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📊 Intel view 📋 Audit JSON 🔄 Changelog
85
💰 Paid API

embed.gedx402.com

embed.gedx402.com · embed.gedx402.com

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.

🛡
Own this agent?
Verify the domain embed.gedx402.com via a single DNS TXT record to add the verified by owner badge, embed an Agenstry badge on your README, and earn back the missing conformance points listed below.
Verify ownership
🔔 Watch this agent for changes. Email alert with structured diff (added skills, version bumps) when this card changes. Enterprise feature. Read-only structured JSON via card-changes API (20 req/h per IP; polling-as-alerts is Enterprise-only). Sign in to subscribe
Trust score
19/100
grade F · 9 criteria
Uptime
accumulating
1/5 probes
Revenue · 30d
$0.00
wallet active · no inflow
Usage · 7d
0
no recent activity
Card drift · 7d
changed
0 snapshots tracked
Owner
unverified
claim this listing →
F
Conformance score: 19/100
F-grade: card is reachable but fails most operational signals.
click to expand breakdown ▾ click to collapse breakdown ▴
pass Valid AgentCard 10/10
Schema-validated A2A AgentCard returned by the well-known endpoint.
info Live JSON-RPC 0/25
Live probe hasn't run yet.
fail Protocol version 0/10
No protocolVersion in card.
How to earn +10 points
Declare protocolVersion
Add `"protocolVersion": "1.0"` to the AgentCard root. Without it, callers can't negotiate v0.x vs v1.0 compatibility.
Docs →
info JWS signature 0/10
Card is unsigned (most published agents are).
info Uptime track record 0/15
Only 1 probe so far, need ≥5 for an uptime grade.
fail Skill declaration 0/10
No skills declared in card. Hard to route to.
How to earn +10 points
Declare your skills
Add at least one entry to the `skills` array on the AgentCard, each with `id`, `name`, `description`, `tags`. We canonicalise these into the global skill taxonomy on next probe.
Docs →
partial Verified Identity 5/10
Provider declared: embed.gedx402.com (https://embed.gedx402.com). Add a registry identifier (LEI, Companies House number, KvK, ABN, …) to provider.legalEntity for full verified-business credit.
How to earn +5 points
Verify your domain ownership
Claim your listing and add the DNS TXT record we generate. Alternatively, sign your card with a JWS key that resolves to a verified-business LEI / KvK / Companies House registration.
Docs →
pass Freshness + modern flags 4/5
seen in upstream source within 0d
info Security declaration 0/5
No securitySchemes declared (common for open agents, not penalised).
⚠ Card drift detected. This agent's agent-card.json changed within the last 7 days. We track these so downstream callers can react.

Activity (audit trail)

last 24h · 0 calls Public aggregate · no PII recorded

No calls observed in the last 7 days. Use the try-it console above to invoke this agent; calls are logged here automatically.

Uptime
100.0%
1 probes
Response
0ms
last probe
Skills
0
declared
Streaming
—
SSE-capable

Endpoints

Pricing x402 on Base USDC
From $0.0023 per call
Endpoint Price Currency
https://embed.gedx402.com/v1/embed 0.0073 USDC
https://embed.gedx402.com/v1/embed/:model 0.003 USDC
https://embed.gedx402.com/v1/embed/large 0.018 USDC
https://embed.gedx402.com/v1/embed/ping 0.0036 USDC
https://embed.gedx402.com/v1/embed/small 0.0036 USDC
https://embed.gedx402.com/v1/rerank 0.0023 USDC
https://embed.gedx402.com/v1/sentiment 0.0075 USDC
https://embed.gedx402.com/v1/summarize 0.0065 USDC
https://embed.gedx402.com/v1/translate 0.01 USDC
https://embed.gedx402.com/v1/translate/indic 0.013 USDC
Try it ↗ Opens the operator's playground / docs in a new tab.
Settlement wallet: 0xb3c2776ce3f99cb3366520c27b4ac5d436942ab6 · basescan ↗
Agent cardhttps://embed.gedx402.com
Providerhttps://embed.gedx402.com
Docshttps://embed.gedx402.com
Discovered via
agentic_market

