pubfi-crypto-daily-report

Business

Aggregates crypto news from multiple sources and generates curated daily markdown reports with automated scoring and deduplication.

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Crypto Daily Report

Curated Web3 News Aggregation

Overview

Fetches the latest crypto news from multiple sources, applies intelligent scoring, deduplicates content, and generates a prioritized daily digest.

Rules

No mock or simulated data allowed
Only real-time news from verified sources

Execution Workflow

Step 1: Initialize

1. Set date range (last 24 hours)
2. Configure limit (default: 10, max: 50)

Step 2: Fetch Data

Source 1: BlockBeats
API Documentation: https://github.com/BlockBeatsOfficial/RESTful-API

Source 2: PANews Flash
GET API: https://www.panewslab.com/zh/rss/newsflash.xml (no params required)
Description: Real-time Web3 industry updates

Source 3: PANews Curated
GET API: https://www.panewslab.com/zh/rss/foryou.xml (no params required)
Description: Curated Web3 news selections

Processing:
  - Retrieve latest articles
  - Extract title, summary, and URL
  - Apply automatic scoring

Step 3: Data Processing

Deduplication
Scoring: 1-5 scale, auto-calculated
Sorting: By score (descending), then by timestamp (newest first)

Parameters

Parameter	Type	Default	Description
date	string	today	Query date in YYYY-MM-DD format
limit	number	10	Number of items to return (1-50)

Output Format

# Crypto Daily Report (2026-02-04)

> Top 10 Curated Crypto News
> Sources: Multiple | Generated in: 45s

---

🔥 Today's Highlights (2026-02-04):
1. Major whale loses $13M on Hyperliquid - Balance down to $60K - URL
2. Binance Alpha launches Warden Protocol (WARD) - URL
3. Tally announces ICO platform built on Uniswap CCA - URL
....

---

*Generated by Crypto Daily Report*

Error Handling

Error	Action
API Timeout	Retry once
HTTP 403	Log error, use cached data
No Valid Data	Return empty report

Key Features

Multi-Source: Broad coverage with reliable aggregation
Quality First: Returns only high-quality, relevant news
Smart Deduplication: Prevents redundant content
Auto-Scoring: Based on recency and relevance