Youtube Transcript Fetcher

Available ActionsEach successful request consumes credits as outlined below.

fetch^25cr

Details

YouTube Transcript Fetcher retrieves video transcripts from YouTube. The tool accepts either a full YouTube URL or an 11-character video ID. Supported URL formats include standard watch URLs (youtube.com/watch?v=), shortened URLs (youtu.be), Shorts, embeds, and live streams. When both are provided, video_id takes precedence over video_url. Transcripts are returned as plain text by default. Enabling include_timestamps returns an array of segments, each containing the text, start time, and duration. An optional language parameter requests transcripts in a specific language code (such as "en" or "es") when available. The response includes the video ID, video title when available, and the full transcript text.

Use Cases

Generating searchable text from video content, creating video summaries or show notes, building accessibility tools for hearing-impaired users, extracting quotes with precise timestamps for citations, analyzing video content for keyword research, creating training data from educational videos, building video search indexes across content libraries, translating video content by extracting source transcripts, generating subtitles or closed captions in alternate formats, content repurposing for blogs or articles, timestamped note-taking for lectures or tutorials, compliance review of recorded meetings or webinars, sentiment analysis on video commentary, creating chapter markers from transcript segments.

Connect Your Agent In 5 Min

Watch the setup guide for your platform

Or Install Locally

STDIO connector for Claude Code, Codex, Cursor, Zed, and other LLMs that require STDIO or custom connections. This lightweight connector routes requests to https://api.agentpmt.com/mcp. All tool execution happens in the cloud and the server cannot edit any files on your computer.

npm install -g @agentpmt/mcp-routeragentpmt-setup

curl -X POST "https://api.agentpmt.com/products/purchase" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer ********" \
  -d '{
    "product_id": "693389cb6f4ce728406d40be",
    "parameters": {
      "action": "fetch",
      "include_timestamps": false,
      "include_raw_response": false
    }
  }'

import requests
import json

url = "https://api.agentpmt.com/products/purchase"

headers = {
    "Content-Type": "application/json",
    "Authorization": "Bearer ********"
}

data = {
    "product_id": "693389cb6f4ce728406d40be",
    "parameters": {
        "action": "fetch",
        "include_timestamps": false,
        "include_raw_response": false
    }
}

response = requests.post(url, headers=headers, json=data)
print(response.status_code)
print(response.json())

const url = "https://api.agentpmt.com/products/purchase";

const headers = {
  "Content-Type": "application/json",
  "Authorization": "Bearer ********"
};

const data = {
  product_id: "693389cb6f4ce728406d40be",
  parameters: {
    "action": "fetch",
    "include_timestamps": false,
    "include_raw_response": false
  }
};

fetch(url, {
  method: "POST",
  headers,
  body: JSON.stringify(data)
})
  .then(response => response.json())
  .then(data => console.log(data))
  .catch(error => console.error("Error:", error));

const axios = require('axios');

const url = "https://api.agentpmt.com/products/purchase";

const headers = {
  "Content-Type": "application/json",
  "Authorization": "Bearer ********"
};

const data = {
  product_id: "693389cb6f4ce728406d40be",
  parameters: {
    "action": "fetch",
    "include_timestamps": false,
    "include_raw_response": false
  }
};

axios.post(url, data, { headers })
  .then(response => {
    console.log(response.status);
    console.log(response.data);
  })
  .catch(error => {
    console.error("Error:", error.message);
  });

Login to view your API and budget keys. The example above uses placeholder values. Sign in to see personalized code with your bearer token.

This tool supports credit-based access for external agents using AgentAddress identities or standard crypto wallets. External agents should use the External Agent API to buy credits with x402 and invoke this tool.

1. Buy Credits

Purchase credits via x402 payment (500 credit minimum, 100 credits = $1).

# Request payment requirements (returns 402 + PAYMENT-REQUIRED header)
curl -i -s -X POST "https://www.agentpmt.com/api/external/credits/purchase" \
  -H "Content-Type: application/json" \
  -d '{ "wallet_address":"0xYOUR_WALLET", "credits": 500, "payment_method":"x402" }'

# Sign the EIP-3009 authorization, then retry with signature header
curl -s -X POST "https://www.agentpmt.com/api/external/credits/purchase" \
  -H "Content-Type: application/json" \
  -H "PAYMENT-SIGNATURE: <base64-json>" \
  -d '{ "wallet_address":"0xYOUR_WALLET", "credits": 500, "payment_method":"x402" }'

2. Create a Session Nonce (nonce used in signed balance/invoke)

curl -s -X POST "https://www.agentpmt.com/api/external/auth/session" \
  -H "Content-Type: application/json" \
  -d '{ "wallet_address":"0xYOUR_WALLET" }'

3. Invoke This Tool

Sign the message with your wallet (EIP-191 personal-sign), then POST to the invoke endpoint.

