ChatGPT Plugin

Epsilo

Retail media ads, answered

Brand: Epsilo

Category: Marketing
Primary Subcategory: Cloud Data Warehouses & Query Engines

Integration details

Description

Epsilo connects your retail media advertising across Shopee, Lazada, TikTok Shop and other networks into one dataset, and this plugin lets ChatGPT answer questions on it. Ask which ad accounts spent the most last week and at what ROAS, compare marketplaces, list campaigns with their status and daily budget, look up how a metric is calculated, or get step-by-step help using Epsilo One. The plugin is read-only: it cannot change budgets, pause campaigns or edit anything, and every query is limited to the workspaces and ad accounts your Epsilo login can already see. Sign in with your Epsilo account.

Integration type: Plugin
Verification status: Not applicable
Platform: ChatGPT
Category: Marketing
Primary Subcategory: Cloud Data Warehouses & Query Engines
Secondary Subcategories: None listed
Brand: Epsilo
Access: Account required
First tracked: 2026-11-04
Tool count: 6
Market: US

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Primary Subcategory

Competing in ChatGPT Cloud Data Warehouses & Query Engines

View Category

Listed in alphabetical order

Primary Subcategory

AltertableComing soonGet notified

AWS Data AnalyticsComing soonGet notified

BLS OEWS by 1102toolsComing soonGet notified

ClickHouseComing soonGet notified

EpsiloComing soonGet notified

MotherDuckComing soonGet notified

SORACOM QueryComing soonGet notified

Tools

6 tools agents can invoke

Describes one dataset: its fields and their roles, joins, available metrics and annotations. Catalog names are plural (`ads_campaigns`, `ads_objects`, `ads_placements`, `storefront`). Ad keywords are `ads_placements` (name = the keyword); `ads_keywords` is Flipkart only. An annotation with kind=hint names the performance dataset that holds the entity's time-series metrics, for example `ads_campaigns` -> `ads_campaigns_performance`.
describe_table
Searches the metric catalogue by name, code, dataset, dimension or timing. Returns each metric's definition, where it is stored, and the formula for derived (secondary) metrics.
find_metric
Lists the datasets available to the caller with their columns, data types and join keys. The optional `tables` filter limits the response to the named datasets.
get_database_schema
Lists every dimension (the grain data is reported at) with its master dataset, its performance dataset for time-series metrics, and synonyms that map everyday words ("campaigns", "ad units", "shops") to catalog names.
list_dimensions
Runs one read-only SQL SELECT over the caller's Epsilo advertising data across every connected marketplace and ad account, and returns the rows. Accepts one SELECT with joins, subqueries, WITH clauses, window functions and a top-level UNION over logical catalog names such as `storefront`, `ads_campaigns` and `ads_campaigns_performance`; the server maps them to physical tables and applies the caller's workspace and ad account permissions. A query on a campaign, ad, keyword or product performance dataset needs a created_datetime range. Rejected: EXCEPT, INTERSECT, SHOW, DESCRIBE, EXPLAIN, INFORMATION_SCHEMA, any write statement, more than one statement, and tables outside the catalog. Returns at most 1,000 rows (default 100).
query_database
Searches Epsilo's product documentation: navigation, screens, setup, campaigns, schedules and automations, data tables, exports, members and roles, integrations, billing, and what statuses and metrics mean. Returns the best-matching entry (steps, in-app links, help-center URLs) and the names of related entries; the optional `topic` parameter opens a related entry by name.
search_product_docs

FAQs

Epsilo ChatGPT Plugin FAQ

How the directory, categories and Discoverability Score work.

Read the methodology

How do I improve Epsilo's ChatGPT Plugin discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

What are Epsilo alternatives on ChatGPT?

As of 2026-11-04, Epsilo competes with Altertable, AWS Data Analytics, BLS OEWS by 1102tools, ClickHouse, MotherDuck, SORACOM Query in ChatGPT Cloud Data Warehouses & Query Engines, ranked by public Discoverability Score.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.