live tools for AI agents

search, read, and act beyond the model.

live web data and connected apps through one secure key.

free credits · no card · skill, mcp, or http

search the live web

3 sources
agentic AI security guidance

Agentic AI threats and mitigations

OWASP · current result

AI Risk Management Framework

NIST · current result

read a clean page

genai.owasp.org/resource/agentic-ai

A threat-model-based guide to emerging agent risks and practical mitigations.

clean content · page chrome removed

act in a connected app

SEC-241 · review tool permissions

ask an ai about fetchbean

use cases

give your agent something current to work with.

Fetchbean adds live research, clean content, and authenticated app actions to agents that would otherwise be limited to their model context.

research and monitoring

Search the live web, compare current sources, and monitor topics that changed after the model was trained.

page reading and extraction

Turn articles, documentation, and script-heavy URLs into clean content an agent can reason over.

meeting follow-ups

Pull Fireflies transcripts, identify decisions and owners, then create the next tasks in your project tools.

workspace knowledge

Retrieve the context already living in Notion, Gmail, Slack, Google Workspace, and other connected services.

project and support operations

Read or update work in Linear, GitHub, Intercom, Canny, and the business tools your team already uses.

publishing and reporting

Schedule content, query product analytics, and publish agent-generated reports as shareable web artifacts.

connect

use the agent you already have.

The Fetchbean skill, hosted MCP server, and HTTP tool API expose the same live catalog. Pick the surface your agent understands; the tools and permissions stay consistent.

setup guide

built for agent loops

less context. safer credentials. clearer failures.

The tool layer handles the operational details that become expensive or risky when an agent keeps running on its own.

load one tool

discover a relevant capability at runtime instead of loading the full catalog into every context window.

keep keys outside

connected provider credentials are encrypted at rest, used server-side, and revocable anytime.

fail honestly

provider failures and timeouts return typed errors instead of fabricated success, and cost zero.

see the spend

listed prices and per-call usage make each charge visible.

catalog

the web and the stack you already run.

Use managed live-data tools without opening another provider account, then connect supported work apps with OAuth or your own provider credential.

Parallel

live data

Exa

live data

Jina

live data

Firecrawl

live data

Fireflies

connected apps

Notion

connected apps

Linear

connected apps

Slack

connected apps

GitHub

connected apps

PostHog

connected apps

Intercom

connected apps

Google Workspace

connected apps

web search, page reading, meetings, project work, support, analytics, publishing, and more.

browse the full catalog

faq

questions, answered.

what is fetchbean?
fetchbean is a managed tool layer for AI agents. it provides live web tools and access to connected work apps through one API key, with the same catalog available as an agent skill, hosted MCP server, and HTTP API.
which AI agents can use fetchbean?
any agent that can follow a hosted skill, connect to an MCP server, or make HTTP requests can use fetchbean. it is not limited to coding agents or one model provider.
should I use the skill, MCP, or HTTP API?
use the skill when your agent can read hosted instructions, MCP when your client supports remote MCP servers, and HTTP when you want direct control from code. all three surfaces expose the same underlying tool catalog.
how does tool discovery keep agent context smaller?
your agent can discover a relevant capability when a task needs it instead of loading the full catalog into every prompt. that leaves more context for the actual task and makes tool choice simpler.
do provider credentials ever reach the agent?
no. connected provider keys and OAuth tokens are encrypted at rest and used server-side. they are never returned to the agent, and you can revoke a connection anytime.
what is the difference between managed tools and connected apps?
managed tools such as web search and page reading use provider access operated by fetchbean. connected apps use an account you authorize, such as Notion, Linear, Slack, or Google Workspace, so the agent can work with your own data and permissions.
how do credits, failed calls, and spend caps work?
you start with free credits and no card. calls use prepaid credits at the listed tool price, provider failures and timeouts cost zero, and an organization-wide monthly cap checks the upfront estimate before each call starts.

ready when you are

give your agent live tools.

free credits, no card, through a skill, hosted MCP server, or HTTP.

get a free key