent judgments. Open source: yes (Apache-2.0) client, but depends on a hosted model via OpenRouter. Usage-based (~$0.023 per 1,000 decisions); launched 2026-09-28; 1 star.",
  "category": "ai-infrastructure",
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  "one_liner": "Jevpipe is a Unix filter that pipes data into a cheap System-1 model and returns typed decisions — yes/no, routing, or scores — for bulk agent judgments.",
  "open_source": "yes",
  "self_hostable": "no",
  "pricing_signal": "usage-based via OpenRouter, ~$0.023 per 1,000 decisions; cost caps via --max-cost",
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  "who_its_for": "An engineer who wants to drop cheap, typed LLM judgments into a shell pipeline — classify, route, or score bulk records with a Unix filter — and cap spend per run, accepting an OpenRouter API key and a hosted model as dependencies.",
  "who_its_not_for": "Anyone needing fully offline or self-hosted inference (the client is OSS but the 'Jev' System-1 model is hosted via OpenRouter), or tasks demanding high-stakes accuracy beyond a cheap first-pass classifier.",
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    "note": "Apache-2.0 client per repo; 1 star; launched 2026-09-28; a Unix filter piping stdin into a hosted 'Jev' System-1 model (requires an OpenRouter API key) returning typed decisions (yes/no, multiple-choice routing, scores); usage-billed via OpenRouter (~$0.023/1,000 decisions) with --max-cost caps. Vendor-reported: 83.2% classification accuracy; found 1,272 relevant functions across 470 searches in 5 languages (github.com/fabianboth/jevpipe, verified 2026-09-28)."
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  "caveats": "Verified from the primary repo (2026-09-28); no independent testing here. IMPORTANT: the client is open source (Apache-2.0) but NOT fully self-hostable — it requires an OpenRouter API key and the hosted 'Jev' System-1 model, so treat it as an OSS client with a hosted-model dependency. The 83.2% accuracy and 1,272-functions/470-searches figures are the maker's own numbers (vendor-claim), not independently reproduced. Day-one release at 1 star; OpenRouter usage bills on your own account.",
  "lead": "Jevpipe is a Unix filter that pipes arbitrary data into a cheap \"System-1\" model and returns typed decisions — yes/no, multiple-choice routing, or scores — for bulk agent judgments. Open source: yes (Apache-2.0) for the client, but it depends on a hosted model via OpenRouter, so it is not fully…",
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      "text": "Jevpipe is a Unix filter that pipes arbitrary data into a cheap \"System-1\" model and returns typed decisions — yes/no, multiple-choice routing, or scores — for bulk agent judgments. Open source: yes (Apache-2.0) for the client, but it depends on a hosted model via OpenRouter, so it is not fully self-hostable. Pricing is usage-based (~$0.023 per 1,000 decisions); it launched 2026-09-28 with 1 star."
    },
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      "heading_path": [
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        "What it does"
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      "text": "and returns typed decisions — yes/no, multiple-choice routing, or scores — for bulk agent judgments. Open source: yes (Apache-2.0) for the client, but it depends on a hosted model via OpenRouter, so it is not fully self-hostable. Pricing is usage-based (~$0.023 per 1,000 decisions); it launched 2026-09-28 with 1 star.\n\nJevpipe makes an LLM behave like any other command in a shell pipeline. You pipe data into it, and it returns a typed decision — a yes/no, a choice from a set (for routing), or a numeric score — by sending the input to a cheap, fast \"System-1\" model called Jev, hosted through OpenRouter. Because it is a Unix filter, it composes with `grep`, `xargs`, and the rest, which makes it a natural fit for bulk judgments: classify thousands of records, route items, or score candidates in one pass. A `--max-cost` flag caps spend per run. Open source: yes (Apache-2.0) client; hosted-model dependency; usage-priced."
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      "text": "Because it is a Unix filter, it composes with `grep`, `xargs`, and the rest, which makes it a natural fit for bulk judgments: classify thousands of records, route items, or score candidates in one pass. A `--max-cost` flag caps spend per run. Open source: yes (Apache-2.0) client; hosted-model dependency; usage-priced.\n\n- Apache-2.0 client per repo; 1 star; launched 2026-09-28; Unix filter piping stdin into a hosted \"Jev\" System-1 model (needs an OpenRouter API key), returning typed decisions (yes/no, multiple-choice routing, scores); usage-billed via OpenRouter (~$0.023/1,000 decisions) with --max-cost caps (github.com/fabianboth/jevpipe, verified 2026-09-28).\n- Not fully self-hostable: the client is OSS, the model is hosted. Represented here as \"OSS client, hosted-model dependency,\" not as a self-hosted tool.\n- Maker-reported: 83.2% classification accuracy at $0.023/1,000 decisions; found 1,272 relevant functions across 470 searches in 5 languages — the maker's own numbers (vendor-claim), not independently reproduced.\n- Curated from the GTM Stacker signal registry (2026-09-28 pass); license/facts independently verified 2026-09-28."
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      "text": "\"OSS client, hosted-model dependency,\" not as a self-hosted tool. - Maker-reported: 83.2% classification accuracy at $0.023/1,000 decisions; found 1,272 relevant functions across 470 searches in 5 languages — the maker's own numbers (vendor-claim), not independently reproduced. - Curated from the GTM Stacker signal registry (2026-09-28 pass); license/facts independently verified 2026-09-28.\n\nA lot of GTM work is cheap, high-volume judgment: is this lead in-ICP, which segment does this reply belong to, how relevant is this scraped result. Jevpipe turns that into a shell one-liner — pipe the records in, get typed decisions out, cap the cost — which is exactly the shape of a bulk enrichment or triage step. Pricing is usage-based (~$0.023 per 1,000 decisions). The honest read: two caveats matter. It is an OSS client but leans on a hosted System-1 model via OpenRouter, so it is not a self-hosted or offline tool and it bills on your account; and the 83.2% accuracy is the maker's own figure on a day-one project — fine as a cheap first-pass filter, but validate it against your labels before it gates anything consequential."
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