Skip to main content

LangChain tool for Skim — clean web reader for AI agents. Pays $0.002/call in USDC over x402. No signup, no API keys.

Project description

langchain-skim

Give your LangChain agent the ability to read any URL — clean Markdown, no ads, no nav, no boilerplate. Pays itself per call. No signup, no API key.

PyPI version License: MIT

langchain-skim is the official LangChain tool for Skim — the canonical x402 clean reader API. It exposes one tool, SkimReader, that your agent can call to fetch any web page as agent-ready Markdown plus structured metadata (title, byline, published date, language, excerpt). Each call costs $0.002 in USDC on Base, paid automatically by your local wallet over HTTP 402.


Install

pip install langchain-skim

This pulls in the x402 client with EVM support, so there's nothing else to install.


Quickstart (60 seconds)

1. Fund a Base wallet with $1 of USDC

A dollar funds roughly 500 reads. Full step-by-step (with screenshots, for non-crypto-native devs): https://skim402.com/wallet.

Use a fresh wallet, not your personal one. This wallet's private key signs payment authorizations on your machine — treat it like a hot wallet for paying $0.002 tolls, not a savings account.

2. Point the tool at your wallet

export SKIM_WALLET_PRIVATE_KEY=0xYOUR_BASE_WALLET_PRIVATE_KEY

3. Use it

from langchain_skim import SkimReader

reader = SkimReader()  # reads SKIM_WALLET_PRIVATE_KEY from the environment

markdown = reader.invoke({"url": "https://en.wikipedia.org/wiki/HTTP_402"})
print(markdown)

The tool signs an EIP-3009 USDC authorization for $0.002, Skim returns clean Markdown, and you get back the article body with a YAML frontmatter block of metadata. The payment shows up in your wallet's transaction history on BaseScan.


Use it in an agent

SkimReader is a standard LangChain BaseTool, so it drops straight into any agent's tool list:

from langchain_skim import SkimReader
from langchain.agents import create_react_agent  # or any agent constructor
from langchain_openai import ChatOpenAI

llm = ChatOpenAI(model="gpt-4o-mini")
tools = [SkimReader()]

agent = create_react_agent(llm, tools)
agent.invoke({"messages": [("user", "Read https://example.com/article and summarize it.")]})

The agent decides when to call skim_read, the wallet pays per read, and the model gets clean Markdown instead of raw HTML.


Output shape

SkimReader returns Markdown with a YAML frontmatter block of the page metadata:

---
title: Example article
byline: Jane Doe
publishedAt: 2025-01-15
lang: en
excerpt: A short summary...
---

# Example article

The cleaned article body in Markdown...

Set include_metadata=False to get just the Markdown body.


Configuration

SkimReader takes the following parameters (all optional except the wallet key):

Parameter Default Notes
private_key $SKIM_WALLET_PRIVATE_KEY Hex private key for the Base wallet that pays for reads. With or without 0x. Use a dedicated wallet — never your personal one.
base_url https://skim402.com Override the API base URL. For self-hosting or local development.
max_price_usd 0.01 Hard cap on per-call price in USD. The wallet refuses to sign for anything above this. Skim is $0.002/call.
include_metadata True Prepend a YAML frontmatter block of page metadata to the returned Markdown.
timeout 60 Per-request timeout in seconds.
reader = SkimReader(
    private_key="0x...",       # or rely on the env var
    max_price_usd=0.005,
    include_metadata=False,
)

How it actually works

your agent ──► SkimReader ──► POST https://skim402.com/api/v1/read
                  ▲                       │
                  │                       ▼
                  │              402 Payment Required
                  │                  (x402 challenge)
                  │                       │
                  ▼                       │
   x402 signs EIP-3009 USDC ◄─────────────┘
   transfer authorization (locally)
                  │
                  ▼
        retry POST with X-PAYMENT header
                  │
                  ▼
   Skim verifies + settles via Coinbase CDP facilitator
                  │
                  ▼
        200 OK + clean Markdown

Your private key never leaves your machine — it only signs authorizations locally.


Security

  • Dedicated wallet, always. Fund it with only as much USDC as you're willing to spend in a runaway loop. The max_price_usd cap catches accidental price escalations.
  • No outbound telemetry from this package. langchain-skim only talks to skim402.com (or whatever you set as base_url). No analytics, no error reporting, no phone-home.

Try it without an agent

Skeptical? Test the upstream endpoint directly — it'll return a 402 challenge so you can see the protocol in action:

curl -i -X POST https://skim402.com/api/v1/read \
  -H 'content-type: application/json' \
  -d '{"url":"https://en.wikipedia.org/wiki/HTTP_402"}'

You'll get back HTTP/1.1 402 Payment Required with the x402 challenge in the response body.


Links


License

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

langchain_skim-0.1.0.tar.gz (8.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

langchain_skim-0.1.0-py3-none-any.whl (8.2 kB view details)

Uploaded Python 3

File details

Details for the file langchain_skim-0.1.0.tar.gz.

File metadata

  • Download URL: langchain_skim-0.1.0.tar.gz
  • Upload date:
  • Size: 8.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: uv/0.9.5

File hashes

Hashes for langchain_skim-0.1.0.tar.gz
Algorithm Hash digest
SHA256 93fd857f644fceb04ff7b2337e5f402cee7fa322c414aa619d0b39ef3906de25
MD5 edeb622e9bd1a849274342b8e6d113db
BLAKE2b-256 0fa2ae360d309b1caed24cd771044d9b841bb10019790d3db3a417830285303e

See more details on using hashes here.

File details

Details for the file langchain_skim-0.1.0-py3-none-any.whl.

File metadata

File hashes

Hashes for langchain_skim-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 8aa56b5c48ad475bf95dc0833bef29c24349c80faa4db690a70665c0ea869d35
MD5 af2718fa8461138cfb95dc1b9c7a03cc
BLAKE2b-256 e922e1f4f20b0a4aa66b9e79b7febba9f51f748c84c6a324906fa4467ab6df26

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page