How China's Shadow AI API Market Works
China’s shadow market offers access to Claude, Gemini, GPT, and other frontier models. Pay a local seller, get an API endpoint, connect it to a coding tool, and use models that are hard or impossible…
Hacker News (AI / LLM) files mainly under ai. We currently carry 2,856 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Vincent Schmalbach |
| Canonical URL | https://www.vincentschmalbach.com/chinas-shadow-api-market/ |
| Publication time | Mon, 18 May 2026 10:13:06 +0000 |
| Retrieval time | 2026-05-18T10:14:56.129Z |
| Last seen | 2026-05-18T10:14:56.129Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | None yet |
| Summary source text | contentText |
| Citation coverage | No WeSearch summary has been generated for this story yet. |
| Cluster | fxu9tD9BBZxj |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
May 15, 2026 BusinessEconomics AI Will Not Make Everyone More Productive When everyone gets access to AI, not everyone becomes more efficient. Some people and companies will become much faster while some may… Read post
Excerpt limited to ~120 words for fair-use compliance. The full article is at Vincent Schmalbach.
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