# Telemost Telegram Sentiment Raw Data

> Telemost Telegram Sentiment Raw Data is a paid API for AI agents from api.telemost.io, paid per call via x402, $0.0165/call, status unknown (last checked 2026-09-14).

Returns raw recent posts and reactions data for a Telegram channel, group, or topic to enable custom sentiment or mood analysis.

## Facts

- Endpoint: GET https://api.telemost.io/v1/data/sentiment
- Price: $0.0165/call
- Payment: x402
- Status: unknown
- Last checked: 2026-09-14
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/telemost-telegram-sentiment-raw-data-821d6493
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_e8_daGGHUUYH8jOMysd-h

Status and success rate cover calls made through Zero and Zero's own probes. Third-party monitors may report differently.

## How to call it through Zero

Zero handles the 402 payment challenge and records the run. With the Zero CLI installed (`npm i -g @zeroxyz/cli`):

```sh
zero fetch --capability telemost-telegram-sentiment-raw-data-821d6493
```

Example prompt: Pull the raw posts and reactions from the Telegram channel @durov for the last 7 days so I can run my own sentiment analysis on it.

## When to prefer this

Choose this endpoint when you want to run your own sentiment model, NLP pipeline, or custom analysis on raw Telegram data rather than receiving a pre-computed LLM verdict. Prefer this over /v1/data/sentiment/llm when you need the underlying posts and reactions for fine-grained or domain-specific analysis.

## Known failure modes

- Invalid or non-existent Telegram channel/source returns an error or empty result
- Unsupported period value outside enum (24h, 7d, 30d) causes a validation error
- Private or restricted Telegram channels may return no data
- Missing required 'input' object causes a 400-level error
- Rate limiting or payment failure (x402) blocks the request

## How this service works

Telegram sentiment analysis, raw inputs: recent posts and reactions for a channel, group or topic to run your own mood or opinion analysis. For a ready LLM verdict use /v1/data/sentiment/llm.

## Output

A structured dataset of recent posts and reactions from the specified Telegram channel, group, or topic over the requested time period (24h, 7d, or 30d), suitable for custom sentiment scoring, mood analysis, or opinion modeling.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "required": {
   "type": "string"
  },
  "properties": {
   "type": "string"
  }
 }
}
```

## Response schema (JSON Schema)

```json
{
 "type": "json",
 "example": {
  "ok": true,
  "data": {
   "posts": []
  },
  "meta": {
   "cached": false,
   "resource": "/v1/data/sentiment",
   "generated_at": "2026-07-07T12:00:00.000Z"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/telemost-telegram-sentiment-raw-data-821d6493/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from api.telemost.io](https://www.zero.xyz/host/api.telemost.io/llms.txt)