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Documentation Index

Fetch the complete documentation index at: https://developers.explorium.ai/llms.txt

Use this file to discover all available pages before exploring further.

To help track and manage usage on our platform, we measure consumption in credits. A credit is defined as one of the following:
  1. An enriched row
  2. A generated row
  3. A predicted row
Consumption can occur through downloads, API calls, or batch jobs.

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Platform Consumption Breakdown

Enrich Module: When you upload tabular data to the platform and enrich it with external data, each enriched row will consume one credit upon export. Generate Module: Data generated based on your search criteria will consume one credit per generated row upon export. Predict Module: Uploading tabular data for predictions (Using the predict step) will consume one credit for each predicted row upon export.

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Consumption operation

Consumption occurs through three primary methods:
NoteConsumption is counted only after the following operations. Recipe operations on their own doesn’t trigger consumption.
Downloads: When you download enriched, generated, or predicted data from the platform, the consumption will be counted in credits accordingly. API Calls: Consumption will also be counted in credits when you make API calls to enrich, generate, or predict data. Batch Jobs: If you’re running scheduled or ad-hoc batch jobs for enrichment, generation, or prediction, the consumption will be counted in credits based on the number of rows processed.