You get $10 in credits to test iGPT—no credit card needed. That's enough runway to see if this email intelligence API solves your retrieval problem (or just creates another layer to manage).
iGPT turns email conversations and attachments into structured data AI agents can actually use. Skip building your own parsing pipeline. Skip wrestling with chunking strategies. Send a natural language query to one endpoint. It handles semantic search, keyword matching, thread reconstruction, and attachment extraction in a single call.
PDFs get parsed. Spreadsheets get structured. Email threads get rebuilt across participants and time. Answers come back with citations linking to source messages.
For a support engineer building a copilot? This could replace weeks of infrastructure work. Thread reconstruction alone is a nightmare to build in-house. iGPT does it automatically—then throws in context optimization for whatever LLM you're feeding. The Context Engineering Framework adjusts quality tiers without you tuning prompts every time your data changes.
Real appeal here: the zero retention model. Everything processes in memory. OAuth handles access control. Your data never trains their models. That matters if you're dealing with compliance workflows or customer support at scale.
Retrieval runs around 200ms. First token hits in roughly 3 seconds. Fast enough for most agent workflows (but not instant if latency is critical).
Worth switching if you're tired of maintaining your own email parsing infrastructure. Less compelling if you've already got a working system and tight margins on API costs.
