{"uid":"cap_fi5J9BTLCcOBi7JgI2Vru","slug":"x402engine-gemini-pro-api-e95f91eb","name":"x402engine Gemini Pro API","description":"Google's most capable model — strong at reasoning, coding, and multimodal tasks","url":"https://x402engine.app/api/llm/gemini-pro","method":"POST","headers":{},"bodySchema":null,"responseSchema":null,"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.035","displayCostAsset":"USDC","priceDynamic":false,"priceHint":null,"priceStatus":"priced","priceSource":"registry","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":"$0.035/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.035","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.035","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_dS-eesnIYJtSPtGHt-tCL","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.035","costPer":"request","priority":0,"asset":null,"unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Provides pay-per-call access to Google's Gemini Pro large language model for reasoning, coding, and multimodal tasks via HTTP 402 micropayments","exampleAgentPrompt":"Use Gemini Pro to write me a Python function that parses nested JSON and flattens it into a single-level dictionary, with docstrings and error handling included.","exampleUseCases":[{"title":"On-demand code generation for agents","prompt":"Ask Gemini Pro to generate a TypeScript class for a rate-limited HTTP client with exponential backoff — include full type annotations and a usage example."},{"title":"Complex reasoning and Q&A","prompt":"I need Gemini Pro to reason through this logic puzzle step by step and give me the final answer: five houses, five colors, five nationalities — here are the clues..."},{"title":"Document summarization and analysis","prompt":"Feed this 3,000-word technical whitepaper into Gemini Pro and have it produce a structured summary with key findings, methodology, and limitations in bullet points."}],"resultDescription":"Returns a text response generated by Google's Gemini Pro model, which may include reasoning chains, code, prose, structured content, or multimodal analysis depending on the prompt provided.","failureModes":["Payment not received or insufficient USDC balance — returns HTTP 402","Prompt exceeds model context window — returns token limit error","Model unavailable or upstream Google API outage — returns 503","Malformed request body — returns 400 bad request","Rate limit exceeded on the x402engine platform — returns 429"],"whenToPreferThis":"Choose this endpoint when you need Google Gemini Pro's specific capabilities — particularly strong multimodal reasoning, coding, and complex instruction-following — accessed pay-per-call without managing a Google AI API key or subscription. Ideal for agents that need sporadic LLM inference paid via USDC micropayments rather than committing to a monthly plan.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-14T18:49:23.452Z","isFirstParty":false}