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Every LLM has a knowledge cutoff. Your Agent doesn’t know what happened after its training data ended.

The solution? Give it a search tool.

TalorData SERP API + LangChain = Agents that search the live web.

⚡ One API for Google, Bing, Yandex, DuckDuckGo 📊 Clean JSON — no HTML parsing 💰 Pay only for successful requests 🎯 Agent decides when to search — not every query needs it

Real example: An 80-line Python research agent that searches Google for current events and synthesizes answers with real sources. No proxy pools. No CAPTCHAs. No parsing headaches.

🎁 1,000 free requests → https://talordata.com/?campaignid=v7TZNd8DfqmlfAP9&utm_source=tumblr&utm_term=tumblr

We built TalorData for rank tracking. Our users had other plans.

🤖 AI Agents — LangChain + MCP = Claude searches the web 🧠 RAG pipelines — real-time retrieval, not static docs 📊 Competitor monitoring — 200 keywords/day, fully automated 💼 Sales prospecting — finding leads through search data 🛒 E-commerce intel — prices, products, reviews at scale 📈 Programmatic SEO — content planning with real SERP data

We didn't plan all of these. Our users found them.

🔗 https://talordata.com/?campaignid=v7TZNd8DfqmlfAP9&utm_source=tumblr&utm_term=tumblr

Google · Bing · Yandex · DuckDuckGo

Structured JSON. Sub-second latency. Pay only for successful requests. Built for AI agents, RAG, and SEO automation.

💡 Try it free: https://talordata.com/?campaignid=v7TZNd8DfqmlfAP9&utm_source=tumblr&utm_term=tumblr

After one too many "SERP API" bills for calls that returned nothing — rate-limited, blocked, empty — my team and I built Talordata: a raw SERP API (Google / Bing / Yandex / DuckDuckGo) + a 70M+ residential proxy network (195+ locations), billed only on successful responses. $0.25–$1.00 per 1K calls.