Use Cases

One API powering agents across trading, research, monitoring, and more. Here's how teams use AgentSignal.

1

Trading Agent — Market Signals + Predictions

Feed your trading agent crypto prices from CoinGecko, prediction market odds from Polymarket, and breaking financial news — all in one call. Entity-aware scoring detects when the same asset is trending across multiple sources, boosting the signal score.

market events CoinGecko Polymarket Google News
Request
curl "agentsignal.dev/feed?type=market,events&min_score=60&format=json"
Response (truncated)
{
  "ok": true,
  "count": 12,
  "latest_id": "sig_cg_btc_1710412200",
  "signals": [
    {
      "id": "sig_cg_btc_1710412200",
      "type": "market",
      "source": "coingecko",
      "title": "Bitcoin (BTC): $83,150.00",
      "score": 82,
      "topics": ["crypto", "bitcoin", "markets"],
      "metadata": { "price": 83150, "change24h": -4.2 }
    },
    {
      "id": "sig_pm_rate_cut",
      "type": "events",
      "source": "polymarket",
      "title": "Fed rate cut by June 2026?",
      "score": 71,
      "metadata": { "yes": 0.41, "volume": 2840000 }
    }
  ]
}
2

Research Agent — Papers + Community Discussions

Track the latest AI/ML research from ArXiv alongside community discussions on Hacker News and Reddit. Use historical replay to search the past 7 days for any topic your agent missed.

science social ArXiv Hacker News Reddit
Request — latest LLM papers + discussion
curl "agentsignal.dev/feed?source=arxiv,hackernews,reddit&topic=llm&format=json"
Request — historical replay: what happened in AI this week?
curl "agentsignal.dev/feed?topic=ai&from=2026-03-08T00:00:00Z&to=2026-03-15T00:00:00Z&min_score=60&format=json"
3

Alert Agent — Webhooks for Real-time Push

Instead of polling, register a webhook and AgentSignal pushes matching signals to your agent in real time. Built-in retry with exponential backoff. Dead agent detection after 10 consecutive failures.

webhooks real-time push notifications
Register a webhook
curl -X POST agentsignal.dev/webhooks \
  -H "Content-Type: application/json" \
  -d '{"url": "https://your-agent.com/signals", "topics": ["ai", "crypto"], "min_score": 70}'
Payload delivered to your endpoint
{
  "event": "new_signals",
  "timestamp": "2026-03-14T10:30:00Z",
  "webhook_id": "wh_abc123",
  "signals": [
    {
      "id": "sig_gn_ai_bill",
      "title": "Breaking: Major AI regulation bill passed",
      "score": 88,
      "source": "google-news",
      "type": "news"
    }
  ]
}
4

Efficient Polling — Delta Updates

For agents that poll, AgentSignal supports three delta mechanisms: cursor-based pagination (since_id), HTTP conditional requests (ETag/304), and timestamp-based queries. Zero wasted tokens when nothing changed.

since_id ETag 304 efficient polling
Cursor-based delta
curl "agentsignal.dev/feed?format=json&since_id=sig_hn_12345"
Conditional request (ETag)
curl -H 'If-None-Match: "a1b2c3d4e5f6"' agentsignal.dev/feed
Response when nothing changed
HTTP/1.1 304 Not Modified
(empty body — zero tokens consumed)
5

Q&A Agent — Signal-Grounded Answers

Ask natural language questions and get answers grounded in real-time signals. Powered by Claude with full context from the signal feed. Great for chatbots, copilots, and daily briefings.

ask Claude natural language
Request
curl -X POST agentsignal.dev/ask \
  -H "Content-Type: application/json" \
  -d '{"q": "What are the biggest AI developments in the last 24 hours?", "lookback": "24h"}'
Response
Three major AI developments in the last 24 hours:

1. Congress passed the AI Safety Act with bipartisan support,
   requiring safety evaluations for frontier models (score: 88)

2. Google DeepMind published a breakthrough paper on reasoning
   in LLMs, trending on ArXiv and Hacker News (score: 76)

3. OpenAI announced GPT-5 preview access for enterprise
   customers, with Reddit and HN heavily discussing pricing (score: 82)
6

Competitive Intelligence — Follow + Monitor

Create a Follow subscription for competitor names. AgentSignal tracks mentions across all 8 sources — news, social, research, markets. Combine with webhooks for instant alerts on competitor activity.

follow monitoring brand tracking
Create a follow
curl -X POST agentsignal.dev/follow \
  -H "Content-Type: application/json" \
  -d '{"topics": ["openai", "anthropic", "google deepmind"], "min_score": 40}'
Response
{
  "ok": true,
  "follow_id": "f_comp_intel",
  "topics": ["openai", "anthropic", "google deepmind"],
  "min_score": 40,
  "feed_url": "/feed?follow=f_comp_intel"
}
Poll your personalized competitive feed
curl "agentsignal.dev/feed?follow=f_comp_intel&format=json"
7

LLM Context Window — Markdown Feed

The default markdown output is designed to be pasted directly into an LLM's context window. Ranked, concise, and structured — your agent gets situational awareness in ~300 tokens instead of parsing raw HTML from 8 different sources.

markdown LLM-optimized 300 tokens
Request — default markdown
curl agentsignal.dev/feed?min_score=70&limit=5
Response — text/markdown
# AgentSignal Feed — 2026-03-14T10:30:00Z

## High Signal (80+)
- [88] Congress passes AI Safety Act (google-news)
- [82] Bitcoin drops 4.2% to $83,150 after Fed comments (coingecko)

## Notable (70-79)
- [76] New ArXiv paper: Reasoning in Large Language Models (arxiv)
- [71] Fed rate cut odds drop to 41% on Polymarket (polymarket)
- [70] Show HN: Open source signal feed for AI agents (hackernews)