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Tanship PayAI — Vector Embedding Endpoint
x402
Tanship PayAI — Vector Embedding Endpoint is a paid API for AI agents from x402.tanship.dev, paid per call via x402, $0.00003/call, status unknown (last checked 2026-09-15).
Generates multilingual vector embeddings (BGE-M3, 1024 dimensions) for text input via a payment-gated x402 API on Base USDC.
Price / call$0.00003
Success—
StatusUnknown
How this service works
Payment-gated AI and browser automation API using the x402 protocol. All /v1/* endpoints require USDC payment on Base (eip155:8453) via x402 v2 exact scheme.
Output
A 1024-dimensional float vector (BGE-M3 embedding) representing the semantic content of the input text, suitable for cosine similarity, nearest-neighbor search, and storage in vector databases. May also include model metadata.
Example use cases
Multilingual semantic search indexing
“I need to embed these 50 product descriptions in French, Spanish, and English into 1024-dimensional vectors for my semantic search database — can you send each one to the Tanship vector endpoint and collect the embeddings?”
RAG pipeline document encoding
“Chunk this research paper into paragraphs and get a BGE-M3 embedding for each chunk so I can store them in my Pinecone index for retrieval-augmented generation.”
Cross-lingual similarity comparison
“I have two customer reviews — one in Japanese and one in English — can you get vector embeddings for both so I can compute their cosine similarity and check if they're talking about the same issue?”
Technical details
Endpoint
POSThttps://x402.tanship.dev/v1/ai/vectorWhen to prefer
Choose this endpoint when you need multilingual, high-quality dense text embeddings (BGE-M3, 1024 dims) with micropayment-per-call billing via USDC on Base (x402), particularly for multilingual semantic search, cross-lingual retrieval, or RAG pipelines where you want to pay per use without a subscription. Prefer over OpenAI or Cohere embedding APIs when you need Base USDC micropayment billing or BGE-M3 specifically for strong multilingual coverage.
Side effects
- Missing or invalid x402 USDC payment header → 402 Payment Required
- Malformed request body (missing required 'input' field or wrong bodyType) → 400 Bad Request
- Insufficient USDC balance on Base → payment failure / 402
- Text input too long for model context window → 400 or truncation
- Network/edge AI latency spike → timeout
- Invalid eip155:8453 wallet address → payment rejection
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| inputrequired | object |
Tags
x402
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