{"endpoint":{"id":"7d4e2f1713326f39","rail":"x402","source":"payai","url":"https://quickbuild.quynguyenbac.workers.dev/v1/chat/completions","method":"GET","host":"quickbuild.quynguyenbac.workers.dev","serviceName":"QuickBuild","description":"Drop-in OpenAI Chat Completions endpoint: POST {model, messages, max_tokens, temperature, top_p, seed, stream, response_format} and get a chat.completion object (or SSE chunks with stream=true). Models (Cloudflare Workers AI): llama-3.1-8b (default), llama-3.2-3b, llama-3.2-1b, mistral-7b, granite-4.0-micro; any other model name maps to the default (actual model is in the response). Text only, no tool calling; max_tokens capped at 512, input up to 24000 chars. Latest user message checked by Llama Guard 3 (unsafe = 400). Fixed price per call. If the daily capacity is used up you get 503 \"capacity\". Errors are never charged. GET with ?prompt= also works; with no params it answers a short sample question. Free model list: GET /v1/models.","tags":["llm","chat","openai-compatible","inference","ai"],"platforms":["openai","meta-llama","mistral"],"tasks":["chat"],"categoryId":"llm-inference","priceUsd":0.003,"priceScheme":"exact","network":"eip155:8453","payTo":"0x751a4c3841bE287544C371B4EE09Bd3366AeA7cf","testnetOnly":false,"calls30d":null,"payers30d":null,"lastCalledAt":null,"startFeeUsd":null,"platformUsageExtra":null,"reportedSuccess30d":null,"pageUrl":null,"batchMax":null,"exampleCount":null,"unitsPerCharge":1,"unitBasis":"call","unitPriceUsd":0.003,"firstSeenAt":"2026-10-21T00:07:10.025Z","lastSeenAt":"2026-10-21T00:07:10.025Z","lastProbedAt":"2026-10-21T00:15:06.938Z","embeddedHash":"cf0fc674cd84bbb800db6411508b2acd849811a415444786d1b70d4895fc8419"},"score":{"endpointId":"7d4e2f1713326f39","computedAt":"2026-10-21T01:46:11.529Z","score":null,"grade":null,"uptime7d":1,"latencyP50Ms":611,"probeCount7d":1,"flags":["no-usage-data"]},"recentProbes":[{"id":250896,"endpointId":"7d4e2f1713326f39","checkedAt":"2026-10-21T00:15:07.087Z","statusCode":402,"latencyMs":611,"valid402":true,"priceUsd":0.003,"payTo":"0x751a4c3841bE287544C371B4EE09Bd3366AeA7cf","error":null,"mcpOutcome":null,"mcpProtocol":null}],"siblings":{"total":5,"sameCategory":1,"rows":[{"id":"f4c0df6b5632c0c7","method":"GET","url":"https://quickbuild.quynguyenbac.workers.dev/api/base/gas","categoryId":"onchain-data","priceUsd":0.001,"priceScheme":"exact"},{"id":"3783b0fdc849f5f8","method":"GET","url":"https://quickbuild.quynguyenbac.workers.dev/api/chat","categoryId":"llm-inference","priceUsd":0.003,"priceScheme":"exact"},{"id":"5dff08820c8df475","method":"GET","url":"https://quickbuild.quynguyenbac.workers.dev/api/markdown","categoryId":"web-extraction","priceUsd":0.005,"priceScheme":"exact"},{"id":"28730accf19179ab","method":"GET","url":"https://quickbuild.quynguyenbac.workers.dev/api/summarize","categoryId":"web-extraction","priceUsd":0.02,"priceScheme":"exact"},{"id":"603139edaa749e7b","method":"GET","url":"https://quickbuild.quynguyenbac.workers.dev/api/translate","categoryId":"web-extraction","priceUsd":0.005,"priceScheme":"exact"}]},"tools":null,"source":{"name":"Hagglyai","url":"https://hagglyai.com/compare/llm-inference","asOf":"2026-10-21T02:24:03.187Z"}}