{"uid":"cap_PX9m1HfsFEM1o9cNDqmyf","slug":"safevision-content-moderation-chat-api-ac09c849","name":"SafeVision Content Moderation Chat API","description":"Paid AI API endpoints via x402 micropayments","url":"https://x402-ai-peach.vercel.app/api/safevision","method":"POST","headers":{},"bodySchema":{"type":"object","required":["messages"],"properties":{"stream":{"type":"boolean","description":"Stream response"},"messages":{"type":"array","description":"Chat messages array"},"max_tokens":{"type":"integer","description":"Max tokens"},"temperature":{"type":"number","description":"Temperature"}}},"responseSchema":{"type":"object","properties":{"id":{"type":"string","description":"Response ID"},"choices":{"type":"array","items":{"type":"object","properties":{"message":{"type":"object","properties":{"role":{"type":"string"},"content":{"type":"string"}}}}}}}},"example":null,"exampleRequest":null,"tags":["x402"],"displayCostAmount":"0.075","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":"$0.075/call","primary":{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.075","per":"call","confidence":"exact"},"accepted":[{"kind":"static","protocol":"x402","network":"base","amountUsd":"0.075","per":"call","confidence":"exact"}]},"paymentMethods":[{"uid":"pm_AvQOImDA8t6mca3_DLTC8","protocol":"x402","methodType":"crypto","chain":"base","mode":"charge","costAmount":"0.075","costPer":"request","priority":0,"asset":null,"unit":"request","depositMicros":null,"planRef":null}],"brandName":null,"brandSlug":null,"brandBaseUrl":null,"brandDocsUrl":null,"whatItDoes":"Analyzes chat messages through a safety-focused AI vision model to detect harmful, unsafe, or policy-violating content via x402 micropayments","exampleAgentPrompt":"Can you screen this batch of user messages for unsafe or policy-violating content using the SafeVision moderation API — up to 512 tokens per response — and flag anything that looks harmful?","exampleUseCases":[{"title":"User-generated content pre-publish screening","prompt":"Before we publish these 10 user comments to our forum, can you run them through SafeVision to check if any contain harmful or inappropriate content? Use a temperature of 0 for deterministic results and cap at 256 tokens."},{"title":"Real-time chat moderation for live platform","prompt":"I need you to stream-moderate incoming chat messages on our platform in real time — send each message to SafeVision with streaming enabled and alert me immediately if anything unsafe comes through."},{"title":"Image caption safety review","prompt":"We have a set of image captions submitted by users — can you analyze them through SafeVision to detect any that violate our content safety policy before we display them publicly?"}],"resultDescription":"Returns a JSON object with a unique response ID and a choices array containing AI-generated safety analysis messages. Each choice includes a role-tagged message with content describing the moderation verdict or safety assessment of the input messages.","failureModes":["Payment failure: 402 response if x402 micropayment of $0.075 USDC is not properly attached","Invalid messages array: 400 error if required 'messages' field is missing or malformed","Token limit exceeded: truncated or error response if max_tokens is set too low for the analysis","Timeout: slow or failed response if content is very large and streaming is not enabled","Unsupported content type: model may return generic response if input format is unexpected"],"whenToPreferThis":"Choose this endpoint when you need pay-per-use AI-powered content safety analysis without a subscription commitment, especially when you want micropayment-based billing via x402/USDC. It is well-suited for sporadic or burst moderation workloads where cost-per-call pricing is preferable to flat-rate plans. Prefer this over general-purpose LLM APIs when the specific use case is content safety screening and you want a purpose-named 'SafeVision' model tuned for that task.","instructions":null,"reviewSummary":null,"reviewSummaryHighlights":null,"reviewSummaryConcerns":null,"reviewSummaryGeneratedAt":null,"activationCount":0,"lastUsedAt":null,"lastSuccessfullyRanAt":null,"lastHealthCheckAt":"2026-09-14T00:36:25.849Z","isFirstParty":false}