Health · last 0 probes

When HTTP Live JSON-RPC Latency

Similar agents embedding-nearest

social.gedx402.com
Social profile ingest via SociaVault on social.gedx402.com — POST { platform, handle? | user_id? | url? | channelId? | subreddit? } or GET ?
social.gedx402.com · q 85%
images-api.gedx402.com
Resize, fit, and transcode an image on images-api.gedx402.com. POST url or image_base64 with optional width, height, format (webp/jpeg/png/a
images-api.gedx402.com · q 85%
image.gedx402.com
Fast text-to-image with Flux 1 Schnell (@cf/black-forest-labs/flux-1-schnell). POST prompt and optional dimensions; returns base64 image out
image.gedx402.com · q 85%
verify.gedx402.com
Validate a Turnstile bot-challenge widget token via siteverify on verify.gedx402.com. POST token from the client widget and optional remotei
verify.gedx402.com · q 85%
db.gedx402.com
Single-hop SQL memory session on db.gedx402.com — one x402 payment prepays sql/exec write and sql/query read credits. POST optional budget {
db.gedx402.com · q 85%
gateway.gedx402.com
Frontier chat via env.AI.run(author/model) and unified billing credits — no operator BYOK keys. POST model slug (allowlisted) and messages[]
gateway.gedx402.com · q 85%

Embed your Agenstry badge

Paste any of these into your README, agent card, or marketing page. Each badge auto-updates and links back to this page.

Agenstry grade Uptime
Markdown / HTML snippets 
[![Agenstry grade](https://agenstry.com/badge/embed.gedx402.com.svg)](https://agenstry.com/agents/embed.gedx402.com)
[![Verified Business](https://agenstry.com/badge/embed.gedx402.com/identity.svg)](https://agenstry.com/agents/embed.gedx402.com)
[![Uptime](https://agenstry.com/badge/embed.gedx402.com/uptime.svg)](https://agenstry.com/agents/embed.gedx402.com)
[![A2A version](https://agenstry.com/badge/embed.gedx402.com/protocol.svg)](https://agenstry.com/agents/embed.gedx402.com)

Audit-grade evidence bundle

JSON snapshot for vendor-review files. Add ?sign=true for a JWS-signed envelope verifiable against our JWKS. See the methodology.

