Install Jentic One Beta
Jentic One is a self-hosted execution layer for AI agents. It lets your agent call the ClawFetch, or any other public or private API you need. You set the rules, the agent never sees your credentials, and every call is logged.
Two steps, two machines. Install the instance in a safe environment, then register your agent from wherever it runs.
Step 1: Jentic One Host machine
# On the machine that will host your Jentic One instance:
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Fclawfetch.ai%2Fclawfetch" | shStep 2: Agent machine
# On the machine where your agent runs (keep this separate from the instance):
curl -fsSL "https://jentic.com/install.sh?src=apis&api=%2Fapis%2Fclawfetch.ai%2Fclawfetch" | sh
jentic register # connects your agent to your Jentic One instanceJentic One is in public beta. The setup above keeps your agent separate from the instance, which is what you want before using real credentials: an agent running as the same OS user as Jentic One can read its stored keys directly. Just evaluating? A single local install is fine to start. See the secure deployment guide for the tiers.
What an agent can do with ClawFetch API.
Fetch any URL with stealth page fetching, or render a JavaScript-heavy page in a headless browser
Extract typed, structured JSON from specialized site extractors
Run multi-source web research across a topic or company
Check bulk domain name availability and brainstorm available names with live WHOIS
Parse a document and list the available extractors
GET STARTED
Patterns agents use ClawFetch API for, with concrete tasks.
★ Agent-Ready Web Fetching
Give an agent clean data from pages that normally block or require JavaScript. The agent fetches a URL with stealth fetching, renders a single-page app in a headless browser when needed, and pulls typed JSON from a specialized extractor instead of raw HTML. This hands the model structured fields rather than a page it must parse.
Render a JavaScript-heavy page, then extract structured JSON from it
Research and Domain Screening
Gather intelligence and check names in one place. The agent runs multi-source research on a company or topic, parses a supporting document, and screens candidate domain names for availability with live WHOIS. The research and domain operations return structured results an agent can rank.
Run research on a company, then check availability for a list of candidate domains
AI Agent Integration via Jentic
An AI agent discovers and calls ClawFetch through Jentic. The agent searches by intent, receives the matching operation and its input schema, and fetches or extracts a page. Because ClawFetch is keyless and paid per request, the agent calls it directly through your own instance with nothing to configure first.
Search Jentic for 'fetch a web page', load the operation schema, and fetch the URL
9 endpoints — the clawfetch api turns the open web into agent-ready data.
METHOD
PATH
DESCRIPTION
/fetch
Fetch a URL with stealth page fetching
/render
Render a JavaScript-heavy page in a headless browser
/extract
Extract typed JSON from a specialized site extractor
/research
Run multi-source web research
/domains/check
Check bulk domain availability via WHOIS
/extractors
List the available structured-data extractors
/fetch
Fetch a URL with stealth page fetching
/render
Render a JavaScript-heavy page in a headless browser
/extract
Extract typed JSON from a specialized site extractor
/research
Run multi-source web research
/domains/check
Check bulk domain availability via WHOIS
/extractors
List the available structured-data extractors
What agents get from Jentic-routed access to this vendor.
Setup
Wiring ClawFetch by hand means handling x402 USDC micropayments on Base and the stealth-fetch and extraction request shapes yourself. Through Jentic you install once, import ClawFetch from the API Directory, and your agent calls it directly, with no key to create.
Permission scoping
ClawFetch needs no key, and through Jentic you still choose which of its operations your agent may call, such as fetching and extracting pages, while leaving the domain availability lookups out of the set.
Credential isolation
ClawFetch needs no API key, account, or subscription: it charges per request in USDC through the x402 protocol, so there is no secret for Jentic to hold. Your agent calls it directly through your own Jentic One instance.
Intent-based discovery
Agents search Jentic by intent such as 'fetch a web page' or 'extract structured data', and Jentic returns the matching ClawFetch operation with its input schema so the agent calls the right endpoint without browsing the reference docs.
