# Telemost Telegram LLM Sentiment Analysis

> Telemost Telegram LLM Sentiment Analysis is a paid API for AI agents from api.telemost.io, paid per call via x402, $0.1865/call, status unknown (last checked 2026-09-14).

Returns an LLM-generated sentiment verdict (label, score, trend, and summary) for a Telegram channel, group, or topic over a chosen time period.

## Facts

- Endpoint: GET https://api.telemost.io/v1/data/sentiment/llm
- Price: $0.1865/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-llm-sentiment-analysis-a55e7a00
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_XMV1Z1Qh6SZc8sIa3h-Lo

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-llm-sentiment-analysis-a55e7a00
```

Example prompt: What's the overall audience sentiment for the Telegram channel @cryptonews_official over the last 7 days — give me the sentiment label, score, trend, and a quick summary.

## When to prefer this

Choose this endpoint when you need an AI-interpreted, high-level sentiment verdict with a trend and narrative summary for a Telegram channel or topic — as opposed to raw post/reaction data. Ideal for brand monitoring, campaign planning, or competitive intelligence where a human-readable verdict is more actionable than raw metrics.

## Known failure modes

- Invalid or non-existent Telegram channel/source returns a 404 or empty result
- Unsupported period value outside enum (24h, 7d, 30d) causes a validation error
- Insufficient recent posts in the channel may result in low-confidence or unavailable sentiment
- Payment failure or insufficient USDC balance returns a 402 error
- Rate limiting may return a 429 if too many requests are made in quick succession

## How this service works

Telegram sentiment analysis, LLM verdict: sentiment label, score, trend and a short summary for a channel, group or topic. Gauge audience mood or brand perception before acting.

## Output

Returns a structured JSON object containing an LLM-generated sentiment label (e.g. positive, negative, neutral), a numeric sentiment score, a trend indicator showing how sentiment is moving, and a concise natural-language summary of the audience mood for the specified Telegram channel, group, or topic.

## 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": {
   "score": null,
   "trend": null,
   "summary": null,
   "sentiment": null
  },
  "meta": {
   "cached": false,
   "resource": "/v1/data/sentiment/llm",
   "generated_at": "2026-07-07T12:00:00.000Z"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/telemost-telegram-llm-sentiment-analysis-a55e7a00/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)