{"uid":"cap__RrydAf8kVRYC-bJOvctm","slug":"citiview-nemotron-120b-chat-completions-7da57cff","name":"Citiview Nemotron 120B Chat Completions","description":"Citiview Agent Market: 211 pay-per-call tools for AI agents. Cited answers, deep research, agent memory, file hosting, webhooks, schedules, sanctions and link safety checks, OpenAI-compatible LLMs on 11 models, web search, scraping, PDF, OCR, speech, Solana and EVM token risk, DeFi, prediction odds, SEC data. Pay per call in USDC with x402. No key, no signup.","url":"https://agents.citiviewgroup.com/v1/nemotron/chat/completions?utm_source=zero.xyz","method":"GET","headers":{},"bodySchema":{"type":"object","$schema":"https://json-schema.org/draft/2020-12/schema","required":["input"],"properties":{"input":{"type":"object","required":["type","method"],"properties":{"type":{"type":"string","const":"http"},"method":{"enum":["GET"],"type":"string"},"queryParams":{"type":"object","required":["prompt"],"properties":{"prompt":{"type":"string","description":"User message"},"system":{"type":"string","description":"Optional system message"},"max_tokens":{"type":"integer"},"temperature":{"type":"number"}}}},"additionalProperties":false},"output":{"type":"object","required":["type"],"properties":{"type":{"type":"string"},"example":{"type":"object"}}}}},"responseSchema":{"type":"json","example":{"id":"chatcmpl-...","model":"nemotron-3-120b","usage":{"total_tokens":18,"prompt_tokens":14,"completion_tokens":4},"object":"chat.completion","choices":[{"index":0,"message":{"role":"assistant","content":"Bonjour !"},"finish_reason":"stop"}]}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.011246","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"probe","requiresHandshake":false,"reviewCount":0,"rating":{"score":"0.00","successRate":"0.00","reviews":0,"stars":null,"state":"unrated"},"availabilityStatus":"unknown","priceObserved":null,"sessionDeposit":null,"pricing":{"kind":"static","summary":"$0.011246/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.011246","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.011246","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_WHMGzDiNME4C4jpZ96JkX","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.011246","costPer":"request","priority":0,"asset":"0x833589fCD6eDb6E08f4c7C32D4f71b54bdA02913","unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"OpenAI-compatible chat completions powered by NVIDIA Nemotron 3 120B, supporting tool calling, agentic reasoning, and streaming via x402 micropayment","exampleAgentPrompt":"Ask the Nemotron 120B model: 'What are the pros and cons of microservices architecture?' — use a temperature of 0.7 and up to 512 tokens in the response.","exampleUseCases":[{"title":"Agentic tool-calling pipeline","prompt":"I need you to use the Nemotron 120B model to reason through this multi-step problem and call the appropriate tools: given a user's location and budget, recommend a travel itinerary. Use up to 2048 tokens and set temperature to 0.5."},{"title":"Complex reasoning with large model","prompt":"Run this through the Nemotron 120B: analyze the following business scenario and provide a structured decision framework — 'A startup has $500k runway, two product lines, and declining growth in one.' Give me up to 1000 tokens of reasoning."},{"title":"System-prompted coding assistant","prompt":"Use the Nemotron 120B with the system message 'You are an expert Python engineer' and ask it: 'Refactor this function to be more Pythonic and add type hints' — here's the code: [paste code]. Keep max tokens at 800."}],"resultDescription":"Returns an OpenAI-compatible chat completion object containing the assistant's message, optional tool call requests, usage statistics (prompt tokens, completion tokens, total tokens), finish reason, and optionally streamed token chunks. Output supports up to 4096 tokens.","failureModes":["Missing required prompt parameter returns 400 error","x402 payment failure or insufficient USDC balance blocks the request","Exceeding 4096 output token limit truncates response","Invalid temperature or max_tokens values may cause 422 validation errors","Network timeout on long reasoning chains with many tokens","Tool calling schema errors if tool definitions are malformed"],"whenToPreferThis":"Choose this endpoint when you need a very large (120B parameter) model with strong agentic reasoning and tool-calling capabilities, want OpenAI SDK compatibility without a subscription, prefer pay-per-call micropayment pricing via x402, or need to integrate a powerful LLM into an autonomous agent pipeline. Prefer over smaller models (e.g. Llama 3.1 8B on the same platform) when task complexity demands deeper reasoning or more nuanced outputs.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-10-14T06:48:22.204Z","isFirstParty":false,"canonicalSlug":"citiview-nemotron-120b-chat-completions-7da57cff"}