Killed
Watching it yourselfwatch time
150hours
500 videos at roughly 18 minutes each. Two work weeks even at 2x speed, and the GPT-6 Astra feed is still growing. Counted on this run, September 2026.
Your agent can read YouTube now
We killed thewatch later pile.
GPT-6 Astra dropped and 500 videos followed. Your agent pulled every transcript for $6.04, wrote the digest, and you watched none of them. 150 hours, returned.
The whole run, in 67 seconds: real launch cards, one prompt, one endpoint, 500 transcripts, one digest. Every thumbnail, title, view count, and price on screen is the actual return from the calls behind this page, Sep 8 2026.
$
set up https://monid.ai/SKILL.md and pull the transcript of every GPT-6 Astra video on YouTube, then write me the digest: recurring claims, contrarian takes, who said it firstGive this to your agent
The watch time is dead.
GPT-6 Astra dropped this week and every AI channel posted a take. Keeping up by watching is a full-time job. Your agent reads the same videos as transcripts through Monid endpoints: pay per video, only when you ask, no seat, no subscription.
Monid + your agentper video
$0.012/transcript
The full plain-text transcript of any YouTube video in one call, measured on this run. The whole 500-video read behind this page: $6.04.
MONID · RECEIPT
ONE NICHE · 500 VIDEOS · ZERO WATCHED
niche search, 500 video ids$0.04
500 transcripts at $0.012$6.00
the digest (your agent)$0.00
TOTAL$6.04
PAID
The watching,
replaced by the raw transcripts.
A summarizer app sells you one video at a time. Your agent reads the whole niche: find every video, pull every transcript, digest the lot, stay current tomorrow. Endpoints discovered and called on Monid with one wallet. Every price is the actual billing from the run behind this page.
STEP 1
$0.04
Find every video
via YouTube search on Monid ($0.0015 per page)
One call to the YouTube search endpoint returns a page of ranked results with real video ids, titles, channels, and view counts. Our run started at the top of the GPT-6 Astra pile: OpenAI's launch video at 2.4M views, Fireship's first look at 3.7M. Twenty-five pages later the agent holds 500 video ids, for four cents.
STEP 2
$6.00
Pull every transcript
via YouTube captions on Monid ($0.012 per video)
One call per video: send the id, get the full transcript back as plain text. Fireship's 'Did OpenAI actually build AGI?' came back as 8,406 characters in a single call, measured on this run. Five hundred videos is $6.00 flat. Nobody watched anything.
STEP 3
$0.00
Summarize the pile
via your agent (the part no summarizer app sells)
Your agent reads 500 transcripts side by side and the noise collapses into one digest: the claims that repeat across hundreds of videos, the contrarian takes only a dozen dared to make, and who said what first, with timestamps. A human at 2x speed gets there in two work weeks. The agent got there before lunch.
STEP 4
$0.00
Stay current tomorrow
via the same loop (pay only for new videos)
The takes keep coming. Tomorrow the same loop searches again, pulls only the new ids, and folds them into the digest. Ten new videos costs twelve cents. Your watch later pile stops being a debt and becomes a feed your agent reads for you.
Monid connects your agent to
every tool and API it needs.
Transcripts rarely ship alone. Your agent moves from YouTube to TikTok, Reddit, and the open web, all through the same Monid balance, no seats, no subscriptions.
in this run
YouTubescraping
Redditscraping
TikTokscraping
Apollosales intel
Seedance 2.5video gen
TinyFishsearch + page fetch
AhrefsSEO data
Exaweb search
Instagramscraping
Amazonscraping
Facebookscraping
Telegramscraping
Google Reviewsscraping
Browserbaseweb automation
MiniMaxAI media generation
DeFiLlamaprotocol fundamentals
Firecrawlweb scraping
AgentMailagent email
People Data Labspeople search
context.devbrand data
Reading 500 videos
costs $6.04,
not 150 hours.
Start with $1 in free credit.
$
set up https://monid.ai/SKILL.md and pull the transcript of every GPT-6 Astra video on YouTube, then write me the digest: recurring claims, contrarian takes, who said it first
