SORACOM Query

Query your SORACOM data

Category: Developer Tools
Primary Subcategory: Cloud Data Warehouses & Query Engines

Integration details

Description

SORACOM Query helps users inspect the available data schema, check query usage, run SQL across JP or Global coverage, analyze bounded results, and download complete query exports.

Integration type: Plugin
Verification status: Not applicable
Platform: ChatGPT
Category: Developer Tools
Primary Subcategory: Cloud Data Warehouses & Query Engines
Secondary Subcategories: None listed
Brand: SORACOM
Access: Account required
First tracked: 2026-09-10
Tool count: 5
Geography: US

ChatGPT Plugin Discovery Score

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Primary Subcategory

Competing in ChatGPT Cloud Data Warehouses & Query Engines

View Category

Listed in alphabetical order

Primary Subcategory

AWS Data AnalyticsComing soonGet notified

ClickHouseComing soonGet notified

MotherDuckComing soonGet notified

SORACOM QueryComing soonGet notified

Tools

5 tools agents can invoke

Use after research is complete to deliver the complete final dataset. Poll using the same JP or Global coverage returned by start_query; coverage defaults to JP when omitted for compatibility. Returns a temporary direct-download resource link in CSV, Parquet, or gzipped JSONL format. The MCP applies no row or byte limit because Lambda does not download the file. Do not use this tool for research or visualization; use get_query_result instead.
Use for research, analysis, and visualizations. Poll using the same JP or Global coverage returned by start_query; coverage defaults to JP when omitted for compatibility. Returns typed JSON rows when complete, limited to maxRows (default 100, maximum 1,000) and 1 MiB. Results may be truncated; use get_query_export only for the complete final dataset.
Required first call for any non-trivial SORACOM Query request: call this for the target coverage before authoring SQL. Returns the complete published, coverage-specific LLM dictionary verbatim, including available views, columns and semantics, relationships and join paths, time-range rules, data freshness, and query examples. Use it instead of guessing the schema. Coverage defaults to JP when omitted for compatibility; pass g for Global, then use the same coverage in start_query and all later polling calls.
Get current SORACOM Query bundle usage for the selected JP or Global coverage. Returns used, allowed, and remaining execution counts plus whether the bundle is exhausted. Call this before starting queries when quota availability matters.
Start a SORACOM Query SQL execution in the selected JP or Global coverage. For any non-trivial request, call get_query_schema for that coverage before authoring SQL. Coverage defaults to JP when omitted for compatibility; pass g for Global. Carry the returned coverage and queryId into get_query_result or get_query_export. Use get_query_usage first when current bundle quota matters.

SORACOM Query 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 SORACOM Query alternatives on ChatGPT?

As of 2026-09-10, SORACOM Query competes with AWS Data Analytics, ClickHouse, MotherDuck 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.