For Neudata · prepared 14 Sep 2026

Commodities on video, indexed and read.

Neudata asked for strong coverage of commodities-related videos and transcripts across YouTube, TikTok and Instagram. This page is the live answer: LunarCrush already indexes every commodities video we see across those networks with engagement, creator reach and sentiment, hourly. For ad hoc requests we layer in transcripts, AI summaries, extracted claims and entities on top. Everything below is real data from the last 24 hours to 6 months.

YouTube videos / day
0
mentioning commodities, last 24h
YouTube engagement / day
0M
views + likes + comments, last 24h
Creators, all networks
0
unique accounts posting, last 24h
Engagement, 12 months
0B
on the commodities topic, +227% YoY
01 — Coverage

Where the commodities conversation lives, by network

On mentions, X still dominates. On engagement, video is where the audience actually is: YouTube alone drives more engagement than every other non-X network combined, and TikTok is the fastest-growing slice. The line below is six months of daily engagement on the umbrella topic; the June spike is the Strait of Hormuz escalation.

Mentions by network · last 24h
Engagement by network · last 24h
Daily engagement on "commodities" · 19 Mar to 14 Sep 2026 · all networks
02 — Daily read

The headline of the day, from the videos that moved

Every day we can roll the day's commodities video up into one line a desk can scan, with the videos behind it one click away. This is the last seven days, generated from the English-language, market-relevant videos below.

03 — One video, fully worked

From a YouTube link to a research record

This is the deliverable shape. Metadata and engagement come from the LunarCrush index. The transcript is pulled from YouTube captions on request, then an AI pass produces a summary, three checkable claims and the entity list. Summaries are generated; quotes are verbatim from the transcript.

Five more, same treatment
04 — Inventory

Every video, with a summary you can scan

The most-engaged English-language, market-relevant commodities videos in the index right now, filtered from a larger raw feed that also carries Portuguese, Spanish and Hindi channels. Each row carries an AI summary, the commodity it is about, and the link to the video. Search matches titles, creators and summaries.

Video and summaryCommodityNetworkPublishedEngagement
05 — Depth

Every commodity is its own topic

"Commodities" is the umbrella. The real volume sits one level down, where each commodity has its own live topic with the same metrics, creators and video feed. A pilot can be scoped to any set of these, plus custom collections for narrower terms (Brent, Henry Hub, cocoa, cattle) that we can stand up in an hour.

Counts are the last 24 hours. Click any name to open the live topic on lunarcrush.com.

06 — Voices

The YouTube channels moving the commodities conversation

Every video is tied to a creator with followers, rank and engagement over time, so the desk can weight a claim by who said it and how far it travelled.

07 — Pilot scope

What we would deliver

Ad hoc is fine. Pick the commodities, the date range and the networks; we return the records below as CSV or JSON, with transcripts and AI fields on every video where captions exist. Download the sample from this page to see the exact schema.

In the index today

Video metadata + engagement

Every commodities video across YouTube, TikTok, Instagram and X, hourly.

  • id, url, network, publish time
  • title, description, tags
  • views, likes, comments, engagement 24h / total
  • creator, followers, rank
  • sentiment score, topic and sub-topic tags
  • history back to 2020 on the topic
Ad hoc layer

Transcripts + AI read

Fetched on request, delivered with the record.

  • full transcript text, language, captions vs auto flag
  • AI summary per video, plus a headline per day
  • extracted claims with numbers
  • entities: people, firms, commodities, places
  • theme tags: supply, demand, inventories, policy, price target
Suggested first step

Two-week sample pull

Two or three commodities, agreed date range, YouTube first with TikTok and Instagram added where captions or descriptions carry the content.

  • ten records first for schema sign-off
  • then the full batch, one revision included
  • transcript yield reported per network
Download sample CSV (45 videos)Open the live topic