{"service":"GEDX402 Knowledge","role":"shard","hub":"https://gedx402.com","pricing":{"formula":"max(floor, (neurons/1000)*NEURON_USD_RATE*MARKUP_MULTIPLIER+FACILITATOR_BUFFER_USD)","neuron_usd_rate":0.011,"markup_multiplier":2.5,"facilitator_buffer_usd":0.002,"dynamic":true},"payments":{"asset":"USDC","facilitator":"coinbase-cdp","networks":[{"id":"base","label":"Base","caip":"eip155:8453","asset":"USDC","family":"evm"}],"primary_network":"base"},"routes":[{"path":"/v1/embed/ping","method":"POST","model":"@cf/baai/bge-small-en-v1.5","kind":"embed","tags":["embeddings","rag","translate","nlp","usdc","multi-chain","embed","rag-bundle"],"prominence":"hero","shard":"embed","origin":"https://embed.gedx402.com","url":"https://embed.gedx402.com/v1/embed/ping","summary":"Embed ping (entry probe)","description":"Entry probe — x402 settlement USDC per request (see npm run pricing:report). POST { text: \"ping\" } on embed.gedx402.com; 384-dim BGE-small vector. Hero: GET /heroes/embed-ping.","floor_usd":0.001,"price_usd":0.001,"price_display":"$0.0010","estimated_neurons":0,"worst_case_price_usd":0.0036225,"worst_case_price_display":"$0.0036","middleware_price_note":"402 uses worst-case catalog estimates with account COGS from account-cogs.json; npm run pricing:sync refreshes neuron rates."},{"path":"/v1/embed/small","method":"POST","model":"@cf/baai/bge-small-en-v1.5","kind":"embed","tags":["embeddings","rag","translate","nlp","usdc","multi-chain","embed","rag-bundle"],"prominence":"hero","shard":"embed","origin":"https://embed.gedx402.com","url":"https://embed.gedx402.com/v1/embed/small","summary":"Text Embeddings (small)","description":"Generate text embeddings with BGE Small EN V1.5 (@cf/baai/bge-small-en-v1.5). POST text or texts[] for semantic search, RAG retrieval, and clustering; billed by input character volume. Identical POSTs within 300s return cached JSON with X-GED-Cache: hit and no second x402 charge after the first paid populate.","floor_usd":0.001,"price_usd":0.00211,"price_display":"$0.0021","estimated_neurons":4,"worst_case_price_usd":0.0036225,"worst_case_price_display":"$0.0036","middleware_price_note":"402 uses worst-case catalog estimates with account COGS from account-cogs.json; npm run pricing:sync refreshes neuron rates."},{"path":"/v1/translate","method":"POST","model":"@cf/meta/m2m100-1.2b","kind":"translate","tags":["embeddings","rag","translate","nlp","usdc","multi-chain","competitive","translation"],"prominence":"hero","shard":"embed","origin":"https://embed.gedx402.com","url":"https://embed.gedx402.com/v1/translate","summary":"Machine Translation","description":"M2M100 machine translation — one x402 payment on embed.gedx402.com. POST { text, source_lang, target_lang } → { translated_text }; wire settlement USDC per request (see npm run pricing:report) worst-case. Hero: GET /heroes/translate. Competitive discovery alongside embed ping; not in the five-step AOV ladder.","floor_usd":0.004,"price_usd":0.004,"price_display":"$0.0040","estimated_neurons":32,"worst_case_price_usd":0.01,"worst_case_price_display":"$0.010","middleware_price_note":"402 uses worst-case catalog estimates with account COGS from account-cogs.json; npm run pricing:sync refreshes neuron rates."},{"path":"/v1/embed","method":"POST","model":"@cf/baai/bge-base-en-v1.5","kind":"embed","tags":["embeddings","rag","translate","nlp","usdc","multi-chain","embed"],"prominence":"standard","shard":"embed","origin":"https://embed.gedx402.com","url":"https://embed.gedx402.com/v1/embed","summary":"Text Embeddings","description":"Generate text embeddings with BGE Base EN V1.5 (@cf/baai/bge-base-en-v1.5). POST text or texts[] for semantic search, RAG retrieval, and clustering; billed by input character volume. Identical POSTs within 300s return cached JSON with X-GED-Cache: hit and no second x402 charge after the first paid populate.","floor_usd":0.003,"price_usd":0.003,"price_display":"$0.0030","estimated_neurons":13,"worst_case_price_usd":0.007335,"worst_case_price_display":"$0.0073","middleware_price_note":"402 uses worst-case catalog estimates with account COGS from account-cogs.json; npm run pricing:sync refreshes neuron rates."},{"path":"/v1/embed/bge-m3","method":"POST","model":"@cf/baai/bge-m3","kind":"embed","tags":["embeddings","rag","translate","nlp","usdc","multi-chain","embed"],"prominence":"standard","shard":"embed","origin":"https://embed.gedx402.com","url":"https://embed.gedx402.com/v1/embed/bge-m3","summary":"BGE M3 Embeddings","description":"Generate text embeddings with BGE M3 (@cf/baai/bge-m3). POST text or texts[] for semantic search, RAG retrieval, and clustering; billed by input character volume. Identical POSTs within 300s return cached JSON with X-GED-Cache: hit and no second x402 charge after the first paid populate.","floor_usd":0.001,"price_usd":0.0020825,"price_display":"$0.0021","estimated_neurons":3,"worst_case_price_usd":0.0029625,"worst_case_price_display":"$0.0030","middleware_price_note":"402 uses worst-case catalog estimates with account COGS from account-cogs.json; npm run pricing:sync refreshes neuron rates."