From obul-search
Neural and semantic web search using Exa via StableEnrich (enrichx402). Use when the user needs intelligent search, retrieving page contents, or getting AI-generated answers with citations.
How this skill is triggered — by the user, by Claude, or both
Slash command
/obul-search:exaThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Search the web using Exa's neural search engine through StableEnrich's x402-enabled API. Exa excels at semantic/meaning-based search, extracting page contents, and generating answers with citations.
Search the web using Exa's neural search engine through StableEnrich's x402-enabled API. Exa excels at semantic/meaning-based search, extracting page contents, and generating answers with citations.
https://stableenrich.dev/api/exa/searchRequest:
obulx -X POST -H "Content-Type: application/json" \
-d '{
"query": "latest research on LLM reasoning",
"type": "auto",
"numResults": 5,
"contents": {
"text": true
}
}' \
"https://stableenrich.dev/api/exa/search"
Parameters:
| Parameter | Type | Default | Description |
|---|---|---|---|
query | string | required | Search query |
type | string | "auto" | "neural", "auto", "keyword" |
numResults | integer | 10 | Number of results (max 100) |
category | string | — | "company", "research paper", "news", "tweet", "personal site", "financial report", "people" |
includeDomains | array | — | Restrict results to these domains |
excludeDomains | array | — | Exclude these domains |
startPublishedDate | string | — | ISO 8601 date filter start |
endPublishedDate | string | — | ISO 8601 date filter end |
contents.text | bool/object | — | Include full text. Object form: {"maxCharacters": 2000} |
contents.highlights | bool/object | — | Include relevant snippets. Object form: {"maxCharacters": 500, "query": "specific focus"} |
contents.summary | object | — | LLM-generated summary. {"query": "summarize the key findings"} |
Response:
{
"requestId": "abc123",
"resolvedSearchType": "neural",
"results": [
{
"id": "https://example.com/article",
"url": "https://example.com/article",
"title": "Article Title",
"author": "Author Name",
"text": "Full page content...",
"highlights": ["Relevant snippet 1", "Relevant snippet 2"],
"summary": "LLM-generated summary of the page"
}
],
"costDollars": { "total": 0.005 }
}
https://stableenrich.dev/api/exa/findSimilarRequest:
obulx -X POST -H "Content-Type: application/json" \
-d '{
"url": "https://example.com/interesting-article",
"numResults": 5,
"contents": {
"text": true
}
}' \
"https://stableenrich.dev/api/exa/findSimilar"
Response: Same format as Search with semantically similar pages.
https://stableenrich.dev/api/exa/contentsRequest:
obulx -X POST -H "Content-Type: application/json" \
-d '{
"urls": ["https://example.com/page1", "https://example.com/page2"],
"text": true
}' \
"https://stableenrich.dev/api/exa/contents"
Parameters:
| Parameter | Type | Default | Description |
|---|---|---|---|
urls | array | required | URLs to extract content from |
text | bool/object | — | Include full text. Object form: {"maxCharacters": 5000} |
highlights | bool/object | — | Include relevant snippets |
summary | object | — | LLM-generated summary |
maxAgeHours | integer | — | Cache freshness; triggers live crawl if stale |
subpages | integer | — | Number of subpages to also crawl |
Response:
{
"results": [
{
"url": "https://example.com/page1",
"title": "Page Title",
"author": "Author Name",
"text": "Full extracted page content..."
}
],
"costDollars": { "total": 0.001 }
}
https://stableenrich.dev/api/exa/answerRequest:
obulx -X POST -H "Content-Type: application/json" \
-d '{
"query": "What are the latest developments in x402 payments?",
"text": true
}' \
"https://stableenrich.dev/api/exa/answer"
Response: JSON object with an AI-generated answer and an array of cited source results.
"type": "keyword" for exact-match searches, "neural" for semantic, "auto" to let Exa decidecategory parameter significantly improves result quality when you know the content typecontents is useful when you already have URLs and just need to extract their textstableenrich.devnpx claudepluginhub polymerdao/pay-plugin --plugin obul-searchExecutes Exa neural search with content extraction, date/domain filters for RAG pipelines, semantic queries, and web search features.
Performs web searches, extracts content from URLs, and researches topics requiring up-to-date information. Supports search operators, URL extraction, and structured research.
Performs semantic search, discovers similar content, and conducts structured research using Exa API. Useful for embeddings-based queries, similarity searches, or category lookups (companies, people, papers).