ManyLives Clip Moments

x402

ManyLives Clip Moments is a paid API for AI agents from api.manylives.me, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-13).

Analyzes a video/audio transcript (SRT/WebVTT) and returns ranked, timestamped clip moments with hook scores for short-form content creation

Price / call$0.01

Seller volume →—

Success—

StatusUnknown

How this service works

Pay-per-call tools for people building AI agents: live web search and page contents, point-in-time crypto market data and news for backtests (no lookahead), verifiable track records of 1,000 crypto strategies locked on the Base network, company profiles, quick AI and batch prices. Ask us to turn a public website into a JSON endpoint. Pay per call, no account, free trial.

Output

A JSON object containing a ranked list of up to 15 clip recommendations, each with start time, end time, duration in seconds, a hook preview text, a hook score (0-10), a rank, and an explanation of why it was chosen. Also includes total segment count and the ranking model used.

Example use cases

Podcast to social media clips

“Here's the SRT file from my 90-minute podcast episode — find the top 6 clips between 20 and 55 seconds that have the most attention-grabbing hooks for Instagram Reels.”

YouTube video highlight extraction

“I have a transcript from a 45-minute YouTube video about startup fundraising — pull out the 4 strongest clip moments between 15 and 45 seconds, the ones that open with a surprising or counterintuitive claim.”

Webinar repurposing for LinkedIn

“Can you analyze this webinar SRT transcript and give me the 5 best short clips between 30 and 60 seconds? I want to know the exact timestamps and why each one would make a good hook.”

Technical details

Endpoint

POSThttps://api.manylives.me/paid/text/clip-moments?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need AI-powered identification of the most engaging timestamped moments from a long-form transcript, especially for repurposing podcast, webinar, or video content into social media shorts. It uses LLM ranking (llama-3.3-70b) rather than simple heuristics, so it understands narrative hooks. Prefer it over manual editing tools when you want ranked, scored clip recommendations with hook text extracted automatically. Pay-per-call with no account required makes it ideal for occasional or automated pipelines.

Side effects

Missing or malformed SRT/WebVTT input returns an error
Audio URL transcription fails if the URL is not publicly accessible
Transcript too short to produce clips of the requested minimum duration
max_clips out of range (must be 1-15)
min_s greater than max_s causes invalid constraint error
Rate limiting or payment failure via x402 protocol

Input

Schema · Request body

Field	Type	Description
srt	string	the transcript as SRT or WebVTT text (or segments, or url)
url	string	optional public audio link to transcribe first
mode	string	optional 'rules' for no AI
max_s	string	optional longest clip, default 60
min_s	string	optional shortest clip, default 15
segments	string	optional [{start, end, text}] in seconds
max_clips	string	optional 1-15 (default 6)

Output

Schema · Response

{
  "type": "json",
  "example": {
    "clips": [
      {
        "end": 351,
        "why": "Opens with a surprising claim",
        "hook": "Nobody tells you this about pricing...",
        "rank": 1,
        "start": 312.4,
        "seconds": 38.6,
        "hook_score": 8,
        "trim_start": 312.4
      }
    ],
    "segments": 214,
    "ranked_by": "open model (llama-3.3-70b) choosing among transcript windows"
  }
}

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