Archived skill guidance for tavily.
Scanned 9/2/2026
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---
name: tavily
description: Archived skill guidance for tavily.
---
---
name: tavily
description: "Tavily AI search API for LLM applications: web search, content extraction, site crawling, mapping, and research. Keywords: Tavily, AI search, RAG, web search API, LLM search, extract, crawl, map, research, tavily-python."
version: "0.7.21"
release_date: "2026-01-30"
# Tavily
AI-optimized search engine for building LLM applications with real-time web data.
## Quick Navigation
| Topic | Reference |
| -------------- | ------------------------------------------------- |
| REST API | [api.md](references/api.md) |
| Python SDK | [python.md](references/python.md) |
| JavaScript SDK | [javascript.md](references/javascript.md) |
| Best Practices | [best-practices.md](references/best-practices.md) |
| Integrations | [integrations.md](references/integrations.md) |
## When to Use
- Building RAG applications with real-time web data
- AI agents that need current information
- Content extraction from web pages
- Site crawling with AI-guided instructions
- Autonomous research tasks
## Installation
```bash
# Python
pip install tavily-python
# JavaScript
npm i @tavily/core
```
## Quick Start
### Python
```python
from tavily import TavilyClient
client = TavilyClient(api_key="tvly-YOUR_API_KEY")
response = client.search("What is the latest news about AI?")
print(response)
```
### JavaScript
```javascript
import { tavily } from "@tavily/core";
const client = tavily({ apiKey: "tvly-YOUR_API_KEY" });
const response = await client.search("What is the latest news about AI?");
console.log(response);
```
### cURL
```bash
curl -X POST https://api.tavily.com/search \
-H "Content-Type: application/json" \
-H "Authorization: Bearer tvly-YOUR_API_KEY" \
-d '{"query": "What is the latest news about AI?"}'
```
## Core APIs
| API | Purpose | Credits |
| -------- | ------------------------------- | ---------------- |
| Search | Web search optimized for LLMs | 1-2 per request |
| Extract | Extract content from URLs | 1-2 per 5 URLs |
| Map | Map website structure | 1-2 per 10 pages |
| Crawl | Crawl + extract from sites | Map + Extract |
| Research | Autonomous deep research (beta) | 4-250 per task |
## Pricing & Credits
**Free tier:** 1,000 credits/month (no credit card required)
| Plan | Credits/month | Price/credit |
| ---------- | ------------- | ------------ |
| Researcher | 1,000 | Free |
| Project | 4,000 | $0.0075 |
| Bootstrap | 15,000 | $0.0067 |
| Startup | 38,000 | $0.0058 |
| Growth | 100,000 | $0.005 |
| Pay-as-go | Per usage | $0.008 |
### Credit Costs
| API | Basic | Advanced |
| --------------- | ------------------- | ---------- |
| Search | 1 | 2 |
| Extract | 1/5 URLs | 2/5 URLs |
| Map | 1/10 pages | 2/10 pages |
| Crawl | Map + Extract costs |
| Research (mini) | 4-110 | - |
| Research (pro) | 15-250 | - |
## Rate Limits
| Environment | RPM (requests/min) |
| ----------- | ------------------ |
| Development | 100 |
| Production | 1,000 |
**Note:** Crawl endpoint limited to 100 RPM for both environments.
Production keys require paid plan or PAYGO enabled.
## Search API
Primary endpoint for LLM-optimized web search.
```python
response = client.search(
query="Latest AI developments",
search_depth="advanced", # "basic" (1 credit) or "advanced" (2 credits)
max_results=10, # 1-20 results
include_answer=True, # Include AI-generated answer
include_raw_content=False, # Include raw HTML
include_domains=["arxiv.org"], # Filter to specific domains
exclude_domains=["pinterest.com"] # Exclude domains
)
```
### Response Structure
```python
{
"query": "...",
"answer": "AI-generated summary...", # if include_answer=True
"results": [
{
"title": "Page Title",
"url": "https://...",
"content": "Extracted relevant content...",
"score": 0.95,
"raw_content": "..." # if include_raw_content=True
}
]
}
```
## Extract API
Extract content from specific URLs.
```python
response = client.extract(
urls=["https://example.com/article1", "https://example.com/article2"],
extract_depth="basic" # "basic" or "advanced"
)
```
## Crawl API
Crawl websites with AI-guided instructions.
```python
response = client.crawl(
url="https://docs.example.com",
instructions="Find all pages about Python SDK", # Optional AI guidance
max_depth=2,
limit=50
)
```
## Map API
Get website structure without extracting content.
```python
response = client.map(
url="https://docs.example.com",
instructions="Find documentation pages" # Optional
)
```
## Research API (Beta)
Autonomous deep research on complex topics.
```python
response = client.research(
input="What are the implications of quantum computing on cryptography?",
model="pro" # "pro" (15-250 credits) or "mini" (4-110 credits)
)
```
## Why Tavily?
| Feature | Traditional Search | Tavily |
| ---------------- | ------------------ | ------------- |
| Output | URLs + snippets | Full content |
| Scraping | Manual | Built-in |
| LLM optimization | None | Purpose-built |
| Filtering | Manual | AI-powered |
| Context limits | Not handled | Optimized |
## Best Practices
1. **Use `search_depth="basic"`** for simple queries (saves credits)
2. **Use `include_answer=True`** for quick summaries
3. **Filter domains** to improve relevance
4. **Use Extract** when you know specific URLs
5. **Use Research** for complex, multi-step queries
## Prohibitions
- Do not expose API keys in client-side code
- Do not exceed rate limits (implement backoff)
- Do not scrape sites that block Tavily crawler
## Links
- [API Playground](https://app.tavily.com/playground)
- [Documentation](https://docs.tavily.com)
- [Community](https://discord.gg/tavily)
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