Find similar content, extract pages, and run deep research
Exa - Neural Web Search & Research

Neural web search - find similar content, extract pages, and run deep research
---
name: web-search-exa
description: Neural web search - find similar content, extract pages, and run deep research
source: orthogonal
---
# Exa - Neural Web Search & Research
## Setup
Read your credentials from ~/.gooseworks/credentials.json:
```bash
export GOOSEWORKS_API_KEY=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json'))['api_key'])")
export GOOSEWORKS_API_BASE=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json')).get('api_base','https://api.gooseworks.ai'))")
```
If ~/.gooseworks/credentials.json does not exist, tell the user to run: `npx gooseworks login`Overview
If ~/.gooseworks/credentials.json does not exist, tell the user to run: npx gooseworks login
What you get
- Exa ResearchRetrieve a paginated list of your research tasks
- AnswerGet an LLM answer to a question informed by Exa search results
- SearchThe search endpoint lets you intelligently search the web and extract contents from the results
- Get a taskRetrieve the status and results of a previously created research task
- Find similar linksFind similar links to the link provided and optionally return the contents of the pages
- Create a taskCreate an asynchronous research task that explores the web, gathers sources, synthesizes findings, and returns results with citations
Manual install (npx, ZIP)
npx skills add gooseworks-ai/goose-skills --skill web-search-exa -g -a claude-codemkdir -p ~/.claude/skills && curl -sL https://codeload.github.com/gooseworks-ai/goose-skills/tar.gz/615c685f34f8 \
| tar -xz -C ~/.claude/skills --strip-components=4 goose-skills-615c685f34f8/skills/research-tools/capabilities/web-search-exaNew-Item -ItemType Directory -Force "$HOME\.claude\skills" | Out-Null; Invoke-WebRequest "https://m.agentalley.io/zip/2df51086d094bb375a4f/web-search-exa.zip" -OutFile "$env:TEMP\web-search-exa.zip"; Expand-Archive "$env:TEMP\web-search-exa.zip" -DestinationPath "$HOME\.claude\skills" -ForceConnects with Agent Alley MCP · agentalley.io/mcp
Files included
SKILL.md13.1 KBskill.meta.json283 B
Read the files here
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Exa - Neural Web Search & Research
Setup
Read your credentials from ~/.gooseworks/credentials.json:
export GOOSEWORKS_API_KEY=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json'))['api_key'])")
export GOOSEWORKS_API_BASE=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json')).get('api_base','https://api.gooseworks.ai'))")
If ~/.gooseworks/credentials.json does not exist, tell the user to run: npx gooseworks login
All endpoints use Bearer auth: -H "Authorization: Bearer $GOOSEWORKS_API_KEY"
Neural search engine for finding similar content, extracting pages, and deep research.
Capabilities
- Exa Research: Retrieve a paginated list of your research tasks
- Answer: Get an LLM answer to a question informed by Exa search results
- Search: The search endpoint lets you intelligently search the web and extract contents from the results
- Get a task: Retrieve the status and results of a previously created research task
- Find similar links: Find similar links to the link provided and optionally return the contents of the pages
- Create a task: Create an asynchronous research task that explores the web, gathers sources, synthesizes findings, and returns results with citations
- Get contents: Get the full page contents, summaries, and metadata for a list of URLs
Usage
Exa Research
Retrieve a paginated list of your research tasks. The response follows a cursor-based pagination pattern. Pass the limit parameter to control page size (max 50) and use the cursor token returned in the response to fetch subsequent pages.
Parameters:
- cursor (string) - The cursor to paginate through the results Minimum string length:
1 - limit (number) - Number of results per page (1-50) Required range:
1 <= x <= 50
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"exa","path":"/research/v1"}'
Answer
Get an LLM answer to a question informed by Exa search results. /answer performs an Exa search and uses an LLM to generate either:
A direct answer for specific queries. (i.e.
Parameters:
- query* (string) - The question or query to answer.
- stream (boolean) - If true, the response is returned as a server-sent events (SSS) stream.
- text (boolean) - If true, the response includes full text content in the search results
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"exa","path":"/answer","body":{"query":"What are the best practices for prompt engineering?"}}'
Search
The search endpoint lets you intelligently search the web and extract contents from the results.By default, it automatically chooses the best search method using Exa’s embeddings-based model and other techniques to find the most relevant results for your query.
