← The evidence ledger
Evidence row 2199
Observed , by baseline/1.
- Kind
- listing
- About
- source_record agentic_market:embed-gedx402-com
- Recorded
- Previous row
- None: the first of its kind about this subject
- Body SHA-256
- 0d57738dd805bfa9ce9f4e33ddd66efcf53b351835923300d42d7fb830fcbf27
- Leaf
- 0x9be42940b22a5758684aaa89eb87d5b1ab9be2b1ab75ed26c72f5c33b20b6bf2
What was observed
{
"endpoints": [
[
"x402",
"https://embed.gedx402.com/v1/embed"
],
[
"x402",
"https://embed.gedx402.com/v1/embed/:model"
],
[
"x402",
"https://embed.gedx402.com/v1/embed/large"
],
[
"x402",
"https://embed.gedx402.com/v1/embed/ping"
],
[
"x402",
"https://embed.gedx402.com/v1/embed/small"
],
[
"x402",
"https://embed.gedx402.com/v1/rerank"
],
[
"x402",
"https://embed.gedx402.com/v1/sentiment"
],
[
"x402",
"https://embed.gedx402.com/v1/summarize"
],
[
"x402",
"https://embed.gedx402.com/v1/translate"
],
[
"x402",
"https://embed.gedx402.com/v1/translate/indic"
]
],
"name": "embed.gedx402.com",
"owner_address": null,
"raw": {
"caip2_networks": [
"eip155:137",
"eip155:42161",
"eip155:480",
"eip155:8453",
"solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp"
],
"category": "",
"description": "",
"domain": "embed.gedx402.com",
"endpoints": [
{
"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.",
"method": "POST",
"parameters": [
{
"default": null,
"description": "",
"enumValues": [],
"example": "Workers AI embeddings for RAG and semantic search.",
"group": "body",
"name": "text",
"required": false,
"type": "string"
}
],
"pricing": {
"amount": "0.0073",
"currency": "USDC",
"maxAmount": "",
"minAmount": "",
"network": "eip155:8453",
"scheme": "exact"
},
"providerName": "",
"quality": null,
"serviceName": "GEDX402 Knowledge",
"tags": [
"embeddings",
"rag",
"translate",
"nlp",
"usdc"
],
"url": "https://embed.gedx402.com/v1/embed"
},
{
"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.",
"method": "POST",
"parameters": [
{
"default": null,
"description": "",
"enumValues": [],
"example": "Workers AI embeddings for RAG and semantic search.",
"group": "body",
"name": "text",
"required": false,
"type": "string"
}
],
"pricing": {
"amount": "0.003",
"currency": "USDC",
"maxAmount": "",
"minAmount": "",
"network": "eip155:8453",
"scheme": "exact"
},
"providerName": "",
"quality": null,
"serviceName": "GEDX402 Knowledge",
"tags": [
"embeddings",
"rag",
"translate",
"nlp",
"usdc"
],
"url": "https://embed.gedx402.com/v1/embed/:model"
},
{
"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.",
"method": "POST",
"parameters": [
{
"default": null,
"description": "",
"enumValues": [],
"example": "Workers AI embeddings for RAG and semantic search.",
"group": "body",
"name": "text",
"required": false,
"type": "string"
}
],
"pricing": {
"amount": "0.018",
"currency": "USDC",
"maxAmount": "",
"minAmount": "",
"network": "eip155:8453",
"scheme": "exact"
},
"providerName": "",
"quality": null,
"serviceName": "GEDX402 Knowledge",
"tags": [
"embeddings",
"rag",
"translate",
"nlp",
"usdc"
],
"url": "https://embed.gedx402.com/v1/embed/large"
},
{
"description": "Entry probe — $0.0036 USDC per request. POST { text: \"ping\" } for x402 settlement and 384-dim vector. Agent search: embed ping, entry probe, x402 probe.",
"method": "POST",
"parameters": [
{
"default": null,
"description": "",
"enumValues": [],
"example": "ping",
"group": "body",
"name": "text",
"required": false,
"type": "string"
}
],
"pricing": {
"amount": "0.0036",
"currency": "USDC",
"maxAmount": "",
"minAmount": "",
"network": "eip155:8453",
"scheme": "exact"
},
"providerName": "",
"quality": null,
"serviceName": "GEDX402 Knowledge",
"tags": [
"embeddings",
"rag",
"translate",
"nlp",
"usdc"
],
"url": "https://embed.gedx402.com/v1/embed/ping"
},
{
"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.",
"method": "POST",
"parameters": [
{
"default": null,
"description": "",
"enumValues": [],
"example": "Workers AI embeddings for RAG and semantic search.",
"group": "body",
"name": "text",
"required": false,
"type": "string"
}
],
"pricing": {
"amount": "0.0036",
"currency": "USDC",
"maxAmount": "",
"minAmount": "",
"network": "eip155:8453",
"scheme": "exact"
},
"providerName": "",
"quality": null,
"serviceName": "GEDX402 Knowledge",
"tags": [
"embeddings",
"rag",
"translate",
"nlp",
"usdc"
],
"url": "https://embed.gedx402.com/v1/embed/small"
},
{
"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.",
"method": "POST",
"parameters": [
{
"default": null,
"description": "",
"enumValues": [],
"example": [],
"group": "body",
"name": "contexts",
"required": false,
"type": "array"
},
{
"default": null,
"description": "",
"enumValues": [],
"example": "RAG?",
"group": "body",
"name": "query",
"required": false,
