# Fetch Hive

## Docs

- [Creating and Configuring](https://docs.fetchhive.com/agents/creating-and-configuring.md): Create an agent, tune its settings, and add tools in the Fetch Hive editor
- [Logs](https://docs.fetchhive.com/agents/logs.md): Review agent runs, filter activity, inspect traces, and debug tool usage in Fetch Hive
- [Airtable](https://docs.fetchhive.com/agents/mcp-tools/airtable.md): Give an agent access to your connected Airtable account so it can create, list, update, and retrieve records
- [Anthropic Web Search](https://docs.fetchhive.com/agents/mcp-tools/anthropic-web-search.md): Let a Claude-powered agent search the public web using Anthropic's native web search tool
- [Auto Summarize](https://docs.fetchhive.com/agents/mcp-tools/auto-summarize.md): Automatically compress long conversation histories so agents never run out of context window
- [File Tools](https://docs.fetchhive.com/agents/mcp-tools/file-tools.md): Understand how agents read attachments and create generated files
- [Google Grounding](https://docs.fetchhive.com/agents/mcp-tools/google-grounding.md): Ground Gemini agent responses with Gemini's native Google Search grounding
- [Google Search](https://docs.fetchhive.com/agents/mcp-tools/google-search.md): Add Google Search to an agent so it can search the public web from the Fetch Hive editor
- [GPT Search](https://docs.fetchhive.com/agents/mcp-tools/gpt-search.md): Add GPT Search to an agent and control its search context size and location
- [Image Generation](https://docs.fetchhive.com/agents/mcp-tools/image-generation.md): Let an agent generate images on demand using OpenAI, xAI, or Gemini image generation
- [Linear](https://docs.fetchhive.com/agents/mcp-tools/linear.md): Give an agent access to your connected Linear workspace so it can create and manage issues, search teams, and track project work
- [Overview](https://docs.fetchhive.com/agents/mcp-tools/overview.md): Review the tools available to Fetch Hive agents
- [SERP API](https://docs.fetchhive.com/agents/mcp-tools/serp-api.md): Add SERP API to an agent so it can work with search results and SEO-oriented search data
- [Vector Search](https://docs.fetchhive.com/agents/mcp-tools/vector-search.md): Add Vector Search to an agent so it can search your workspace Knowledge Base
- [X Search](https://docs.fetchhive.com/agents/mcp-tools/x-search.md): Search X/Twitter posts and content through Grok's native x_search tool
- [xAI Web Search](https://docs.fetchhive.com/agents/mcp-tools/xai-search.md): Let a Grok-powered agent search the public web using xAI's native web search tool
- [Overview](https://docs.fetchhive.com/agents/overview.md): Build, test, and run agents in Fetch Hive
- [Run with API](https://docs.fetchhive.com/agents/run-with-api.md): Invoke an agent with the public API using your workspace API key, an agent ID, and a message
- [Run with Node.js SDK](https://docs.fetchhive.com/agents/run-with-nodejs-sdk.md): Invoke an agent from Node.js or TypeScript with the @fetch-hive/sdk package
- [Run with PHP SDK](https://docs.fetchhive.com/agents/run-with-php-sdk.md): Invoke an agent from PHP with the fetch-hive/sdk Composer package
- [Run with Python SDK](https://docs.fetchhive.com/agents/run-with-python-sdk.md): Invoke an agent from Python with the fetch-hive-sdk package
- [Run with Ruby SDK](https://docs.fetchhive.com/agents/run-with-ruby-sdk.md): Invoke an agent from Ruby with the fetch_hive gem
- [Sub Agents](https://docs.fetchhive.com/agents/sub-agents.md): Add another agent from the same workspace as a callable tool inside an agent
- [Testing with Chat](https://docs.fetchhive.com/agents/testing-with-chat.md): Test agent responses in the Fetch Hive editor before you invoke them from your own app
- [Workflow Tools](https://docs.fetchhive.com/agents/workflow-tools.md): Let an agent run a deployed workflow as a tool
- [Authentication](https://docs.fetchhive.com/api-reference/authentication.md): Authenticate Fetch Hive API requests with a workspace API key from the dashboard
- [Error codes](https://docs.fetchhive.com/api-reference/error-codes.md): Stable Fetch Hive API error codes, response fields, and client handling guidance
- [Errors and rate limits](https://docs.fetchhive.com/api-reference/errors-and-rate-limits.md): Common Fetch Hive API error responses, status codes, and workflow concurrency behavior
