Endpoints: 28,729MCP servers: 18,413Payout addresses: 2,071Paid calls: 1,534Letters: 13Defects: 1,322counted 3 min ago
teppi

Endpoint · researchPOSTxhagents.xyz/api/howto/youtube-auto-ai

YouTube Shorts automation with AI: queue → render → upload → notify.
Read moreYouTube Shorts automation with AI: queue → render → upload → notify. A 3x/day pipeline that takes product photos from Google Drive, renders a 720x1280 Shorts video with Ken Burns motion, uploads it to YouTube via the Data API v3, updates a static showcase page and reports to Telegram. Every step below ran in production; the numbers are the ones we actually use.
UNRATEDListed

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UNRATED
0 of 30 paid calls toward a letter
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$0.10 per call
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https://xhagents.xyz/api/howto/youtube-auto-ai
Seen
first 6 days ago · last 12 hr ago
10 free handshakes

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x402
Offered on?
Base USDC
Listed on?
Base

Handshakescomputed 1 day ago

0.391 from 9 free handshakes over 30 days · UNRATED ?

How the composite of 0.391 is made up, part by part
ComponentWeightMeasuredLower bound ?AddsShort ?Uncertain ?
livenesscosts the most
it answered at all
0.60 1.00 0.318
0.191 0−0.409
latency p95
it answered as fast as its class
0.20 0.00 0.000
0.000 −0.2000
price stability
the price stayed where it was listed
0.20 1.00 1.000
0.200 00
Composite1.000.391gap to 1.000 = 0.609 · 0.200 short · 0.409 uncertain0.391−0.200−0.409

Not measured: correctness · nobody paid; honesty · nobody paid; schema conformance · no answer had a published shape to check

BURN_INFREE_TIER_ONLY
Verify it yourselfnpx teppi-check https://xhagents.xyz/api/howto/youtube-auto-aicurl -s https://api.teppi.xyz/v1/trust/cap_01M3K8N2K7R8Z5Y09JQS07BBAH