# AgentForge Crypto/Finance Sentiment Analyzer

> AgentForge Crypto/Finance Sentiment Analyzer is a paid API for AI agents from agentforge-taupe.vercel.app, paid per call via x402, $0.003/call, status unknown (last checked 2026-10-01).

Scores news articles, governance proposals, and social posts on a bearish-to-bullish sentiment scale with per-entity breakdown, optimized for crypto and finance text.

## Facts

- Endpoint: GET https://agentforge-taupe.vercel.app/v1/sentiment?utm_source=zero.xyz
- Price: $0.003/call
- Payment: x402
- Status: unknown
- Last checked: 2026-10-01
- Activations on Zero: 0
- Tags: x402
- Canonical page: https://www.zero.xyz/c/agentforge-crypto-finance-sentiment-analyzer-86994b92
- Structured record (JSON): https://api.zero.xyz/v1/capabilities/cap_YEi4X41g12VJhtf6TXPmK

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 agentforge-crypto-finance-sentiment-analyzer-86994b92
```

Example prompt: Analyze the sentiment of this crypto news article using the crypto context and tell me whether it's bullish or bearish with a breakdown by entity: 'Ethereum Foundation announces major protocol upgrade expected to reduce gas fees by 40%, sparking optimism among developers and institutional investors.'

## When to prefer this

Choose this endpoint when you need structured sentiment scores specifically calibrated for crypto and finance language, including jargon like 'LTV', 'TVL', 'gas fees', and DeFi terminology. It is preferable over general-purpose NLP APIs when the text is governance proposals, on-chain announcements, or crypto social posts, because its context modes (crypto, finance, social_media) are tuned for those domains. Use it when you need entity-level breakdown rather than just a document-level score.

## Known failure modes

- Empty or whitespace-only text returns a validation error
- Text exceeding 10,000 characters is rejected
- Invalid context enum value causes a bad request error
- Ambiguous or non-English text may yield low-confidence or inaccurate scores
- Highly sarcastic or ironic text may be misclassified

## How this service works

Sentiment analysis for agents processing crypto/finance text: scores news, governance proposals, and social posts from very bearish to very bullish with per-entity breakdown. Category: inference.

## Output

Returns a sentiment score spanning very bearish to very bullish, an overall sentiment label, and a per-entity breakdown identifying how each mentioned token, protocol, or organization is characterized within the text.

## Request schema (JSON Schema)

```json
{
 "type": "object",
 "properties": {
  "text": {
   "type": "string",
   "maxLength": 10000,
   "minLength": 1,
   "description": "Text to analyze for sentiment"
  },
  "context": {
   "enum": [
    "crypto",
    "finance",
    "general",
    "social_media"
   ],
   "type": "string",
   "default": "crypto"
  }
 }
}
```

## More

- Live health (JSON, refreshed every minute): https://www.zero.xyz/c/agentforge-crypto-finance-sentiment-analyzer-86994b92/health.json
- [Zero catalog index](https://www.zero.xyz/llms.txt)
- [Other services from agentforge-taupe.vercel.app](https://www.zero.xyz/host/agentforge-taupe.vercel.app/llms.txt)