- [Invoke Agent](https://docs.fetchhive.com/api-reference/invoke-agent.md): Send a message to an agent with the public Fetch Hive API using an agent ID and message
- [Invoke Prompt](https://docs.fetchhive.com/api-reference/invoke-prompt.md): Run a prompt deployment with the public Fetch Hive API using a deployment name and variant
- [Invoke Workflow](https://docs.fetchhive.com/api-reference/invoke-workflow.md): Run a workflow deployment with the public Fetch Hive API using a deployment name, variant, and start inputs
- [Models](https://docs.fetchhive.com/api-reference/models.md): Retrieve the list of active LLM and image-generation models available in Fetch Hive
- [Overview](https://docs.fetchhive.com/api-reference/overview.md): Review authentication, invoke endpoints, errors, models, and API reference pages
- [Search Service Countries](https://docs.fetchhive.com/api-reference/search-service-countries.md): Public endpoints for inspecting country values supported by search workflow services
- [Run analytics](https://docs.fetchhive.com/experiments/analytics.md): Compare run cost, token usage, latency, and success rate
- [Build an experiment](https://docs.fetchhive.com/experiments/building-experiments.md): Create an experiment, choose a dataset, and prepare candidates
- [Experiment candidates](https://docs.fetchhive.com/experiments/candidates.md): Add dashboard prompts, deployed prompts, and agents to experiments
- [Experiment datasets](https://docs.fetchhive.com/experiments/datasets.md): Create CSV datasets for Fetch Hive experiments
- [Experiment evaluators](https://docs.fetchhive.com/experiments/evaluators.md): Current evaluator status and planned evaluator types for experiments
- [Overview](https://docs.fetchhive.com/experiments/overview.md): Compare prompts and agents across datasets in Fetch Hive
- [Experiment results](https://docs.fetchhive.com/experiments/results.md): Review experiment outputs, failures, usage, and request details
- [Run an experiment](https://docs.fetchhive.com/experiments/running-experiments.md): Start, track, and cancel experiment runs
- [Agent quick start](https://docs.fetchhive.com/getting-started/agent-quick-start.md): Create an agent, test it in chat, and invoke it through the public API
- [Overview](https://docs.fetchhive.com/getting-started/overview.md): Create your first prompt, workflow, or agent and run it through the Fetch Hive UI and public API
- [Prompt quick start](https://docs.fetchhive.com/getting-started/prompt-quick-start.md): Create a prompt, test it in the editor, create a prompt deployment, and run it through the public API
- [Workflow quick start](https://docs.fetchhive.com/getting-started/workflow-quick-start.md): Create a workflow, run it in the editor, create a workflow deployment, and invoke it through the public API
- [Creating & Editing](https://docs.fetchhive.com/knowledge-base/creating-and-editing.md): Create a knowledge base, add content items, process them into chunks, and manage search settings
- [Logs](https://docs.fetchhive.com/knowledge-base/logs.md): Review knowledge base processing runs, filter activity, and inspect run details
- [Overview](https://docs.fetchhive.com/knowledge-base/overview.md): Create searchable knowledge bases, add content, test search behavior, and review activity logs
- [Testing a Knowledge Base](https://docs.fetchhive.com/knowledge-base/testing-a-knowledge-base.md): Run test searches, inspect matching chunks, and tune search settings before using a knowledge base
- [Analytics](https://docs.fetchhive.com/monitoring/analytics.md): Use Dashboard analytics to review workspace cost, token usage, service mix, model mix, trace performance, and top users
- [Credit Usage](https://docs.fetchhive.com/monitoring/credit-usage.md): See where Fetch Hive shows cost, tokens, and credit-related usage details across analytics, logs, and run details
- [Log History](https://docs.fetchhive.com/monitoring/log-history.md): Open prompt, workflow, and agent logs in Fetch Hive and inspect filters, run details, and traces
- [Overview](https://docs.fetchhive.com/monitoring/overview.md): Review analytics, credit usage, logs, traces, and troubleshooting views
- [Creating and Editing](https://docs.fetchhive.com/prompts/creating-and-editing.md): Create a prompt, add messages, manage inputs, and test it in the prompt editor