Parameters:
- query* (string) - The query string for the search.
- additionalQueries (string[]) - Additional query variations for deep search. Only works with type="deep". When provided, these queries are used alongside the main query for comprehensive results.
- type (enum<string>) - The type of search. Neural uses an embeddings-based model, auto (default) intelligently combines neural and other search methods, fast uses streamlined versions of the search models, and deep provides comprehensive search with query expansion and detailed context.
- category (enum<string>) - A data category to focus on. The people and company categories have improved quality for finding LinkedIn profiles and company pages. Note: The company and people categories only support a limited set of filters. The following parameters are NOT supported for these categories: startPublishedDate, endPublishedDate, startCrawlDate, endCrawlDate, includeText, excludeText, excludeDomains. For people category, includeDomains only accepts LinkedIn domains. Using unsupported parameters will result in a 400 error.
- userLocation (string) - The two-letter ISO country code of the user, e.g. US.
- numResults (integer) - Number of results to return. Limits vary by search type: With "neural": max 100 results With "deep": max 100 results If you want to increase the num results beyond these limits, contact sales ([email protected])
- includeDomains (string[]) - List of domains to include in the search. If specified, results will only come from these domains.
- excludeDomains (string[]) - List of domains to exclude from search results. If specified, no results will be returned from these domains.
- startCrawlDate (string<date-time>) - Crawl date refers to the date that Exa discovered a link. Results will include links that were crawled after this date. Must be specified in ISO 8601 format.
- endCrawlDate (string<date-time>) - Crawl date refers to the date that Exa discovered a link. Results will include links that were crawled before this date. Must be specified in ISO 8601 format.
- startPublishedDate (string<date-time>) - Only links with a published date after this will be returned. Must be specified in ISO 8601 format.
- endPublishedDate (string<date-time>) - Only links with a published date before this will be returned. Must be specified in ISO 8601 format.
- includeText (string[]) - List of strings that must be present in webpage text of results. Currently, only 1 string is supported, of up to 5 words.
- excludeText (string[]) - List of strings that must not be present in webpage text of results. Currently, only 1 string is supported, of up to 5 words. Checks from the first 1000 words of the webpage text.
- context (string) - Return page contents as a context string for LLM. When true, combines all result contents into one string. We recommend using 10000+ characters for best results, though no limit works best. Context strings often perform better than highlights for RAG applications.
- moderation (boolean) - Enable content moderation to filter unsafe content from search results.
- contents (object)
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"exa","path":"/search"}'
"query": "startups building AI coding assistants",
"num_results": 10,
"contents": {"text": true}
}'
Get a task
Retrieve the status and results of a previously created research task.Use the unique researchId returned from POST /research/v1 to poll until the task is finished.
Parameters:
- stream (string) - Set to "true" to receive real-time updates via Server-Sent Events (SSE)
- events (string) - Set to "true" to include the detailed event log of all operations performed
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"exa","path":"/research/v1/{researchId}"}'
Find similar links
Find similar links to the link provided and optionally return the contents of the pages.
Parameters:
- url* (string) - The url for which you would like to find similar links.
- numResults (integer) - Number of results to return. Limits vary by search type: With "neural": max 100 results With "deep": max 100 results If you want to increase the num results beyond these limits, contact sales ([email protected])
- includeDomains (string[]) - List of domains to include in the search. If specified, results will only come from these domains.
- excludeDomains (string[]) - List of domains to exclude from search results. If specified, no results will be returned from these domains.
- startCrawlDate (string<date-time>) - Crawl date refers to the date that Exa discovered a link. Results will include links that were crawled after this date. Must be specified in ISO 8601 format.
- endCrawlDate (string<date-time>) - Crawl date refers to the date that Exa discovered a link. Results will include links that were crawled before this date. Must be specified in ISO 8601 format.
- startPublishedDate (string<date-time>) - Only links with a published date after this will be returned. Must be specified in ISO 8601 format.
- endPublishedDate (string<date-time>) - Only links with a published date before this will be returned. Must be specified in ISO 8601 format.
- includeText (string[]) - List of strings that must be present in webpage text of results. Currently, only 1 string is supported, of up to 5 words.
- excludeText (string[]) - List of strings that must not be present in webpage text of results. Currently, only 1 string is supported, of up to 5 words. Checks from the first 1000 words of the webpage text.
