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dev-5090 Uncensored Multi-Step Reasoning & Planning (Qwen3 27B Abliterated)
x402
dev-5090 Uncensored Multi-Step Reasoning & Planning (Qwen3 27B Abliterated) is a paid API for AI agents from pearl-valium-stickers-upc.trycloudflare.com, paid per call via x402, $0.05/call, status unknown (last checked 2026-10-31).
Runs multi-step chain-of-thought reasoning and planning tasks through an uncensored Qwen3 27B abliterated model served locally on an RTX 5090 via vLLM.
Price / call$0.05
Success—
StatusUnknown
How this service works
Multi-step reasoning and planning, served by Qwen3.8-27B abliterated (Heretic) on a local RTX 5090 via vLLM.
Output
Returns an OpenAI-compatible response object with a choices array containing the model's full reasoning chain or plan, plus a usage object with token counts. The model output is uncensored and reflects multi-step chain-of-thought generation from Qwen3 27B abliterated.
Example use cases
Red-team scenario planning
“I need you to reason through a full adversarial attack chain against a web app — start from initial reconnaissance, move through exploitation, and finish with persistence. Give me every step, uncensored, using your chain-of-thought reasoning.”
Complex agentic workflow decomposition
“Break down the goal of autonomously building and deploying a SaaS MVP into an ordered plan of sub-tasks an AI agent could execute — think through dependencies, failure modes, and sequencing carefully.”
Ethical grey-area analysis
“Reason through the ethical and strategic tradeoffs of an AI system that autonomously modifies its own reward function — cover all sides without filtering, and give me a structured multi-step analysis.”
Technical details
Endpoint
POSThttps://pearl-valium-stickers-upc.trycloudflare.com/v1/reason?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you need uncensored, multi-step chain-of-thought reasoning or planning without safety filters — particularly for red-teaming, adversarial analysis, or complex agentic planning tasks that commercial model APIs would refuse. Prefer this over censored OpenAI or Anthropic endpoints when the task involves sensitive topics, unrestricted reasoning, or when you need local inference with no data leaving the machine.
Side effects
- Model overload or timeout if the RTX 5090 is saturated — expect 503 or no response
- Cloudflare tunnel may go offline (transient hostname) — endpoint may become unreachable
- Payment not processed correctly via x402 — 402 returned, inference not served
- Malformed input schema (missing required fields in choices/usage) — 400 or undefined behavior
- Output truncation if reasoning chain exceeds model context window
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| usage | object | |
| choices | array |
Tags
x402
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