Official Python client SDK for the Agent Ready API — scan any URL for AI agent-readability (Vercel Agent Readability Spec, llmstxt.org, agent-protocol manifests).
Project description
agent-ready-client (Python SDK)
Official Python client SDK for the Agent Ready API — scan any public URL for AI agent-readability against the Vercel Agent Readability Spec, the llmstxt.org standard, and agent-protocol manifests (MCP server cards, A2A, agents.json, agent-permissions.json, UCP, x402, NLWeb).
Zero runtime dependencies — pure standard library (urllib). Python 3.8+.
Prefer the terminal? Use the
agent-ready-scannerCLI. Working in JS/TS? Seeagent-ready-clienton npm. This package is for calling the API from your own Python code.
Install
pip install agent-ready-client
Quick start
import os
from agent_ready import AgentReady
ar = AgentReady(api_key=os.environ["AGENT_READY_API_KEY"])
scan = ar.scan("https://example.com") # start + poll to completion
print(scan["vercelScore"], scan["vercelRating"]) # 96 "excellent"
for check in scan["siteChecks"]:
if check["status"] == "fail":
print(check["checkId"], check["name"], "->", check["howToFix"])
Authentication
scan, start_scan, get_scan, and list_scans require a Pro API key
(issue one at https://agent-ready.dev/dashboard/api-keys). Pass it explicitly
or set AGENT_READY_API_KEY in the environment:
ar = AgentReady() # reads AGENT_READY_API_KEY
ar = AgentReady(api_key="ar_live_...") # or pass it in
ask is public and needs no key.
API
AgentReady(api_key=None, base_url="https://agent-ready.dev", timeout=30.0)
| Method | Returns | Notes |
|---|---|---|
scan(url, page_limit=None, poll_interval=2.0, timeout=120.0) |
Scan |
Start and poll to completion. |
start_scan(url, page_limit=None) |
StartScanResponse |
Queue only; returns the id. |
get_scan(id) |
Scan |
Fetch a scan (running or finished). |
list_scans(limit=None, cursor=None) |
ScanListResponse |
Your scans, newest first. |
ask(query, item_type=None, mode=None) |
dict |
NLWeb doc search. No key required. |
Fire-and-forget + poll later
started = ar.start_scan("https://example.com", page_limit=25)
# ...later...
scan = ar.get_scan(started["id"])
if scan["status"] == "completed":
print(scan["vercelScore"])
Errors
Every failure raises ApiError with a stable code and (when from a response)
an HTTP status:
from agent_ready import ApiError
try:
ar.scan("https://example.com")
except ApiError as err:
if err.code == "rate_limited":
... # back off and retry
Common codes: missing_api_key, unauthorized, subscription_required,
rate_limited, invalid_request, timeout, network_error.
Links
- API docs & OpenAPI 3.1 spec: https://agent-ready.dev/docs/api · https://agent-ready.dev/api/v1/openapi.json
- Methodology (all checks): https://agent-ready.dev/methodology
- JS/TS SDK: https://www.npmjs.com/package/agent-ready-client · CLI: https://www.npmjs.com/package/agent-ready-scanner
License
MIT © Agent Ready
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