},{"path":"/v1/embed/embeddinggemma-300m","method":"POST","model":"@cf/google/embeddinggemma-300m","kind":"embed","tags":["embeddings","rag","translate","nlp","usdc","multi-chain","embed"],"prominence":"standard","shard":"embed","origin":"https://embed.gedx402.com","url":"https://embed.gedx402.com/v1/embed/embeddinggemma-300m","summary":"Embeddinggemma 300m Embeddings","description":"Generate text embeddings with Embeddinggemma 300m (@cf/google/embeddinggemma-300m). POST text or texts[] for semantic search, RAG retrieval, and clustering; billed by input character volume. Identical POSTs within 300s return cached JSON with X-GED-Cache: hit and no second x402 charge after the first paid populate.","floor_usd":0.001,"price_usd":0.0020825,"price_display":"$0.0021","estimated_neurons":3,"worst_case_price_usd":0.0029625,"worst_case_price_display":"$0.0030","middleware_price_note":"402 uses worst-case catalog estimates with account COGS from account-cogs.json; npm run pricing:sync refreshes neuron rates."},{"path":"/v1/embed/large","method":"POST","model":"@cf/baai/bge-large-en-v1.5","kind":"embed","tags":["embeddings","rag","translate","nlp","usdc","multi-chain","embed"],"prominence":"standard","shard":"embed","origin":"https://embed.gedx402.com","url":"https://embed.gedx402.com/v1/embed/large","summary":"Text Embeddings (large)","description":"Generate text embeddings with BGE Large EN V1.5 (@cf/baai/bge-large-en-v1.5). POST text or texts[] for semantic search, RAG retrieval, and clustering; billed by input character volume. Identical POSTs within 300s return cached JSON with X-GED-Cache: hit and no second x402 charge after the first paid populate.","floor_usd":0.005,"price_usd":0.005,"price_display":"$0.0050","estimated_neurons":38,"worst_case_price_usd":0.018362499999999997,"worst_case_price_display":"$0.018","middleware_price_note":"402 uses worst-case catalog estimates with account COGS from account-cogs.json; npm run pricing:sync refreshes neuron rates."},{"path":"/v1/embed/plamo-embedding-1b","method":"POST","model":"@cf/pfnet/plamo-embedding-1b","kind":"embed","tags":["embeddings","rag","translate","nlp","usdc","multi-chain","embed"],"prominence":"standard","shard":"embed","origin":"https://embed.gedx402.com","url":"https://embed.gedx402.com/v1/embed/plamo-embedding-1b","summary":"Plamo Embedding 1B Embeddings","description":"Generate text embeddings with Plamo Embedding 1B (@cf/pfnet/plamo-embedding-1b). POST text or texts[] for semantic search, RAG retrieval, and clustering; billed by input character volume. Identical POSTs within 300s return cached JSON with X-GED-Cache: hit and no second x402 charge after the first paid populate.","floor_usd":0.002,"price_usd":0.00211,"price_display":"$0.0021","estimated_neurons":4,"worst_case_price_usd":0.0035125,"worst_case_price_display":"$0.0035","middleware_price_note":"402 uses worst-case catalog estimates with account COGS from account-cogs.json; npm run pricing:sync refreshes neuron rates."},{"path":"/v1/embed/qwen3-embedding-0.6b","method":"POST","model":"@cf/qwen/qwen3-embedding-0.6b","kind":"embed","tags":["embeddings","rag","translate","nlp","usdc","multi-chain","embed"],"prominence":"standard","shard":"embed","origin":"https://embed.gedx402.com","url":"https://embed.gedx402.com/v1/embed/qwen3-embedding-0.6b","summary":"QWEN3 Embedding 0.6B Embeddings","description":"Generate text embeddings with QWEN3 Embedding 0.6B (@cf/qwen/qwen3-embedding-0.6b). POST text or texts[] for semantic search, RAG retrieval, and clustering; billed by input character volume. Identical POSTs within 300s return cached JSON with X-GED-Cache: hit and no second x402 charge after the first paid populate.","floor_usd":0.001,"price_usd":0.0020825,"price_display":"$0.0021","estimated_neurons":3,"worst_case_price_usd":0.0029625,"worst_case_price_display":"$0.0030","middleware_price_note":"402 uses worst-case catalog estimates with account COGS from account-cogs.json; npm run pricing:sync refreshes neuron rates."