Composio Search

Search Amazon for products across different country marketplaces. This tool searches Amazon's product catalog with support for multiple international Amazon domains/marketplaces. Each domain serves a different country with local pricing, currency, shipping options, and product availability. Perfect for product research, international price comparison, and finding products available in specific countries. Returns product details, pricing in local currency, ratings, reviews, and seller information. Examples: query="gaming laptop" + amazon_domain="amazon.com" for US marketplace query="coffee maker" + amazon_domain="amazon.de" for German marketplace query="iPhone 15" + amazon_domain="amazon.co.uk" for UK marketplace with GBP pricing

The DuckDuckGoSearch class utilizes the Composio DuckDuckGo Search API to perform searches, focusing on web information and details. It leverages the DuckDuckGo search engine via the Composio DuckDuckGo Search API to retrieve relevant web data based on the provided query.

Search for upcoming events, concerts, festivals, conferences, and other activities. Supports location-based search (city, neighborhood, address), date filtering (today, tomorrow, weekend, next week/month), virtual event discovery, international search with 100+ languages and countries, and pagination. If results are sparse or events_results_state is 'Fully empty', treat as limited coverage and try COMPOSIO_SEARCH_WEB instead of retrying. Rate limit: ~2 requests/second; apply exponential backoff (1s, 2s, 4s) on 429 errors. Examples: "Tech conferences" in "San Francisco, CA" with gl="us" and hl="en" | "Virtual networking events" with htichips="event_type:Virtual-Event,date:next_week" | "Music festivals" in "London, UK" with gl="uk" and hl="en"

Get answers with citations using the Exa API. DEPRECATED: Use COMPOSIO_SEARCH_WEB instead.

Perform a search to find similar links and retrieve a list of relevant results. The search can optionally return contents.

Fetch and extract clean, readable page text (markdown) from public web pages (HTML content) using the Exa API. Use when you need to retrieve actual content from search results or documentation links to extract setup steps, requirements, or citations. Only works with web page URLs - does not support direct links to images, PDFs, or other binary files.

Get real-time stock prices, market data, financial news, and company information with historical analysis. Retrieves stock quotes, market indices, cryptocurrency prices, exchange rates, and financial news. Supports discrete time windows (1D, 5D, 1M, 6M, YTD, 1Y, 5Y, MAX) for historical analysis. Returns numeric time-series graph data, summary information, and key events (6M+ windows only). Always verify finance_results_state in the response — HTTP 200 with status='Success' can still return empty data. Derived indicators (MACD, moving averages) are not included and must be computed from returned price series. Examples: query="AAPL:NASDAQ" + window="1Y" for Apple's 1-year chart query="GOOGL:NASDAQ" + window="6M" + hl="en" for Alphabet with news events query="WMT:NYSE" + window="MAX" for Walmart's full history query="BTC-USD" for Bitcoin query="EUR-USD" for Euro/USD rate

Search for flights with comprehensive pricing, schedule, and airline information. This tool finds available flights between cities/airports with detailed pricing, multiple airlines, departure/arrival times, flight duration, and booking options. Supports round-trip and one-way searches, multiple passenger types (adults, children, infants), different travel classes, and international pricing in various currencies. Perfect for travel planning, price comparison, and finding the best flight options. You can use either: 1. Natural language query: query="Lahore to San Francisco" or query="NYC to London on March 15, 2025" 2. Structured parameters: departure_id="JFK", arrival_id="LAX", outbound_date="2025-12-25" Examples: query="Lahore to San Francisco" query="New York to London on December 25, 2025" departure_id="JFK" + arrival_id="LAX" + outbound_date="2025-12-25" + return_date="2025-12-30" departure_id="LGA" + arrival_id="LHR" + outbound_date="2025-06-01" + adults=2

Performs a location-specific search via the Composio Google Maps Search API, returning results under `results.local_results` (multi-place queries) or `results.place_results` (single place); always handle both branches. Fields like `opening_hours`, `phone`, `rating`, and `user_reviews` may be absent — treat missing values as unknown. Check `business_status`: closed businesses (`CLOSED_PERMANENTLY`, `TEMPORARILY_CLOSED`) can appear in results; filter for `OPERATIONAL` entries. Rate-limit calls to ~1 req/sec; HTTP 429 / `OVER_QUERY_LIMIT` indicates quota exhaustion. `gps_coordinates` may appear under `place_results` or inside individual `local_results` items.

