Fullmetrix

E-commerce sales analytics

Category: Data & Analytics
Primary Subcategory: Ecommerce Operations Platforms

Integration details

Description

Fullmetrix lets online store owners query their e-commerce analytics in plain language. It reports orders, gross sales, net revenue, taxes, shipping, items sold, and unique, new, and returning customers across all active stores in an organization. Results can be grouped by date, store, country, customer type, or order status over any date range, with per-organization revenue rules applied. Accounts with several organizations can target a specific one.

Integration type: Plugin
Verification status: Not applicable
Platform: ChatGPT
Category: Data & Analytics
Primary Subcategory: Ecommerce Operations Platforms
Secondary Subcategories: None listed
Brand: Fullmetrix
Access: Account required
First tracked: 2026-06-12
Tool count: 4
Geography: US

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Primary Subcategory

Competing in ChatGPT Self-Serve BI & Conversational Analytics

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Tools

4 tools agents can invoke

Interroge les données e-commerce agrégées d'une organisation (toutes ses boutiques actives). Choisir au moins une métrique, optionnellement des dimensions pour regrouper, et une plage de dates (defaut: 30 derniers jours). Si le compte a plusieurs organisations, fournir organizationId (voir list_organizations). Utiliser list_metrics et list_dimensions pour les identifiants valides.
query_report
Renvoie les dimensions disponibles pour query_report (id, libellé, type). Une dimension regroupe les résultats (date, boutique, pays, type client, statut commande).
list_dimensions
Renvoie les métriques disponibles pour query_report (id, libellé, type). Une métrique est une valeur agrégée (commandes, CA brut, CA net, taxes, livraison, clients).
list_metrics
Renvoie les organisations Fullmetrix accessibles avec ce compte (id, nom, slug). Utiliser l'id renvoyé comme organizationId dans query_report quand le compte a plusieurs organisations.
list_organizations

Fullmetrix FAQ

How do I improve a ChatGPT Plugin's 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 Fullmetrix alternatives on ChatGPT?

As of 2026-09-28, Fullmetrix competes with ADECI, Alteryx Insights, Answer Charts, Azadea One, Bark AI, BlazeSQL, Bloom Profit Analytics, Book Report, ChartMogul, Cleverbridge, Coupler.io, DataAssist-IO, DATAHILL, Deepnote, Evidence Studio, Ezoic Analytics, Flourish, Fr8Labs Analytics, Hex, Hologrow, Keypup, Krewss BI, Menu Integrado, Metorik, Omni, Orion, OWOX Data Marts, Peaka, Perlucem.ai, Prism by Crossdeck, PublisherChamp, Sales Compass by Luzmo, Steep, Sweet Analytics, Tableau (MCP only; EOL soon), Tenzo, ThoughtSpot Spotter, ThoughtSpot SpotterCode, TitanSigma, VODER, Winnow, WisdomAI, WitCloud, XAPP Analyst in ChatGPT Self-Serve BI & Conversational Analytics, 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.

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Competing in ChatGPT Self-Serve BI & Conversational Analytics

4 tools agents can invoke