What is timecopilot?

59/100
Trust Score (D)
⚠️ Use Caution

timecopilot is a data that TimeCopilot: the GenAI Forecasting Agent. Built on LLMs and Time Series Foundation Models, it lets you forecast, cross-validate, and detect anomalies using multiple foundation models through a single . It has a Nerq Trust Score of 59/100 (D). 396 GitHub stars. Published by TimeCopilot. Last analyzed October 2026.

Why This Score

Trust & Safety Overview

59
TRUST SCORE
D
GRADE
396
STARS
0
DOWNLOADS

What timecopilot Does

timecopilot is a agent in the data category. TimeCopilot: the GenAI Forecasting Agent. Built on LLMs and Time Series Foundation Models, it lets you forecast, cross-validate, and detect anomalies using multiple foundation models through a single API. From finance and energy to web analytics, TimeCopilot turns natural-language queries into produ. It is published by TimeCopilot and is open source. With 396 GitHub stars and 0 downloads, it has a growing community of users and contributors.

Who Should Use timecopilot

timecopilot is suitable for evaluation and non-critical use. Review the trust score breakdown before using in production.

Details

AuthorTimeCopilot
Categorydata
LicenseMIT
Typeagent
SourceView on GitHub
Security Score1/100
Activity Score1/100

How to Get Started

Check the trust score before installing:

curl nerq.ai/v1/preflight?target=timecopilot-timecopilot

Setup guide · Full safety report · Production review · Is it safe?

Safer Alternatives

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Frequently Asked Questions

What is timecopilot used for?
timecopilot is a data tool. TimeCopilot: the GenAI Forecasting Agent. Built on LLMs and Time Series Foundation Models, it lets you forecast, cross-validate, and detect anomalies using multiple foundation models through a single .
Is timecopilot free?
License: MIT. timecopilot has 396 GitHub stars.
Is timecopilot safe?
timecopilot has a Nerq Trust Score of 59/100 (D). Use with caution.
What are alternatives to timecopilot?
Top alternatives: firecrawl, MinerU, mindsdb. See full comparison.

Last updated October 2026. Trust scores based on automated analysis of public data.

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