},{"path":"/v1/classify/image","method":"POST","model":"@cf/microsoft/resnet-50","kind":"classify","tags":["embeddings","rag","translate","nlp","usdc","multi-chain","classify"],"prominence":"standard","shard":"embed","origin":"https://embed.gedx402.com","url":"https://embed.gedx402.com/v1/classify/image","summary":"Image Classification","description":"Classify images with Resnet 50 (@cf/microsoft/resnet-50). POST base64 image data; returns ranked labels and scores.","floor_usd":0.001,"price_usd":0.0020275000000000002,"price_display":"$0.0020","estimated_neurons":1,"worst_case_price_usd":0.0020275000000000002,"worst_case_price_display":"$0.0020","middleware_price_note":"402 uses worst-case catalog estimates with account COGS from account-cogs.json; npm run pricing:sync refreshes neuron rates."},{"path":"/v1/rerank","method":"POST","model":"@cf/baai/bge-reranker-base","kind":"rerank","tags":["embeddings","rag","translate","nlp","usdc","multi-chain","rerank"],"prominence":"standard","shard":"embed","origin":"https://embed.gedx402.com","url":"https://embed.gedx402.com/v1/rerank","summary":"Document Reranking","description":"Rerank documents against a query with BGE Reranker Base (@cf/baai/bge-reranker-base). POST query plus documents[]; returns relevance scores for search and RAG pipelines.","floor_usd":0.002,"price_usd":0.0020275000000000002,"price_display":"$0.0020","estimated_neurons":1,"worst_case_price_usd":0.002275,"worst_case_price_display":"$0.0023","middleware_price_note":"402 uses worst-case catalog estimates with account COGS from account-cogs.json; npm run pricing:sync refreshes neuron rates."},{"path":"/v1/sentiment","method":"POST","model":"@cf/huggingface/distilbert-sst-2-int8","kind":"classify","tags":["embeddings","rag","translate","nlp","usdc","multi-chain","classify"],"prominence":"standard","shard":"embed","origin":"https://embed.gedx402.com","url":"https://embed.gedx402.com/v1/sentiment","summary":"Sentiment Analysis","description":"Classify sentiment (positive/negative) with DistilBERT. POST text; returns label and confidence score. Fixed low per-request price.","floor_usd":0.002,"price_usd":0.007500000000000001,"price_display":"$0.0075","estimated_neurons":200,"worst_case_price_usd":0.007500000000000001,"worst_case_price_display":"$0.0075","middleware_price_note":"402 uses worst-case catalog estimates with account COGS from account-cogs.json; npm run pricing:sync refreshes neuron rates."},{"path":"/v1/summarize","method":"POST","model":"@cf/meta/llama-3.2-3b-instruct","kind":"summarize","tags":["embeddings","rag","translate","nlp","usdc","multi-chain","summarize"],"prominence":"standard","shard":"embed","origin":"https://embed.gedx402.com","url":"https://embed.gedx402.com/v1/summarize","summary":"Text Summarization","description":"Summarize long text with Llama 3.2 3B Instruct (@cf/meta/llama-3.2-3b-instruct). POST input text; returns a concise summary. Price scales with input and output length.","floor_usd":0.004,"price_usd":0.004,"price_display":"$0.0040","estimated_neurons":18,"worst_case_price_usd":0.0064824999999999995,"worst_case_price_display":"$0.0065","middleware_price_note":"402 uses worst-case catalog estimates with account COGS from account-cogs.json; npm run pricing:sync refreshes neuron rates."},{"path":"/v1/summarize/bart","method":"POST","model":"@cf/facebook/bart-large-cnn","kind":"summarize","tags":["embeddings","rag","translate","nlp","usdc","multi-chain","summarize"],"prominence":"standard","shard":"embed","origin":"https://embed.gedx402.com","url":"https://embed.gedx402.com/v1/summarize/bart","summary":"Text Summarization (BART)","description":"Summarize long text with Bart Large CNN (@cf/facebook/bart-large-cnn). POST input text; returns a concise summary. Price scales with input and output length.","floor_usd":0.004,"price_usd":0.004,"price_display":"$0.0040","estimated_neurons":32,"worst_case_price_usd":0.012505,"worst_case_price_display":"$0.013","middleware_price_note":"402 uses worst-case catalog estimates with account COGS from account-cogs.json; npm run pricing:sync refreshes neuron rates."},{"path":"/v1/translate/indic","method":"POST","model":"@cf/ai4bharat/indictrans2-en-indic-1B","kind":"translate","tags":["embeddings","rag","translate","nlp","usdc","multi-chain"],"prominence":"standard","shard":"embed","origin":"https://embed.gedx402.com","url":"https://embed.gedx402.com/v1/translate/indic","summary":"Indic Translation","description":"Translate text with Indictrans2 EN Indic 1B (@cf/ai4bharat/indictrans2-en-indic-1B). POST source text and target language; returns translated_text with dynamic token pricing.","floor_usd":0.004,"price_usd":0.004,"price_display":"$0.0040","estimated_neurons":32,"worst_case_price_usd":0.012505,"worst_case_price_display":"$0.013","middleware_price_note":"402 uses worst-case catalog estimates with account COGS from account-cogs.json; npm run pricing:sync refreshes neuron rates."}],"route_count":15,"catalog_version":6}