"type": "string"
},
{
"default": null,
"description": "",
"enumValues": [],
"example": 2,
"group": "body",
"name": "top_k",
"required": false,
"type": "number"
}
],
"pricing": {
"amount": "0.0023",
"currency": "USDC",
"maxAmount": "",
"minAmount": "",
"network": "eip155:8453",
"scheme": "exact"
},
"providerName": "",
"quality": {
"l30DaysTotalCalls": "2",
"l30DaysUniquePayers": "2"
},
"serviceName": "GEDX402 Knowledge",
"tags": [
"embeddings",
"rag",
"translate",
"nlp",
"usdc"
],
"url": "https://embed.gedx402.com/v1/rerank"
},
{
"description": "Classify sentiment (positive/negative) with DistilBERT. POST text; returns label and confidence score. Fixed low per-request price.",
"method": "POST",
"parameters": [
{
"default": null,
"description": "",
"enumValues": [],
"example": "I love this!",
"group": "body",
"name": "text",
"required": false,
"type": "string"
}
],
"pricing": {
"amount": "0.0075",
"currency": "USDC",
"maxAmount": "",
"minAmount": "",
"network": "eip155:8453",
"scheme": "exact"
},
"providerName": "",
"quality": {
"l30DaysTotalCalls": "2",
"l30DaysUniquePayers": "2"
},
"serviceName": "GEDX402 Knowledge",
"tags": [
"embeddings",
"rag",
"translate",
"nlp",
"usdc"
],
"url": "https://embed.gedx402.com/v1/sentiment"
},
{
"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.",
"method": "POST",
"parameters": [
{
"default": null,
"description": "",
"enumValues": [],
"example": 128,
"group": "body",
"name": "max_length",
"required": false,
"type": "number"
},
{
"default": null,
"description": "",
"enumValues": [],
"example": "Long article to summarize...",
"group": "body",
"name": "text",
"required": false,
"type": "string"
}
],
"pricing": {
"amount": "0.0065",
"currency": "USDC",
"maxAmount": "",
"minAmount": "",
"network": "eip155:8453",
"scheme": "exact"
},
"providerName": "",
"quality": null,
"serviceName": "GEDX402 Knowledge",
"tags": [
"embeddings",
"rag",
"translate",
"nlp",
"usdc"
],
"url": "https://embed.gedx402.com/v1/summarize"
},
{
"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.",
"method": "POST",
"parameters": [
{
"default": null,
"description": "",
"enumValues": [],
"example": "en",
"group": "body",
"name": "source_lang",
"required": false,
"type": "string"
},
{
"default": null,
"description": "",
"enumValues": [],
"example": "es",
"group": "body",
"name": "target_lang",
"required": false,
"type": "string"
},
{
"default": null,
"description": "",
"enumValues": [],
"example": "Hello",
"group": "body",
"name": "text",
"required": false,
"type": "string"
}
],
"pricing": {
"amount": "0.01",
"currency": "USDC",
"maxAmount": "",
"minAmount": "",
"network": "eip155:8453",
"scheme": "exact"
},
"providerName": "",
"quality": null,
"serviceName": "GEDX402 Knowledge",
"tags": [
"translate",
"m2m",
"winner",
"competitive",
"translation"
],
"url": "https://embed.gedx402.com/v1/translate"
},
{
"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.",
"method": "POST",
"parameters": [
{
"default": null,
"description": "",
"enumValues": [],
"example": "en",
"group": "body",
"name": "source_lang",
"required": false,
"type": "string"
},
{
"default": null,
"description": "",
"enumValues": [],
"example": "es",
"group": "body",
"name": "target_lang",
"required": false,
"type": "string"
},
{
"default": null,
"description": "",
"enumValues": [],
"example": "Hello",
"group": "body",
"name": "text",
"required": false,
"type": "string"
}
],
"pricing": {
"amount": "0.013",
"currency": "USDC",
"maxAmount": "",
"minAmount": "",
"network": "eip155:8453",
"scheme": "exact"
},
"providerName": "",
"quality": null,
"serviceName": "GEDX402 Knowledge",
"tags": [
"embeddings",
"rag",
"translate",
"nlp",
"usdc"
],
"url": "https://embed.gedx402.com/v1/translate/indic"
}
],
"enriched": false,
"iconUrl": "",
"id": "embed-gedx402-com",
"integrationType": "",
"isNew": false,
"name": "embed.gedx402.com",
"networks": [
"Base",
"eip155:137",
"eip155:42161",
"eip155:480",
"solana:5eykt4usfv8p8njdtrepy1vzqkqzkvdp"
],
"priceSummary": {
"avgCostBasis": "exact",
"avgCostPerTransaction": "0.00748",
"currency": "USDC",
"maxAmount": "0.018",
"minAmount": "0.0023"
},
"provider": "embed.gedx402.com",
"providerUrl": "",
"serviceName": "GEDX402 Knowledge",
"tags": [
"embeddings",
"rag",
"translate",
"nlp",
"usdc",
"m2m",
"winner",
"competitive",
"translation"
]
},
"source": "agentic_market",
"summary": ""
}What the leaf hashes
{"body":"0d57738dd805bfa9ce9f4e33ddd66efcf53b351835923300d42d7fb830fcbf27","id":2199,"kind":"listing","method":"baseline/1","observed_us":1793025261433066,"prev":null,"subject":"agentic_market:embed-gedx402-com","subject_kind":"source_record"}Proof
Its day has not closed yet. A day closes ten minutes after midnight UTC; the proof appears here then.