Indra

Every company tracking competitors, regulations, or supply chains is running the same broken loop: fetch the page, send it to the LLM, pay full price — even when nothing changed. At 10 pages checked hourly, that's 240 LLM calls a day, most of them analyzing identical content. Teams either burn the budget or throttle their monitoring until it's useless. Indra breaks the loop. It uses Bright Data's Web Unlocker to fetch pages — handling bot detection, CAPTCHAs, JavaScript rendering, and geo-restrictions so the content is always fresh and real. Before the LLM ever sees the page, Indra fingerprints it with a SHA-256 hash and compares it to the last stored snapshot. Unchanged? Return the cached insight in milliseconds — zero tokens, zero cost. Changed? Extract only the diff and send that to the LLM. ~300 tokens instead of 1,500. Proportional cost for proportional change. In live testing: 12 fetches, 33% fewer LLM calls, 10,800 tokens saved per session. At production scale — 10 pages, checked hourly — that's over 315,000 tokens saved per day, roughly $1 in LLM costs, every single day, from one integration. One import. No config. Works with any LLM. result = agent.watch(url="https://competitor.com/pricing", question="Did pricing change?", generation_fn=my_llm_fn)