Alternatives and complements available in the Jentic catalogue.
Specific to using ClawFetch API through Jentic.
What authentication does the ClawFetch API use?
The ClawFetch API requires no API key, account, or subscription, per its OpenAPI spec. Calls are paid per request in USDC through the x402 protocol instead. Through Jentic your agent calls it directly from your own instance, with nothing to register first.
Is there a ClawFetch MCP server?
You do not need a separate MCP server to give your agent ClawFetch. Jentic connects it directly from the API Directory: import it, and your agent calls its fetch, render, and extract operations on demand. Operations are discovered as needed, so no extra server's tool definitions load into the agent's context.
Can I extract structured data from a page with the ClawFetch API?
Yes. Call the extract operation to get typed JSON from a specialized site extractor, or render a JavaScript-heavy page first and then extract from it. The extractors operation lists which specialized sites are supported.
Can I limit what my agent is allowed to do with the ClawFetch API?
Yes. ClawFetch needs no key, and because you run Jentic One yourself your rules still decide which operations the agent may call. You can allow fetching and extracting pages while withholding the domain availability lookups, and every call is logged.
What are the rate limits for the ClawFetch API?
The OpenAPI spec does not specify rate limits; ClawFetch is pay-per-request in USDC through the x402 protocol, with no account tier to exceed. See the ClawFetch documentation at https://clawfetch.ai for current terms.
How do I fetch a web page with the ClawFetch API through Jentic?
Search Jentic for 'fetch a web page' to get the matching ClawFetch operation and its input schema, then your agent passes the URL and reads the returned content. To run it on your own infrastructure, install Jentic One from its GitHub repo.
For Agents
Fetch and render web pages, extract typed JSON from specialized site extractors, run web research, and screen domains, across 9 keyless endpoints paid per request.
Use for: Fetch the HTML of a web page, I need to render a JavaScript-heavy page, Extract structured data from a GitHub repository page, Run multi-source research on a company
Not supported: Does not store crawled data long term, run scheduled crawl jobs, or manage proxy pools. Use for on-demand web fetching, rendering, extraction, research, and domain screening only.
The ClawFetch API turns the open web into agent-ready data. It fetches any URL with stealth page fetching, renders JavaScript-heavy pages in a headless browser, and extracts typed JSON from specialized site extractors such as GitHub, YouTube, and Wikipedia. It also runs multi-source web research across a topic or company, parses documents, and screens domain name availability with live WHOIS. There is no account or API key: calls are paid per request in USDC through the x402 protocol.
This API is usable in Jentic One now. Its AI-readiness score against Jentic's framework shows where it stands today and where improvements would make it even easier for agents to use.
Base layer of spec validity and structural soundness.
Aggregated quality score from linter diagnostics, weighted by severity.
Percentage of `$ref` references that resolve successfully.
Checks whether the API description parses successfully and conforms to its declared specification (e.g., OpenAPI).
Structural correctness score based on schema issues using logarithmic dampening.
Clarity, completeness, and ingestion readiness for developers and tooling.
How richly the API is illustrated with examples.
Percentage of examples that conform to their schemas.
Percentage of operations with complete response definitions (success, client error, server error).
Health of API ingestion, bundling, and resolution within Jentic pipelines.
Semantic breadth, depth, and agent comprehension for AI systems.
Coverage of descriptions across API elements.
Coverage of RFC 9457 Problem Details for error responses.
Coverage, uniqueness, and casing consistency of operationIds for AI inference.
Coverage of summaries across operations/tags/info.
Functional utility, complexity comfort, and AI orchestration readiness.
Agent comfort level based on API operational and structural complexity.
Trust, risk posture, and security compliance.
Average quality of security schemes based on authentication method strength (weakest link for OAuth2).
Findability, semantic richness, and reasoning readiness.
Clarity and depth of descriptions across API elements.
Score it yourself
Every API in the directory is allowlisted, so you can re-score it with no key required.
npx @jentic/api-scorecard-cli score <openapi-url>