- context (string) - Return page contents as a context string for LLM. When true, combines all result contents into one string. We recommend using 10000+ characters for best results, though no limit works best. Context strings often perform better than highlights for RAG applications.
- moderation (boolean) - Enable content moderation to filter unsafe content from search results.
- contents (object)
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"exa","path":"/findSimilar"}'
"url": "https://example.com/article",
"num_results": 10
}'
Create a task
Create an asynchronous research task that explores the web, gathers sources, synthesizes findings, and returns results with citations.
Parameters:
- instructions* (string) - Instructions for what you would like research on. A good prompt clearly defines what information you want to find, how research should be conducted, and what the output should look like.
- model (enum<string>) - Research model to use. exa-research is faster and cheaper, while exa-research-pro provides more thorough analysis and stronger reasoning.
- outputSchema (object) - JSON Schema to enforce structured output. When provided, the research output will be validated against this schema and returned as parsed JSON.
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"exa","path":"/research/v1","body":{"instructions":"Research the current state of AI coding assistants"}}'
Get contents
Get the full page contents, summaries, and metadata for a list of URLs.Returns instant results from our cache, with automatic live crawling as fallback for uncached pages.
Parameters:
- urls* (string[]) - Array of URLs to crawl (backwards compatible with 'ids' parameter).
- ids (string[]) - Deprecated - use 'urls' instead. Array of document IDs obtained from searches.
- text (string) - If true, returns full page text with default settings. If false, disables text return.
- highlights (object) - Text snippets the LLM identifies as most relevant from each page.
- summary (object) - Summary of the webpage
- livecrawl (enum<string>) - Options for livecrawling pages.'never': Disable livecrawling (default for neural search).'fallback': Livecrawl when cache is empty.'preferred': Always try to livecrawl, but fall back to cache if crawling fails.'always': Always live-crawl, never use cache. Only use if you cannot tolerate any cached content. This option is not recommended unless consulted with the Exa team.
- livecrawlTimeout (integer) - The timeout for livecrawling in milliseconds.
- subpages (integer) - The number of subpages to crawl. The actual number crawled may be limited by system constraints.
- subpageTarget (string) - Term to find specific subpages of search results. Can be a single string or an array of strings, comma delimited.
- extras (object) - Extra parameters to pass.
- context (string) - Return page contents as a context string for LLM. When true, combines all result contents into one string. We recommend using 10000+ characters for best results, though no limit works best. Context strings often perform better than highlights for RAG applications.
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"exa","path":"/contents"}'
"ids": ["https://example.com"],
"text": true,
"summary": true
}'
Use Cases
- Competitive Research: Find companies similar to competitors
- Content Discovery: Find related articles and resources
- Market Research: Discover companies in specific niches
- Fact-Finding: Get sourced answers to questions
- Deep Research: Comprehensive research on complex topics
Discover More
For full endpoint details and parameters:
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/search \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"prompt":"exa API endpoints"}' List all endpoints
curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/details \
-H "Authorization: Bearer $GOOSEWORKS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"api":"exa","path":"/research"}' # Get endpoint details
| 1 | |
| 2 | name web-search-exa |
| 3 | description Neural web search - find similar content, extract pages, and run deep research |
| 4 | source orthogonal |
| 5 | |
| 6 | |
| 7 | |
| 8 | # Exa - Neural Web Search & Research |
| 9 | |
| 10 | ## Setup |
| 11 | |
| 12 | Read your credentials from ~/.gooseworks/credentials.json: |
| 13 | |
| 14 | export GOOSEWORKS_API_KEY=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json'))['api_key'])") |
| 15 | export GOOSEWORKS_API_BASE=$(python3 -c "import json;print(json.load(open('$HOME/.gooseworks/credentials.json')).get('api_base','https://api.gooseworks.ai'))") |
| 16 | |
| 17 | |
| 18 | If ~/.gooseworks/credentials.json does not exist, tell the user to run: `npx gooseworks login` |
| 19 | |
| 20 | All endpoints use Bearer auth: `-H "Authorization: Bearer $GOOSEWORKS_API_KEY"` |