audit.json audit.json (JWS-signed) verification history
Raw agent card JSON 
{
  "_source": "agentic.market",
  "service": {
    "id": "embed-gedx402-com",
    "name": "embed.gedx402.com",
    "description": "M2M100 machine translation \u2014 one x402 payment on embed.gedx402.com. POST { text, source_lang, target_lang } \u2192 { 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.",
    "domain": "embed.gedx402.com",
    "provider": "embed.gedx402.com",
    "providerUrl": "",
    "category": "",
    "networks": [
      "Base",
      "eip155:137",
      "eip155:42161",
      "eip155:480",
      "solana:5eykt4usfv8p8njdtrepy1vzqkqzkvdp"
    ],
    "enriched": false,
    "endpoints": [
      {
        "url": "https://embed.gedx402.com/v1/embed",
        "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.",
        "pricing": {
          "amount": "0.0073",
          "currency": "USDC",
          "network": "eip155:8453",
          "scheme": "exact",
          "maxAmount": "",
          "minAmount": ""
        },
        "method": "POST",
        "providerName": "",
        "parameters": [
          {
            "group": "body",
            "name": "text",
            "type": "string",
            "description": "",
            "example": "Workers AI embeddings for RAG and semantic search.",
            "enumValues": [],
            "default": null,
            "required": false
          }
        ],
        "serviceName": "GEDX402 Knowledge",
        "tags": [
          "embeddings",
          "rag",
          "translate",
          "nlp",
          "usdc"
        ],
        "quality": {
          "l30DaysTotalCalls": "2",
          "l30DaysUniquePayers": "1"
        }
      },
      {
        "url": "https://embed.gedx402.com/v1/embed/:model",
        "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.",
        "pricing": {
          "amount": "0.003",
          "currency": "USDC",
          "network": "eip155:8453",
          "scheme": "exact",
          "maxAmount": "",
          "minAmount": ""
        },
        "method": "POST",
        "providerName": "",
        "parameters": [
          {
            "group": "body",
            "name": "text",
            "type": "string",
            "description": "",
            "example": "Workers AI embeddings for RAG and semantic search.",
            "enumValues": [],
            "default": null,
            "required": false
          }
        ],
        "serviceName": "GEDX402 Knowledge",
        "tags": [
          "embeddings",
          "rag",
          "translate",
          "nlp",
          "usdc"
        ],
        "quality": {
          "l30DaysTotalCalls": "8",
          "l30DaysUniquePayers": "1"
        }
      },
      {
        "url": "https://embed.gedx402.com/v1/embed/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.",
        "pricing": {
          "amount": "0.018",
          "currency": "USDC",
          "network": "eip155:8453",
          "scheme": "exact",
          "maxAmount": "",
          "minAmount": ""
        },
        "method": "POST",
        "providerName": "",
        "parameters": [
          {
            "group": "body",
            "name": "text",
            "type": "string",
            "description": "",
            "example": "Workers AI embeddings for RAG and semantic search.",
            "enumValues": [],
            "default": null,
            "required": false
          }
        ],
        "serviceName": "GEDX402 Knowledge",
        "tags": [
          "embeddings",
          "rag",
          "translate",
          "nlp",
          "usdc"
        ],
        "quality": {
          "l30DaysTotalCalls": "2",
          "l30DaysUniquePayers": "1"
        }
      },
      {
        "url": "https://embed.gedx402.com/v1/embed/ping",
        "description": "Agentic.Market entry probe \u2014 $0.0036 USDC per request. POST { text: \"ping\" } for a real x402 settlement and 384-dim vector; cheapest on-ramp before browser, RAG, or chat SKUs. Agent search: embed ping, entry probe, agentic market, x402 probe.",
        "pricing": {
          "amount": "0.0036",
          "currency": "USDC",
          "network": "eip155:8453",
          "scheme": "exact",
          "maxAmount": "",
          "minAmount": ""
        },
        "method": "POST",
        "providerName": "",
        "parameters": [
          {
            "group": "body",
            "name": "text",
            "type": "string",
            "description": "",
            "example": "ping",
            "enumValues": [],
            "default": null,
            "required": false
          }
        ],
        "serviceName": "GEDX402 Knowledge",
        "tags": [
          "embeddings",
          "rag",
          "translate",
          "nlp",
          "usdc"
        ],
        "quality": {
          "l30DaysTotalCalls": "21",
          "l30DaysUniquePayers": "1"
        }
      },
      {
        "url": "https://embed.gedx402.com/v1/embed/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.",
        "pricing": {
          "amount": "0.0036",
          "currency": "USDC",
          "network": "eip155:8453",
          "scheme": "exact",
          "maxAmount": "",
          "minAmount": ""
        },
        "method": "POST",
        "providerName": "",
        "parameters": [
          {
            "group": "body",
            "name": "text",
            "type": "string",
            "description": "",
            "example": "Workers AI embeddings for RAG and semantic search.",
            "enumValues": [],
            "default": null,
            "required": false
          }
        ],
        "serviceName": "GEDX402 Knowledge",
        "tags": [
          "embeddings",
          "rag",
          "translate",
          "nlp",
          "usdc"
        ],
        "quality": {
          "l30DaysTotalCalls": "5",
          "l30DaysUniquePayers": "2"
        }
      },
      {
        "url": "https://embed.gedx402.com/v1/rerank",
        "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.",
        "pricing": {
          "amount": "0.0023",
          "currency": "USDC",
          "network": "eip155:8453",
          "scheme": "exact",
          "maxAmount": "",
          "minAmount": ""
        },
        "method": "POST",
        "providerName": "",
        "parameters": [
          {
            "group": "body",
            "name": "contexts",
            "type": "array",
            "description": "",
            "example": [],
            "enumValues": [],
            "default": null,
            "required": false
          },
          {
            "group": "body",
            "name": "query",
            "type": "string",