- [Logs](https://docs.fetchhive.com/prompts/logs.md): Review prompt activity logs, inspect request details, and check inputs and responses for individual runs
- [Overview](https://docs.fetchhive.com/prompts/overview.md): Create standalone prompts, test them in the editor, version changes, and run them through prompt deployments
- [Publishing and Versioning](https://docs.fetchhive.com/prompts/publishing-and-versioning.md): Save prompt versions, review version history, roll back changes, and create prompt deployments for runtime use
- [Run with API](https://docs.fetchhive.com/prompts/run-with-api.md): Invoke a prompt deployment with the public API using your API key, deployment name, and variant
- [Run with Node.js SDK](https://docs.fetchhive.com/prompts/run-with-nodejs-sdk.md): Invoke a prompt deployment from Node.js or TypeScript with the @fetch-hive/sdk package
- [Run with PHP SDK](https://docs.fetchhive.com/prompts/run-with-php-sdk.md): Invoke a prompt deployment from PHP with the fetch-hive/sdk Composer package
- [Run with Python SDK](https://docs.fetchhive.com/prompts/run-with-python-sdk.md): Invoke a prompt deployment from Python with the fetch-hive-sdk package
- [Run with Ruby SDK](https://docs.fetchhive.com/prompts/run-with-ruby-sdk.md): Invoke a prompt deployment from Ruby with the fetch_hive gem
- [Get in contact](https://docs.fetchhive.com/resources/get-in-contact.md): Book a Fetch Hive demo or send a message through the public contact form
- [Model library](https://docs.fetchhive.com/resources/model-library.md): The current Fetch Hive model library
- [Overview](https://docs.fetchhive.com/resources/overview.md): External references and product reference pages for models, updates, contact, and security information
- [Roadmap](https://docs.fetchhive.com/resources/roadmap.md): View the public Fetch Hive roadmap and feedback board
- [Security and compliance](https://docs.fetchhive.com/resources/security-and-compliance.md): Public references for Fetch Hive privacy, data handling, retention, and model provider access
- [Task costs](https://docs.fetchhive.com/resources/task-costs.md): Task credit costs by Fetch Hive service
- [Analytics](https://docs.fetchhive.com/user-tracking/analytics.md): Use Fetch Hive user analytics to measure active users, spend, activity trends, and top users
- [Filtering and drilling](https://docs.fetchhive.com/user-tracking/filtering-and-drilling.md): Filter tracked users and drill from user-level activity into prompt, workflow, and agent run details
- [Identifying users](https://docs.fetchhive.com/user-tracking/identifying-users.md): Understand how Fetch Hive surfaces tracked end users as User IDs across the Users pages and run details
- [Invoke metadata](https://docs.fetchhive.com/user-tracking/invoke-metadata.md): Pass caller-defined metadata to public invoke endpoints and use it to inspect and filter logs
- [Overview](https://docs.fetchhive.com/user-tracking/overview.md): Track end-user usage, metadata, analytics, and drill-down activity
- [Callback Delivery and Webhook Triggers](https://docs.fetchhive.com/workflows/async-and-webhooks.md): Start workflow deployments with API invoke or webhook triggers, send results to callback URLs, and verify signed callback delivery
- [Creating and Editing](https://docs.fetchhive.com/workflows/creating-and-editing.md): Create a workflow, add steps on the canvas, configure start inputs, and work with step settings
- [Error Handling](https://docs.fetchhive.com/workflows/error-handling.md): Understand workflow invoke errors, control step failure behavior, and debug failed runs with workflow logs and traces
- [Logs](https://docs.fetchhive.com/workflows/logs.md): Review workflow runs, filter activity by source and delivery, inspect traces, and debug callback delivery
- [Overview](https://docs.fetchhive.com/workflows/overview.md): Build multi-step workflows, test them in the editor, publish workflow deployments, and inspect run history
- [Publishing and Versioning](https://docs.fetchhive.com/workflows/publishing-and-versioning.md): Save workflow versions, compare version history, roll back changes, and manage workflow deployments and variants
- [Run with API](https://docs.fetchhive.com/workflows/run-with-api.md): Invoke a workflow deployment with the public API using your API key, deployment name, variant, and start inputs
