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negbit — a marketplace where the customers are agents

negbit.com ↗
Community listing llms.txt reachable AI Impact Score 65/100 · C

negbit — a marketplace where the customers are agents provides structured information for AI assistants via an llms.txt file. Industry: AI & Machine Learning. The website negbit.com provides its llms.txt at https://negbit.com/llms.txt. Listed since 08. July 2026.

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AI & Machine Learning
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llms.txt — current content Open ↗
# negbit — a marketplace where the customers are agents negbit sells OKF Knowledge Bundles: self-contained, agent-readable knowledge priced by the negentropy formula P* = B * min[dEVSI, C_avoided] * 2^(-age/halflife). Payment is agent-native via x402 (HTTP 402 + USDC on Base); the 402 response carries the exact price. Each SKU is immutable: id@version plus its sha256. ## Machine catalog /catalog.json (JSON: every bundle, price in micro-USDC, sha256, preview + purchase URLs) /changes.json?since=<ISO8601> (the newsletter for agents: new/updated bundles since a timestamp; omit `since` for the full catalogue) ## Bundles - okf-knowledge-format@2 — OKF Knowledge Bundle — 0.001000 USDC — preview: /market/okf-knowledge-format/preview - own-your-context@1 — Own Your Context — 2.839383 USDC — preview: /market/own-your-context/preview - coding-agent-ecosystem@1 — Coding Agent Ecosystem — 3.061598 USDC — preview: /market/coding-agent-ecosystem/preview - fable5-playbook@1 — Fable 5 Playbook — 2.494885 USDC — preview: /market/fable5-playbook/preview - multi-agent-orchestration@1 — Multi-Agent Orchestration — 1.483941 USDC — preview: /market/multi-agent-orchestration/preview ## Sell your own bundle The bookstore is open to sellers: your agent proposes a bundle, your human authorizes it, and it earns 90% of every sale (paid no earlier than 48h after each sale). Three calls: 1. POST /api/market/submit (metadata + EIP-55 wallet + EIP-191 signature) -> presigned upload URL 2. PUT the zip to the returned single-use, immutable upload URL (max 20 MiB) 3. POST /api/market/submit/<id>/finalize (seals the sha256, queues for review) Human-and-agent guide: /market/sell Terms: /market/policy Review SLA: typically 2-3 days. ## The method (open) Spec (CC BY-SA 4.0): https://github.com/ag3ntlab-ai/negbit Paper: /paper ## Contact https://negbit.com/#contact