Execute fast LLM inference using Groq's optimized hardware and API. Groq provides ultra-fast inference for open-source models including LLaMA 3, Mixtral, and Gemma via OpenAI-compatible chat completions API. Use cases: real-time chat, content generation, Q&A, code generation, summarization, translation. For structured JSON output, instruct the model explicitly to return valid JSON with no markdown code fences or prose; validate with json.loads — batches of 150+ items are prone to malformed JSON. Strip triple-backtick wrappers from code/JSON outputs before parsing. Always validate that the response contains at least one choice with non-empty message.content before downstream use. On HTTP 429 or 5xx errors, use exponential backoff with a small retry cap; limit concurrency to ~3 concurrent calls. Model-reported character/word counts are approximate — verify independently when strict limits matter.

Search for hotels and vacation rentals with comprehensive filtering and pricing. Returns results under results.properties and results.ads; extract numeric pricing from rate_per_night.extracted_lowest, total_rate.extracted_lowest, or extracted_price (fields vary by property). Deduplicate across sections using property_token. Additional pages available via serpapi_pagination.next_page_token. Start with minimal filters — combining max_price, min_price, hotel_class, free_cancellation, gl, or hl too strictly can return empty results. Examples: q="New York" + check_in_date="2025-06-01" + check_out_date="2025-06-05" + adults=2 q="Paris" + check_in_date="2025-03-15" + check_out_date="2025-03-18" + min_price=100 + max_price=300 q="Tokyo" + check_in_date="2025-12-20" + check_out_date="2025-12-25" + hotel_class="4,5" + sort_by=3

The ImageSearch class performs an image search using the Composio Image Search API, targeting image metadata and URLs (not binary data) via Google Images. Returns results under `results.images_results`; each entry exposes `original` (full resolution) and `thumbnail` (low resolution) URLs — verify URLs are publicly accessible before passing downstream. Check `license_details_url` per result before commercial reuse. The number of results is controlled by `num` (1–100, default 20). For >100 images, paginate using `serpapi_pagination.next`. Rate limit: throttle to ~1–2 calls/second; apply exponential backoff on HTTP 429.

Search for the latest news articles and current events with smart filtering. Searches news-oriented sources only (not blogs, docs, or company pages). Results nest under `data.results.news_results`; a 200 response with empty `news_results` or `news_results_state: 'Fully empty'` means no results — broaden query or `when` window. Auto-correction (`showing_results_for`) can silently redirect queries; verify returned articles match intended topic. Only first page returned by default; follow `pagination.next` for more pages. Supports 100+ languages and countries. Use advanced operators like 'site:' for publisher filtering directly in your query. Examples: query="artificial intelligence" + when="w" for past week's AI news query="climate change" + gl="us" + hl="en" for US climate news query="business news" + when="d" for today's business news query="site:bbc.com tesla" + when="d" for today's BBC Tesla news

Lookup US healthcare provider details from the CMS NPI Registry (NPPES) using an NPI number or search filters. Returns normalized structured fields including provider name, taxonomy/specialty, addresses, identifiers, and endpoints. Use this for deterministic, authoritative provider lookups when you need structured NPI/NPPES data rather than noisy web search results.