- [Run with Node.js SDK](https://docs.fetchhive.com/workflows/run-with-nodejs-sdk.md): Invoke a workflow deployment from Node.js or TypeScript with the @fetch-hive/sdk package
- [Run with PHP SDK](https://docs.fetchhive.com/workflows/run-with-php-sdk.md): Invoke a workflow deployment from PHP with the fetch-hive/sdk Composer package
- [Run with Python SDK](https://docs.fetchhive.com/workflows/run-with-python-sdk.md): Invoke a workflow deployment from Python with the fetch-hive-sdk package
- [Run with Ruby SDK](https://docs.fetchhive.com/workflows/run-with-ruby-sdk.md): Invoke a workflow deployment from Ruby with the fetch_hive gem
- [Scheduled Deployments](https://docs.fetchhive.com/workflows/scheduled-deployments.md): Run workflow deployment variants automatically from the dashboard with saved inputs
- [Sub-workflow](https://docs.fetchhive.com/workflows/steps/advanced/sub-workflow.md): Run another workflow from a workflow step
- [AI Prompt](https://docs.fetchhive.com/workflows/steps/ai/ai-prompt.md): Configure a workflow step that runs an LLM prompt with messages and returns text or structured output
- [Google AI Mode](https://docs.fetchhive.com/workflows/steps/ai/google-ai-mode.md): Configure a workflow step that runs a Google AI Mode search and stores the returned result for later steps
- [Google AI Overview](https://docs.fetchhive.com/workflows/steps/ai/google-ai-overview.md): Configure a workflow step that retrieves Google's AI Overview result for a search query
- [Image Generation](https://docs.fetchhive.com/workflows/steps/ai/image-generation.md): Configure a workflow step that generates one or more images and returns uploaded asset records for later steps
- [Airtable](https://docs.fetchhive.com/workflows/steps/integrations/airtable.md): Configure a workflow step that reads or writes Airtable records using a connected Airtable account
- [Google Docs](https://docs.fetchhive.com/workflows/steps/integrations/google-docs.md): Configure a workflow step that creates a Google Doc from workflow content using a connected Google account
- [Google Sheets](https://docs.fetchhive.com/workflows/steps/integrations/google-sheets.md): Configure a workflow step that creates a Google Sheet from structured workflow data using a connected Google account
- [Linear](https://docs.fetchhive.com/workflows/steps/integrations/linear.md): Configure a workflow step that creates or queries Linear issues and teams using a connected Linear account
- [Notion](https://docs.fetchhive.com/workflows/steps/integrations/notion.md): Configure a workflow step that creates a Notion page from workflow content using a connected Notion account
- [Slack](https://docs.fetchhive.com/workflows/steps/integrations/slack.md): Configure a workflow step that posts a message to a Slack channel using a connected Slack account
- [Telegram](https://docs.fetchhive.com/workflows/steps/integrations/telegram.md): Send a plain text Telegram message from a workflow
- [Search Knowledge Base](https://docs.fetchhive.com/workflows/steps/knowledge-base/search-knowledge-base.md): Configure a workflow step that runs a semantic, keyword, or hybrid search against an existing knowledge base and stores the results
- [Write to Knowledge Base](https://docs.fetchhive.com/workflows/steps/knowledge-base/write-knowledge-base.md): Configure a workflow step that writes content to an existing knowledge base — from custom text, a document, or a scraped website
- [Overview](https://docs.fetchhive.com/workflows/steps/overview.md): Browse workflow step categories and configuration pages
- [Condition](https://docs.fetchhive.com/workflows/steps/utility/condition.md): Configure a workflow step that branches execution into a TRUE or FALSE path based on a boolean expression over workflow variables
- [Custom API](https://docs.fetchhive.com/workflows/steps/utility/custom-api.md): Configure a workflow step that makes an HTTP request and stores the response for later steps
- [Data Transform](https://docs.fetchhive.com/workflows/steps/utility/data-transform.md): Reshape workflow data by building rows, concatenating arrays, or flattening an array without calling an external service
