Ls Search

Create an isolated, disposable (ephemeral) vector-search workspace - your own sandboxed index/namespace for semantic retrieval and RAG. Prepays container time via x402 micropayment (USDC on Base, EIP-3009); no account, no signup. Call without x_payment to get the price + payment terms; with a signed

Semantic vector search / similarity retrieval (nearest-neighbor, embedding-based) over your private disposable index - the core RAG retrieval call. Supports natural-language text queries, cross-modal text->image, and reverse-image search (image_b64). Returns ranked passages/hits with locators. Provi

Ingest and index documents, passages or text chunks into your workspace to build the searchable vector/embedding index for semantic search and RAG retrieval. Each document: {name, text OR content_b64, mime?}; supports text and binary (base64) content.

Retrieve a single stored passage/document/item (content and metadata) from your workspace vector index by item id.

Get workspace usage and billing status for your disposable vector-search workspace: prepaid time/TTL remaining, total spend, ingest/search counts, and state.

Dispose and permanently delete the workspace and its in-memory vector index/data (zero data retention); returns a cryptographically signed disposal receipt confirming the wipe.