| 21 | |
| 22 | |
| 23 | Neural search engine for finding similar content, extracting pages, and deep research. |
| 24 | |
| 25 | ## Capabilities |
| 26 | |
| 27 | **Exa Research**: Retrieve a paginated list of your research tasks |
| 28 | **Answer**: Get an LLM answer to a question informed by Exa search results |
| 29 | **Search**: The search endpoint lets you intelligently search the web and extract contents from the results |
| 30 | **Get a task**: Retrieve the status and results of a previously created research task |
| 31 | **Find similar links**: Find similar links to the link provided and optionally return the contents of the pages |
| 32 | **Create a task**: Create an asynchronous research task that explores the web, gathers sources, synthesizes findings, and returns results with citations |
| 33 | **Get contents**: Get the full page contents, summaries, and metadata for a list of URLs |
| 34 | |
| 35 | ## Usage |
| 36 | |
| 37 | ### Exa Research |
| 38 | Retrieve a paginated list of your research tasks. The response follows a cursor-based pagination pattern. Pass the `limit` parameter to control page size (max 50) and use the `cursor` token returned in the response to fetch subsequent pages. |
| 39 | |
| 40 | Parameters: |
| 41 | cursor (string) - The cursor to paginate through the results Minimum string length: `1` |
| 42 | limit (number) - Number of results per page (1-50) Required range: `1 <= x <= 50` |
| 43 | |
| 44 | |
| 45 | curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \ |
| 46 | -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \ |
| 47 | -H "Content-Type: application/json" \ |
| 48 | -d '{"api":"exa","path":"/research/v1"}' |
| 49 | |
| 50 | |
| 51 | ### Answer |
| 52 | Get an LLM answer to a question informed by Exa search results. /answer performs an Exa search and uses an LLM to generate either: |
| 53 | |
| 54 | A direct answer for specific queries. (i.e. |
| 55 | |
| 56 | Parameters: |
| 57 | query* (string) - The question or query to answer. |
| 58 | stream (boolean) - If true, the response is returned as a server-sent events (SSS) stream. |
| 59 | text (boolean) - If true, the response includes full text content in the search results |
| 60 | |
| 61 | |
| 62 | curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \ |
| 63 | -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \ |
| 64 | -H "Content-Type: application/json" \ |
| 65 | -d '{"api":"exa","path":"/answer","body":{"query":"What are the best practices for prompt engineering?"}}' |
| 66 | |
| 67 | |
| 68 | ### Search |
| 69 | The search endpoint lets you intelligently search the web and extract contents from the results.By default, it automatically chooses the best search method using Exa’s embeddings-based model and other techniques to find the most relevant results for your query. |
| 70 | |
| 71 | Parameters: |
| 72 | query* (string) - The query string for the search. |
| 73 | additionalQueries (string[]) - Additional query variations for deep search. Only works with type="deep". When provided, these queries are used alongside the main query for comprehensive results. |
| 74 | type (enum<string>) - The type of search. Neural uses an embeddings-based model, auto (default) intelligently combines neural and other search methods, fast uses streamlined versions of the search models, and deep provides comprehensive search with query expansion and detailed context. |
| 75 | category (enum<string>) - A data category to focus on. The people and company categories have improved quality for finding LinkedIn profiles and company pages. Note: The company and people categories only support a limited set of filters. The following parameters are NOT supported for these categories: startPublishedDate, endPublishedDate, startCrawlDate, endCrawlDate, includeText, excludeText, excludeDomains. For people category, includeDomains only accepts LinkedIn domains. Using unsupported parameters will result in a 400 error. |
| 76 | userLocation (string) - The two-letter ISO country code of the user, e.g. US. |
| 77 | numResults (integer) - Number of results to return. Limits vary by search type: With "neural": max 100 results With "deep": max 100 results If you want to increase the num results beyond these limits, contact sales ([email protected]) |
| 78 | includeDomains (string[]) - List of domains to include in the search. If specified, results will only come from these domains. |
| 79 | excludeDomains (string[]) - List of domains to exclude from search results. If specified, no results will be returned from these domains. |
| 80 | startCrawlDate (string<date-time>) - Crawl date refers to the date that Exa discovered a link. Results will include links that were crawled after this date. Must be specified in ISO 8601 format. |