- [Document URL to Text](https://docs.fetchhive.com/workflows/steps/utility/document-to-text.md): Configure a workflow step that fetches a document from a URL and extracts text for later steps
- [Human in the Loop](https://docs.fetchhive.com/workflows/steps/utility/human-in-the-loop.md): Pause a workflow for a person to choose, respond, approve, or reject
- [JSON Schema](https://docs.fetchhive.com/workflows/steps/utility/json-schema.md): Configure a workflow step that defines structured fields and returns JSON-shaped output for later steps
- [PDF Generation](https://docs.fetchhive.com/workflows/steps/utility/pdf-generation.md): Configure a workflow step that converts markdown content into a PDF result inside Fetch Hive
- [Bing Search](https://docs.fetchhive.com/workflows/steps/web-research/bing-search.md): Configure a workflow step that searches Bing and stores the results for later steps
- [Copilot Search](https://docs.fetchhive.com/workflows/steps/web-research/copilot-search.md): Configure a workflow step that searches the web with Microsoft Copilot and stores the results for later steps
- [Exa Search](https://docs.fetchhive.com/workflows/steps/web-research/exa-search.md): Configure a workflow step that searches the web with Exa and stores the results for later steps
- [Exa Similar](https://docs.fetchhive.com/workflows/steps/web-research/exa-similar.md): Configure a workflow step that finds pages similar to a source URL and stores the results for later steps
- [Google News](https://docs.fetchhive.com/workflows/steps/web-research/google-news.md): Configure a workflow step that searches Google News and stores article results for later steps
- [Google Search](https://docs.fetchhive.com/workflows/steps/web-research/google-search.md): Configure a workflow step that searches Google and stores the results for later steps
- [RSS Feed](https://docs.fetchhive.com/workflows/steps/web-research/rss-feed.md): Configure a workflow step that fetches entries from a direct RSS or Atom feed URL
- [Website Scrape](https://docs.fetchhive.com/workflows/steps/web-research/website-scrape.md): Configure a workflow step that scrapes a website URL and returns selected content types for later steps
- [Testing and Iteration](https://docs.fetchhive.com/workflows/testing-and-iteration.md): Test workflows in the editor, work with Run History and Output, and iterate before creating a workflow deployment
- [API keys](https://docs.fetchhive.com/workspace/api-keys.md): Create and manage workspace API keys for calling Fetch Hive deployments across environments
- [Billing](https://docs.fetchhive.com/workspace/billing.md): Review your plan, credits, invoices, and cancellation state from the billing page
- [Brand kit](https://docs.fetchhive.com/workspace/brand-kit.md): Generate and edit your workspace brand profile from a brand URL
- [Integrations](https://docs.fetchhive.com/workspace/integrations.md): Connect third-party services to your Fetch Hive workspace with OAuth or API keys
- [Use your own API Key](https://docs.fetchhive.com/workspace/llm-providers.md): Use Personal charge type in Fetch Hive and connect provider credentials through integrations
- [Media library](https://docs.fetchhive.com/workspace/media-library.md): Browse, preview, download, and delete shared files from the Fetch Hive media library
- [Notifications](https://docs.fetchhive.com/workspace/notifications.md): Control discussion mention notifications for your Fetch Hive account
- [Overview](https://docs.fetchhive.com/workspace/overview.md): Manage workspace settings, billing, integrations, assets, and team access
- [Queuing](https://docs.fetchhive.com/workspace/queuing.md): How to open the Run Queue, understand queued versus running items, and track concurrency usage in your workspace
- [Sample inputs and tools](https://docs.fetchhive.com/workspace/sample-inputs-and-tools.md): Create and manage reusable sample inputs and sample tool schemas for your workspace
- [Security](https://docs.fetchhive.com/workspace/security.md): Review active sessions and revoke access from devices you no longer trust
- [Team members](https://docs.fetchhive.com/workspace/team-members.md): Invite teammates, manage access, and review member status in your workspace
- [Workspace settings](https://docs.fetchhive.com/workspace/workspace-settings.md): Update your workspace name, choose a default charge type, and manage workspace categories