"How to find network logs similar to Postman API data scraping" matching MCP connectors:
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Data Oil is a multi-model database built for object storage. It uses a log-structured storage engine, snapshot isolation with optimistic commit, and a change feed from the write-ahead log. Its SQL dialect supports joins, window functions, CTEs, set operations, graph traversal and pattern matching. It has its own HNSW vector index and BM25 full-text index, and a write is searchable by keyword and vector as soon as it commits. Access is over HTTP, the PostgreSQL wire protocol (extended protocol). We have a founder's program available for projects which may be of interest https://dataoil.tech/founders.html if your interested lets chat ;)
Single-digit millisecond search across vectors and text. At any scale, for fraction of the cost. https://warpsearch.io/
Serverless hybrid search: full-text, vector and faceted search, in SQL, ES DSL, Solr and more.
Historical market memory for AI agents using semantic vector search across years of financial market data. Discover similar market regimes, price patterns, and market context for quantitative research and algorithmic trading.
A search engine that learns from feedback, over embeddings: one tool per API route.
Search and read Vector Panda docs: API operations, pricing, storage tiers, measured benchmarks.
Cloudflare Workers MCP server: embedding-search
Stateless NMI + cosine fusion with entropy-driven alpha calibration
Vector RAG store for Word/Excel/PDF/PowerPoint. Break-even pricing, $5 per 5,700 pages.
Search and SQL on object storage: full-text, vector and hybrid search plus SQL over your data.
Astra DB tools for agents: schema, find, vector search, guarded writes, and interactive views.
Operate your Vector Panda collections: search and upsert vectors, schema, measured indexes, exports.
- XataOAuthio.github.xataio
Xata MCP server lets AI agents interact with your Xata projects, and Postgres database branches.