| 81 | endCrawlDate (string<date-time>) - Crawl date refers to the date that Exa discovered a link. Results will include links that were crawled before this date. Must be specified in ISO 8601 format. |
| 82 | startPublishedDate (string<date-time>) - Only links with a published date after this will be returned. Must be specified in ISO 8601 format. |
| 83 | endPublishedDate (string<date-time>) - Only links with a published date before this will be returned. Must be specified in ISO 8601 format. |
| 84 | includeText (string[]) - List of strings that must be present in webpage text of results. Currently, only 1 string is supported, of up to 5 words. |
| 85 | excludeText (string[]) - List of strings that must not be present in webpage text of results. Currently, only 1 string is supported, of up to 5 words. Checks from the first 1000 words of the webpage text. |
| 86 | context (string) - Return page contents as a context string for LLM. When true, combines all result contents into one string. We recommend using 10000+ characters for best results, though no limit works best. Context strings often perform better than highlights for RAG applications. |
| 87 | moderation (boolean) - Enable content moderation to filter unsafe content from search results. |
| 88 | contents (object) |
| 89 | |
| 90 | |
| 91 | curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \ |
| 92 | -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \ |
| 93 | -H "Content-Type: application/json" \ |
| 94 | -d '{"api":"exa","path":"/search"}' |
| 95 | "query": "startups building AI coding assistants", |
| 96 | "num_results": 10, |
| 97 | "contents": {"text": true} |
| 98 | }' |
| 99 | |
| 100 | |
| 101 | ### Get a task |
| 102 | Retrieve the status and results of a previously created research task.Use the unique researchId returned from POST /research/v1 to poll until the task is finished. |
| 103 | |
| 104 | Parameters: |
| 105 | stream (string) - Set to "true" to receive real-time updates via Server-Sent Events (SSE) |
| 106 | events (string) - Set to "true" to include the detailed event log of all operations performed |
| 107 | |
| 108 | |
| 109 | curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \ |
| 110 | -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \ |
| 111 | -H "Content-Type: application/json" \ |
| 112 | -d '{"api":"exa","path":"/research/v1/{researchId}"}' |
| 113 | |
| 114 | |
| 115 | ### Find similar links |
| 116 | Find similar links to the link provided and optionally return the contents of the pages. |
| 117 | |
| 118 | Parameters: |
| 119 | url* (string) - The url for which you would like to find similar links. |
| 120 | numResults (integer) - Number of results to return. Limits vary by search type: With "neural": max 100 results With "deep": max 100 results If you want to increase the num results beyond these limits, contact sales ([email protected]) |
| 121 | includeDomains (string[]) - List of domains to include in the search. If specified, results will only come from these domains. |
| 122 | excludeDomains (string[]) - List of domains to exclude from search results. If specified, no results will be returned from these domains. |
| 123 | startCrawlDate (string<date-time>) - Crawl date refers to the date that Exa discovered a link. Results will include links that were crawled after this date. Must be specified in ISO 8601 format. |
| 124 | endCrawlDate (string<date-time>) - Crawl date refers to the date that Exa discovered a link. Results will include links that were crawled before this date. Must be specified in ISO 8601 format. |
| 125 | startPublishedDate (string<date-time>) - Only links with a published date after this will be returned. Must be specified in ISO 8601 format. |
| 126 | endPublishedDate (string<date-time>) - Only links with a published date before this will be returned. Must be specified in ISO 8601 format. |
| 127 | includeText (string[]) - List of strings that must be present in webpage text of results. Currently, only 1 string is supported, of up to 5 words. |
| 128 | excludeText (string[]) - List of strings that must not be present in webpage text of results. Currently, only 1 string is supported, of up to 5 words. Checks from the first 1000 words of the webpage text. |
| 129 | context (string) - Return page contents as a context string for LLM. When true, combines all result contents into one string. We recommend using 10000+ characters for best results, though no limit works best. Context strings often perform better than highlights for RAG applications. |
| 130 | moderation (boolean) - Enable content moderation to filter unsafe content from search results. |
| 131 | contents (object) |
| 132 | |
| 133 | |
| 134 | curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \ |
| 135 | -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \ |
| 136 | -H "Content-Type: application/json" \ |
| 137 | -d '{"api":"exa","path":"/findSimilar"}' |
| 138 | "url": "https://example.com/article", |
| 139 | "num_results": 10 |
| 140 | }' |
| 141 | |
| 142 | |
| 143 | ### Create a task |
| 144 | Create an asynchronous research task that explores the web, gathers sources, synthesizes findings, and returns results with citations. |
| 145 | |
| 146 | Parameters: |
| 147 | instructions* (string) - Instructions for what you would like research on. A good prompt clearly defines what information you want to find, how research should be conducted, and what the output should look like. |
| 148 | model (enum<string>) - Research model to use. exa-research is faster and cheaper, while exa-research-pro provides more thorough analysis and stronger reasoning. |
| 149 | outputSchema (object) - JSON Schema to enforce structured output. When provided, the research output will be validated against this schema and returned as parsed JSON. |
| 150 | |
| 151 | |
| 152 | curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \ |
| 153 | -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \ |
| 154 | -H "Content-Type: application/json" \ |
| 155 | -d '{"api":"exa","path":"/research/v1","body":{"instructions":"Research the current state of AI coding assistants"}}' |
| 156 | |
| 157 | |
| 158 | ### Get contents |
| 159 | Get the full page contents, summaries, and metadata for a list of URLs.Returns instant results from our cache, with automatic live crawling as fallback for uncached pages. |
| 160 | |
| 161 | Parameters: |
| 162 | urls* (string[]) - Array of URLs to crawl (backwards compatible with 'ids' parameter). |
| 163 | ids (string[]) - Deprecated - use 'urls' instead. Array of document IDs obtained from searches. |
| 164 | text (string) - If true, returns full page text with default settings. If false, disables text return. |
| 165 | highlights (object) - Text snippets the LLM identifies as most relevant from each page. |
| 166 | summary (object) - Summary of the webpage |
| 167 | livecrawl (enum<string>) - Options for livecrawling pages.'never': Disable livecrawling (default for neural search).'fallback': Livecrawl when cache is empty.'preferred': Always try to livecrawl, but fall back to cache if crawling fails.'always': Always live-crawl, never use cache. Only use if you cannot tolerate any cached content. This option is not recommended unless consulted with the Exa team. |
| 168 | livecrawlTimeout (integer) - The timeout for livecrawling in milliseconds. |
| 169 | subpages (integer) - The number of subpages to crawl. The actual number crawled may be limited by system constraints. |
| 170 | subpageTarget (string) - Term to find specific subpages of search results. Can be a single string or an array of strings, comma delimited. |
| 171 | extras (object) - Extra parameters to pass. |
| 172 | context (string) - Return page contents as a context string for LLM. When true, combines all result contents into one string. We recommend using 10000+ characters for best results, though no limit works best. Context strings often perform better than highlights for RAG applications. |
| 173 | |
| 174 | |
| 175 | curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/run \ |
| 176 | -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \ |
| 177 | -H "Content-Type: application/json" \ |
| 178 | -d '{"api":"exa","path":"/contents"}' |
| 179 | "ids": ["https://example.com"], |
| 180 | "text": true, |
| 181 | "summary": true |
| 182 | }' |
| 183 | |
| 184 | |
| 185 | ## Use Cases |
| 186 | |
| 187 | **Competitive Research**: Find companies similar to competitors |
| 188 | **Content Discovery**: Find related articles and resources |
| 189 | **Market Research**: Discover companies in specific niches |
| 190 | **Fact-Finding**: Get sourced answers to questions |
| 191 | **Deep Research**: Comprehensive research on complex topics |
| 192 | |
| 193 | ## Discover More |
| 194 | |
| 195 | For full endpoint details and parameters: |
| 196 | |
| 197 | |
| 198 | curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/search \ |
| 199 | -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \ |
| 200 | -H "Content-Type: application/json" \ |
| 201 | -d '{"prompt":"exa API endpoints"}' List all endpoints |
| 202 | curl -s -X POST $GOOSEWORKS_API_BASE/v1/proxy/orthogonal/details \ |
| 203 | -H "Authorization: Bearer $GOOSEWORKS_API_KEY" \ |
| 204 | -H "Content-Type: application/json" \ |
| 205 | -d '{"api":"exa","path":"/research"}' # Get endpoint details |
| 206 | |
| 207 |
Details
- Updated
- Sep 21, 2026
- License
- MIT
- Stars on the repo
- ★ 1,220
- Checked
- Source
- gooseworks-ai/goose-skills ↗
- Creator
- gooseworks-ai · 206 listings
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