Email intelligence API for agents and enterprise workflows

Email is where real work happens, and where most AI breaks. iGPT turns email conversations and attachments into trusted, context-aware answers

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How it works

The fastest path to real email context

Immediate integration

SDK and live playground to test requests and responses quickly.

Connect email sources

iGPT deeply indexes emails and attachment data automatically.

One unified endpoint

Send a single request that runs retrieval, context shaping, and reasoning in one pipeline.

Contextual responses

Responses are ready for reasoning and automation, with citations to the source.

Ship agents

No parsing, chunking, indexing, or prompt tuning to maintain.

Why iGPT

Build with context in a single unified call

curl -X POST https://api.igpt.ai/v1/recall/ask/ \
    -H "Content-Type: application/json" \
    -H "Authorization: Bearer $IGPT_API_KEY" \
    -d '{
        "user": "user_123",
        "input": "Open action items from yesterday’s board meeting",
        "stream": false,
        "quality": "cef-1-normal",
        "output_format": { 
            "schema": {
                ...
            } 
        }
    }'

from igpt import IGPTClient
from schemas.action_items import ACTION_ITEMS_SCHEMA
import os

client = IGPTClient(
    api_key=os.environ["IGPT_API_KEY"],
    user="user_123"
)

response = client.ask(
    input="Open action items from yesterday’s board meeting",
    stream=False,
    quality="cef-1-normal",
    output_format=ACTION_ITEMS_SCHEMA
)

print(response)

{
  "schema": {
    "type": "object",
    "properties": {
      "action_items": {
        "type": "array",
        "description": "List of action items",
        "items": {
          "type": "object",
          "properties": {
            "title": {
              "type": "string",
              "description": "Short summary of the action item"
            },
            "owner": {
              "type": "string",
              "description": "Person responsible for the action item"
            },
            "due_date": {
              "type": "string",
              "format": "date",
              "description": "Expected completion date"
            }
          },
          "required": [
            "title",
            "owner",
            "due_date"
          ],
          "additionalProperties": false
        }
      }
    },
    "required": ["action_items"],
    "additionalProperties": false
  }
}

Input

No parsing, no vector stores, no prompt chains. Just call the API.

Read docs

Response.json

{
    "action_items": [
        {
        "title": "Approve revised Q1 budget allocation",
        "owner": "Dvir Ben-Aroya",
        "due_date": "2026-01-15",
      },
      {
        "title": "Approve final FY2026 strategic priorities",
        "owner": "Board of Directors",
        "due_date": "2026-01-31",
      },
      ...
    ]
}