Scholar API scrapes Google Scholar search results via SERP API, returning academic papers and scholarly articles. Results are nested under results.organic_results; access this key explicitly and use defensive .get() patterns as fields like DOI, citation_count, and author may be absent. Many results are paywalled — rely on titles, abstracts, and snippets when full text is unavailable. Results may include duplicate preprint and journal versions of the same work — deduplicate by DOI or normalized title. Only the first page is returned by default; follow pagination.next for additional pages. PDF links appear only under organic_results[n].resources where file_format is 'PDF'. Results may lag on recent work.

Retrieve authoritative SEC EDGAR filing metadata (10-K/10-Q/8-K etc.) and construct primary document/index URLs using SEC's public data APIs. Use when you need to search for company financial filings, annual reports, quarterly reports, or other SEC-mandated disclosures.

Search for products with advanced price filtering, location targeting, and deal discovery. This tool provides comprehensive product search with price range filtering, geographic targeting for local retailers, sorting by price (low to high, high to low), and filtering for free shipping or sale items. Perfect for product research, price comparison, finding deals, and discovering where to buy items. Returns product details, prices, availability, seller information, and reviews. Examples: query="gaming laptop" + min_price=800 + max_price=1500 + sort_by=1 query="running shoes" + location="Seattle, WA" + free_shipping=True query="coffee maker" + on_sale=True + gl="us"

The Composio LLM Search class serves as a gateway to the Composio LLM Search API, allowing users to perform searches across a broad range of content with multiple filtering options. It accommodates complex queries, including both keyword and phrase searches, with additional parameters to fine-tune the search results. This class enables a tailored search experience by allowing users to specify the search depth, include images and direct answers, apply domain-specific filters, and control the number of results returned. It is designed to meet various search requirements, from quick lookups to in-depth research.

Discover trending topics, search patterns, and popularity data. Analyzes search interest over time, compares multiple topics, and identifies rising trends. Returns normalized 0–100 relative interest indices (not absolute search volumes) via interest_over_time.timeline_data; values are objects with 'extracted_value' (may be string '<1'). The final timeline entry may have partial_data=true for incomplete periods. Data typically lags ~24–48 hours. Response schema varies by data_type: TIMESERIES returns timeline_data, GEO_MAP returns regional breakdowns, RELATED_TOPICS/RELATED_QUERIES return topic/query lists — parse accordingly. Ideal for market research, content planning, and SEO analysis.

Search TripAdvisor for travel recommendations and itinerary planning without authentication (unlike TRIPADVISOR_CONTENT_API_SEARCH_LOCATIONS and other TripAdvisor tools requiring an active connection). Searches attractions, restaurants, hotels, tours, and activities. Returns detailed ratings, reviews, photos, and traveler recommendations. Response data is nested under results → locations. Results may include evergreen articles alongside specific venues; verify result type before use in itineraries. Examples: query="things to do in Paris" + ssrc="A" for attractions only | query="best restaurants in Tokyo" + ssrc="r" | query="hotels in Bali" + ssrc="h" + tripadvisor_domain="tripadvisor.com"

Search Walmart for products with price filtering. This tool searches Walmart's product catalog including groceries, electronics, clothing, home goods, pharmacy, and auto services. Supports basic price range filtering for finding products within budget. Results may appear under response.data.results.shopping_results or data.products — do not hardcode a single response shape. Results mix sponsored and organic listings; check ad/sponsorship flags when ranking. Some products omit fields like bought_last_month; handle nulls in sorting logic. Examples: query="wireless headphones" + min_price=50 + max_price=200 query="gaming laptop" + max_price=800 query="organic coffee" + min_price=10

Perform a web search using the Exa API. Returns a nested structure: narrative summary under results.answer, sources under results.citations (and optionally results.organic_results). Prioritize results.citations as primary evidence over results.answer, which can be vague. Only indexes publicly available content — no paywalled, login-gated, or private content. No date filters enforced; include recency terms in query and verify dates in snippets manually. Throttle to ~1–2 requests/second; bursty queries trigger HTTP 429. Large responses may be stored remotely — use structure_info to locate results.answer and results.citations.