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WhatChuNeed LLM Think — Reasoning-Enhanced Text Generation
x402
WhatChuNeed LLM Think — Reasoning-Enhanced Text Generation is a paid API for AI agents from whatchuneed.vercel.app, paid per call via x402, $0.1/call, status unknown (last checked 2026-09-14).
Sends a prompt (with optional context) to an LLM with extended reasoning/thinking capabilities and returns a response along with the model's reasoning trace and token usage.
Price / call$0.1
Success—
StatusUnknown
How this service works
320+ pay-per-call API endpoints across accommodation, LLM, code execution, crypto, medical, finance, and more. One API, one payment. Powered by x402 protocol.
Output
Returns a JSON object containing the model name used, the full text response, a reasoning/thinking trace showing the model's internal chain of thought, and the total number of tokens consumed by the request.
Example use cases
Step-by-step logic puzzle solving
“I need you to think through this logic puzzle step by step and show me your reasoning: there are 5 houses in a row, each a different color, and I need to figure out who owns the fish. Here are all the clues: [clues]. Walk me through how you arrived at the answer.”
Complex decision reasoning assistant
“Help me think through whether I should accept this job offer — it pays 20% more but requires relocating from Austin to Seattle and I'd be switching from a senior IC role to a manager role. Show me the reasoning behind your recommendation.”
Code architecture justification
“I'm debating between a microservices architecture and a monolith for my new SaaS app — it's a B2B tool expecting maybe 500 users in year one. Can you reason through the tradeoffs carefully and tell me what you'd recommend and why?”
Technical details
Endpoint
POSThttps://whatchuneed.vercel.app/api/llm/thinkWhen to prefer
Choose this endpoint when you specifically need to expose or inspect the model's reasoning trace alongside its final answer — useful for debugging agent decisions, educational explanations, or tasks where chain-of-thought transparency matters. Prefer over a basic LLM completion endpoint when reasoning quality and traceability are more important than raw speed or cost.
Side effects
- Missing required 'prompt' field returns a 400-level error
- Prompt too long may exceed model context limits and fail
- Payment not provided or insufficient USDC causes a 402 Payment Required response
- Model may timeout on very long reasoning chains
- Context field may be silently truncated if combined length exceeds limits
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| promptrequired | string | |
| context | string |
Output
Schema · Response
| Field | Type | Description |
|---|---|---|
| model | string | |
| response | string | |
| reasoning | string | |
| tokens_used | integer |
Tags
x402
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