            "description": "",
            "example": "RAG?",
            "enumValues": [],
            "default": null,
            "required": false
          },
          {
            "group": "body",
            "name": "top_k",
            "type": "number",
            "description": "",
            "example": 2,
            "enumValues": [],
            "default": null,
            "required": false
          }
        ],
        "serviceName": "GEDX402 Knowledge",
        "tags": [
          "embeddings",
          "rag",
          "translate",
          "nlp",
          "usdc"
        ],
        "quality": {
          "l30DaysTotalCalls": "2",
          "l30DaysUniquePayers": "1"
        }
      },
      {
        "url": "https://embed.gedx402.com/v1/sentiment",
        "description": "Classify sentiment (positive/negative) with DistilBERT on Workers AI. POST text; returns label and confidence score. Fixed low per-request price.",
        "pricing": {
          "amount": "0.0075",
          "currency": "USDC",
          "network": "eip155:8453",
          "scheme": "exact",
          "maxAmount": "",
          "minAmount": ""
        },
        "method": "POST",
        "providerName": "",
        "parameters": [
          {
            "group": "body",
            "name": "text",
            "type": "string",
            "description": "",
            "example": "I love this!",
            "enumValues": [],
            "default": null,
            "required": false
          }
        ],
        "serviceName": "GEDX402 Knowledge",
        "tags": [
          "embeddings",
          "rag",
          "translate",
          "nlp",
          "usdc"
        ],
        "quality": {
          "l30DaysTotalCalls": "2",
          "l30DaysUniquePayers": "1"
        }
      },
      {
        "url": "https://embed.gedx402.com/v1/summarize",
        "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.",
        "pricing": {
          "amount": "0.0065",
          "currency": "USDC",
          "network": "eip155:8453",
          "scheme": "exact",
          "maxAmount": "",
          "minAmount": ""
        },
        "method": "POST",
        "providerName": "",
        "parameters": [
          {
            "group": "body",
            "name": "max_length",
            "type": "number",
            "description": "",
            "example": 128,
            "enumValues": [],
            "default": null,
            "required": false
          },
          {
            "group": "body",
            "name": "text",
            "type": "string",
            "description": "",
            "example": "Long article to summarize...",
            "enumValues": [],
            "default": null,
            "required": false
          }
        ],
        "serviceName": "GEDX402 Knowledge",
        "tags": [
          "embeddings",
          "rag",
          "translate",
          "nlp",
          "usdc"
        ],
        "quality": {
          "l30DaysTotalCalls": "2",
          "l30DaysUniquePayers": "1"
        }
      },
      {
        "url": "https://embed.gedx402.com/v1/translate",
        "description": "M2M100 machine translation \u2014 one x402 payment on embed.gedx402.com. POST { text, source_lang, target_lang } \u2192 { 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.",
        "pricing": {
          "amount": "0.01",
          "currency": "USDC",
          "network": "eip155:8453",
          "scheme": "exact",
          "maxAmount": "",
          "minAmount": ""
        },
        "method": "POST",
        "providerName": "",
        "parameters": [
          {
            "group": "body",
            "name": "source_lang",
            "type": "string",
            "description": "",
            "example": "en",
            "enumValues": [],
            "default": null,
            "required": false
          },
          {
            "group": "body",
            "name": "target_lang",
            "type": "string",
            "description": "",
            "example": "es",
            "enumValues": [],
            "default": null,
            "required": false
          },
          {
            "group": "body",
            "name": "text",
            "type": "string",
            "description": "",
            "example": "Hello",
            "enumValues": [],
            "default": null,
            "required": false
          }
        ],
        "serviceName": "GEDX402 Knowledge",
        "tags": [
          "translate",
          "m2m",
          "winner",
          "competitive",
          "translation"
        ],
        "quality": {
          "l30DaysTotalCalls": "12",
          "l30DaysUniquePayers": "2"
        }
      },
      {
        "url": "https://embed.gedx402.com/v1/translate/indic",
        "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.",
        "pricing": {
          "amount": "0.013",
          "currency": "USDC",
          "network": "eip155:8453",
          "scheme": "exact",
          "maxAmount": "",
          "minAmount": ""
        },
        "method": "POST",
        "providerName": "",
        "parameters": [
          {
            "group": "body",
            "name": "source_lang",
            "type": "string",
            "description": "",
            "example": "en",
            "enumValues": [],
            "default": null,
            "required": false
          },
          {
            "group": "body",
            "name": "target_lang",
            "type": "string",
            "description": "",
            "example": "es",
            "enumValues": [],
            "default": null,
            "required": false
          },
          {
            "group": "body",
            "name": "text",
            "type": "string",
            "description": "",
            "example": "Hello",
            "enumValues": [],
            "default": null,
            "required": false
          }
        ],
        "serviceName": "GEDX402 Knowledge",
        "tags": [
          "embeddings",
          "rag",
          "translate",
          "nlp",
          "usdc"
        ],
        "quality": {
          "l30DaysTotalCalls": "1",
          "l30DaysUniquePayers": "1"
        }
      }
    ],
    "integrationType": "",
    "isNew": false,
    "priceSummary": {
      "minAmount": "0.0023",
      "maxAmount": "0.018",
      "avgCostPerTransaction": "0.00748",
      "avgCostBasis": "exact",
      "currency": "USDC"
    },
    "serviceName": "GEDX402 Knowledge",
    "tags": [
      "embeddings",
      "rag",
      "translate",
      "nlp",
      "usdc",
      "m2m",
      "winner",
      "competitive",
      "translation"
    ],
    "iconUrl": ""
  }
}