# Sign this message (wallet MUST be lowercased):
# agentpmt-external
# wallet:0xyourwallet...
# session:<session_nonce>
# request:<request_id>
# action:invoke
# product:693389cb6f4ce728406d40be
# payload:<sha256(canonical_json(parameters))>

curl -s -X POST "https://www.agentpmt.com/api/external/tools/693389cb6f4ce728406d40be/invoke" \
  -H "Content-Type: application/json" \
  -d '{
    "wallet_address": "0xYOUR_WALLET",
    "session_nonce": "<session_nonce>",
    "request_id": "invoke-uuid",
    "signature": "0x<signature>",
    "parameters": {
      "action": "your_action",
      "your_param": "value"
    }
  }'

Actions(1)

fetch^25cr5 params

Fetch the transcript for a YouTube video. Provide either video_url or video_id. The transcript is saved to cloud storage and a signed download URL is returned.

video_urlstring

Full YouTube URL. Supported formats: youtube.com/watch?v=, youtu.be/, shorts, embeds, live. Provide either video_url or video_id.

video_idstring

YouTube video ID (11 characters). Takes precedence over video_url if both are provided.

languagestring

Transcript language code (e.g., 'en', 'es', 'fr'). If omitted, the video's default language is used.

include_timestampsboolean

When true, the saved transcript file includes timestamped segments with start time and duration. Default: false.

Default: false

include_raw_responseboolean

When true, the saved transcript file includes the full raw provider response (useful for debugging; may be large). Default: false.

Default: false

Usage Instructions

Usage guidance provided directly by the developer for this product.

Youtube Transcript Fetcher

Name: Youtube Transcript Fetcher
Brand: Apoth3osis
SKU: 693389cb6f4ce728406d40be
Price: 0.25 USD
Availability: InStock

Overview

Fetch transcripts from YouTube videos. Provide a video URL or video ID and receive the full transcript text saved as a downloadable JSON file. Supports language selection and optional timestamped segments.

Actions

fetch

Retrieve the transcript for a YouTube video. The transcript is saved to cloud storage and a signed download URL is returned.

Required fields (one of the following):

video_url (string) — Full YouTube URL. Supported formats include https://www.youtube.com/watch?v=VIDEO_ID, https://youtu.be/VIDEO_ID, shorts, embeds, and live URLs.
video_id (string) — The 11-character YouTube video ID. Takes precedence over video_url if both are provided.

Optional fields:

language (string) — Language code for the transcript (e.g., en, es, fr). If omitted, the video's default language is used.
include_timestamps (boolean, default: false) — When true, the saved transcript file includes timestamped segments with start time and duration for each line.
include_raw_response (boolean, default: false) — When true, the saved transcript file includes the full raw provider response (useful for debugging; may be large).

Example — Fetch by video URL:

{
  "action": "fetch",
  "video_url": "https://www.youtube.com/watch?v=dQw4w9WgXcQ"
}

Example — Fetch by video ID with timestamps in Spanish:

{
  "action": "fetch",
  "video_id": "dQw4w9WgXcQ",
  "language": "es",
  "include_timestamps": true
}

Example — Fetch with raw response for debugging:

{
  "action": "fetch",
  "video_id": "dQw4w9WgXcQ",
  "include_raw_response": true
}

Response fields:

video_id — The resolved video ID.
video_title — Title of the video (when available).
language — The requested language code (or null if default).
transcript_file — Object containing file_id, filename, signed_url, signed_url_expires_in, expiration_date, size_bytes, and content_type. Use signed_url to download the full transcript JSON.
transcript_summary — Object with character_count, word_count, and segment_count.
timestamps_saved — Whether timestamped segments were included in the file.

Common Workflows

Get a video transcript for summarization — Use fetch with a video URL, then download the transcript file from the signed_url to read or summarize the content.
Multilingual transcript retrieval — Set the language field to fetch transcripts in a specific language (the video must have that language available).
Detailed analysis with timestamps — Set include_timestamps to true to get per-segment timing data, useful for creating subtitles or referencing specific moments.

Important Notes

You must provide either video_url or video_id. If both are given, video_id takes precedence.
The transcript is returned as a stored JSON file with a signed download URL, not inline in the response. Use the signed_url to access the full text.
Not all YouTube videos have transcripts available. Videos without captions or transcripts will return an error.
The signed_url is temporary and will expire (see signed_url_expires_in and expiration_date in the response).
Supported URL formats: standard watch URLs, short youtu.be links, shorts, embeds, and live URLs.

About The Developer

Apoth3osis

★15 stars

Joined Agent Payment: August 14, 2025

We build tools that enable AI agents to excel in the mathematical realm.

Our small team develops experimental and unique solutions in the AI arena, with a strong focus on modular computing for agentic applications and custom model deployment. We have handled projects for a variety of applications across many sectors, from algorithmic trading and financial analysis, to molecular simulations and predictions, to habitat and biodiversity monitoring and wildlife conservation.

Youtube Transcript Fetcher

Description