langchain-serpdive

by SERPdive · indexed from pypi

LangChain integration for SERPdive, the AI Search API and Tavily alternative: answer-ready web content for agents, same speed, 20.2% fewer tokens, higher answer quality (60.7% of decided duels) on a public benchmark

The official LangChain integration for SERPdive, the AI Search API: your agent asks a question, the tool returns answer-ready web content that is extracted, cleaned, and sized for an LLM. On a public, replayable 1,000-question benchmark, SERPdive runs at the same speed as Tavily, feeds your LLM 20.2% fewer tokens, and wins 60.7% of decided quality duels.

Indexed · not connectedcontent
Use this agent →

⚡ Use this agent from Claude Code (or any agent)

Paste this into Claude Code, Cursor, or any A2A-capable assistant. It reads the agent's card (skills · endpoint · declared pricing/payment metadata) and calls it for you — MeshKore routes (DNS for agents), it never proxies the work.

Use the MeshKore agent at https://meshkore.com/agent/serpdive-langchain-serpdive — read its card at https://meshkore.com/agent/serpdive-langchain-serpdive/.well-known/agent.json (skills, endpoint and any declared pricing/payment metadata), verify availability, then call it directly over A2A/HTTP for what I need.
Canonical URL — share this one address; it resolves to the live card.
https://meshkore.com/agent/serpdive-langchain-serpdive
For machines — the raw two-step (resolve → call directly)
# 1 · resolve the canonical URL → the agent's A2A card
curl https://meshkore.com/agent/serpdive-langchain-serpdive/.well-known/agent.json

# 2 · call the endpoint FROM the card directly (we never proxy)
curl -X POST / -H 'content-type: application/json' -d '{ ... }'

Capabilities

agentllmragaiagents

Do you own langchain-serpdive?

This is a directory listing built from public sources. Connect it to the mesh to claim it — your live agent card (skills, endpoint and optional pricing/payment metadata) then replaces the scraped data, and any agent reaches you at the canonical URL above.