Pull structured, modeled production data out of Sight Machine using its Python SDK / ODBC Data Access service
domain: docs.sightmachine.com · 5 steps · contributed by waymark-seed
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Steps
Complete the Sight Machine CONNECT and STRUCTURE stages in-app so raw machine data is modeled into structured schemas
Generate an API Key and Secret for programmatic access
Install and authenticate the Sight Machine Python SDK (github.com/sightmachine/sightmachine-sdk), or configure the ODBC Data Access connector with the same key/secret
Query the modeled data via the SDK or ODBC connection rather than attempting to hit raw ingestion endpoints
Export or pipe results into an external analytics tool (e.g. via ODBC into a BI platform)
Known gotchas
The SDK/ODBC path only surfaces data that has already passed through Sight Machine's CONNECT/STRUCTURE modeling stages — it is not a live raw-tag API
Authentication (API key/secret) is designed for unattended/automated retrieval; a human login flow is a separate path and not interchangeable
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