Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Crypto news search, AI ratings, trading signals, and real-time updates via the OpenNews 6551 API. Supports keyword search, coin filtering, source filtering,...
Crypto news search, AI ratings, trading signals, and real-time updates via the OpenNews 6551 API. Supports keyword search, coin filtering, source filtering,...
This item's current download entry is known to bounce back to a listing or homepage instead of returning a package file.
Use the source page and any available docs to guide the install because the item currently does not return a direct package file.
I tried to install a skill package from Yavira, but the item currently does not return a direct package file. Inspect the source page and any extracted docs, then tell me what you can confirm and any manual steps still required.
I tried to upgrade a skill package from Yavira, but the item currently does not return a direct package file. Compare the source page and any extracted docs with my current installation, then summarize what changed and what manual follow-up I still need.
Query crypto news from the 6551 platform REST API. All endpoints require a Bearer token via $OPENNEWS_TOKEN. Get your token: https://6551.io/mcp Base URL: https://ai.6551.io
All requests require the header: Authorization: Bearer $OPENNEWS_TOKEN
Fetch all available news source categories organized by engine type. curl -s -H "Authorization: Bearer $OPENNEWS_TOKEN" \ "https://ai.6551.io/open/news_type" Returns a tree with engine types (news, listing, onchain, meme, market) and their sub-categories.
POST /open/news_search is the primary search endpoint. Get latest news: curl -s -X POST "https://ai.6551.io/open/news_search" \ -H "Authorization: Bearer $OPENNEWS_TOKEN" \ -H "Content-Type: application/json" \ -d '{"limit": 10, "page": 1}' Search by keyword: curl -s -X POST "https://ai.6551.io/open/news_search" \ -H "Authorization: Bearer $OPENNEWS_TOKEN" \ -H "Content-Type: application/json" \ -d '{"q": "bitcoin ETF", "limit": 10, "page": 1}' Search by coin symbol: curl -s -X POST "https://ai.6551.io/open/news_search" \ -H "Authorization: Bearer $OPENNEWS_TOKEN" \ -H "Content-Type: application/json" \ -d '{"coins": ["BTC"], "limit": 10, "page": 1}' Filter by engine type and news type: curl -s -X POST "https://ai.6551.io/open/news_search" \ -H "Authorization: Bearer $OPENNEWS_TOKEN" \ -H "Content-Type: application/json" \ -d '{"engineTypes": {"news": ["Bloomberg", "Reuters"]}, "limit": 10, "page": 1}' Only news with coins: curl -s -X POST "https://ai.6551.io/open/news_search" \ -H "Authorization: Bearer $OPENNEWS_TOKEN" \ -H "Content-Type: application/json" \ -d '{"hasCoin": true, "limit": 10, "page": 1}'
ParameterTypeRequiredDescriptionlimitintegeryesMax results per page (1-100)pageintegeryesPage number (1-based)qstringnoFull-text keyword searchcoinsstring[]noFilter by coin symbols (e.g. ["BTC","ETH"])engineTypesmap[string][]stringnoFilter by engine and news typeshasCoinbooleannoOnly return news with associated coins
{ "id": "unique-article-id", "text": "Article headline / content", "newsType": "Bloomberg", "engineType": "news", "link": "https://...", "coins": [{"symbol": "BTC", "market_type": "spot", "match": "title"}], "aiRating": { "score": 85, "grade": "A", "signal": "long", "status": "done", "summary": "Chinese summary", "enSummary": "English summary" }, "ts": 1708473600000 }
curl -s -X POST "https://ai.6551.io/open/news_search" \ -H "Authorization: Bearer $OPENNEWS_TOKEN" \ -H "Content-Type: application/json" \ -d '{"limit": 10, "page": 1}' | jq '.data[] | {text, newsType, signal: .aiRating.signal}'
curl -s -X POST "https://ai.6551.io/open/news_search" \ -H "Authorization: Bearer $OPENNEWS_TOKEN" \ -H "Content-Type: application/json" \ -d '{"limit": 50, "page": 1}' | jq '[.data[] | select(.aiRating.score >= 80)]'
Get your API token at https://6551.io/mcp Rate limits apply; max 100 results per request AI ratings may not be available on all articles (check status == "done")
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