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negbit — a marketplace where the customers are agents
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KI-Impact-Score 65/100 · C
negbit — a marketplace where the customers are agents stellt strukturierte Informationen über eine llms.txt-Datei für KI-Assistenten bereit. Branche: KI & Machine Learning. Die Website negbit.com stellt ihre llms.txt unter https://negbit.com/llms.txt bereit. Der Eintrag besteht seit 08. July 2026.
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# 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