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AI readiness API in Python

Which AI crawlers a site lets in, llms.txt adoption, no-JS readability — one audit row per domain. One POST from Python with domains, rows back as JSON with 28 fields, $0.003 per delivered site. No proxies or parsers to maintain.

A Python requests snippet that posts {
A Python requests call to the ai_readiness collector returns one dict per site, at $0.003 each.

First call

Install, call, read the rows.

pip install requests
The only dependency.
import os, requests

r = requests.post(
    "https://api.quanticdata.io/v1/scraper/collectors/ai_readiness/run",
    headers={"Authorization": f"Bearer {os.environ['QD_API_KEY']}"},
    json={
        "domains": ["quanticdata.io","stripe.com"],
    },
    timeout=120,
)
r.raise_for_status()
run = r.json()["payload"]
print(run["count"], "rows,", run["cost"]["usd"], "USD")
for row in run["results"]:
    print(row.get("domain"), row.get("url"), row.get("robots_txt"), row.get("ai_bots"))
Python: one AI readiness audit run (Audit two sites), printing domain, url, robots_txt, ai_bots

The key comes from an environment variable, never from the code. The run answers in the same request when it finishes in time; payload.results holds the rows and payload.cost what they cost.

Request parameters

What the collector takes.

Input of the AI readiness audit collector
ParameterTypeRequiredMeaning
domainsarrayyesDomains or site URLs, one per line (max 50).
countrystringnoISO 3166-1 alpha-2 code — proxy exit geo and Google locale (gl). Omit for the default pool.
max_resultsintegerno (default 20)How many sites to deliver at most (1–50). You pay only for delivered sites.

Response fields

28 fields per site.

Fields of each row (site)
FieldTypeWhat it holds
domainstringRegistrable host (no www).
urlstringHomepage URL fetched.
robots_txtbooleanWhether a robots.txt exists.
ai_botsobjectPer-crawler verdict: { gptbot: "allowed|partial|blocked", claudebot: …, … }.
allowed_botsstring[]AI crawlers with no restrictions.
partial_botsstring[]AI crawlers allowed at the root but fenced off some paths.
blocked_botsstring[]AI crawlers disallowed from the whole site.
llms_txtbooleanWhether /llms.txt exists and is valid Markdown.
llms_txt_urlstring, nullableURL of the llms.txt when present.
llms_txt_linksintegerLinks listed in the llms.txt.
llms_full_txtbooleanWhether /llms-full.txt exists.
sitemapbooleanWhether robots.txt declares at least one sitemap.
sitemapsstring[]Declared sitemap URLs (max 10).
noai_metabooleanHomepage carries a noai/noimageai robots meta.
x_robots_noaibooleanX-Robots-Tag response header carries noai.
jsonld_typesstring[]schema.org @type values found on the homepage.
og_metabooleanOpenGraph tags present.
h1booleanHomepage has an h1.
ssr_text_charsintegerVisible text characters served without JavaScript.
js_dependentbooleanTrue when the no-JS page has almost no text (< 400 chars).
ai_readiness_scoreinteger0–100: crawler access (55) + llms.txt (15) + no-JS text (15) + sitemap (10) + structured data (5).
statusstringok for delivered rows.
extra_ai_botsobjectVerdicts for further AI agents (Perplexity-User, MistralAI-User, Meta-ExternalFetcher, Google-CloudVertexBot, cohere-ai, YouBot, Diffbot, AI2Bot, Timpibot). Not part of the score.
content_signalsstring[]Content-Signal directives in robots.txt (search=yes, ai-input=yes, ai-train=no…).
homepage_readbooleanWhether the homepage could be read without a browser.
titlestring, nullableHomepage <title>.
meta_descriptionstring, nullableHomepage meta description.
langstring, nullableHomepage language attribute.

Add ?format=csv to the runs endpoint to get the same rows as CSV.

Long runs

Run in the background, then poll.

A run that needs more time can go to the background: send "async": true, get 202 with the run id, and poll the runs endpoint until the status is done. Reading a run is free.

import os, time, requests

H = {"Authorization": f"Bearer {os.environ['QD_API_KEY']}"}
r = requests.post("https://api.quanticdata.io/v1/scraper/collectors/ai_readiness/run", headers=H,
                  json={**{"domains":["quanticdata.io","stripe.com"]}, "async": True}, timeout=30)
run_id = r.json()["payload"]["run_id"]
while True:
    run = requests.get(f"https://api.quanticdata.io/v1/scraper/collectors/runs/{run_id}", headers=H, timeout=30).json()["payload"]
    if run["status"] in ("done", "failed"):
        break
    time.sleep(5)
print(run["status"], run["count"])
Python: background run and polling

Errors

What can come back, and what is billed.

Collector run errors
StatusMeaningBilled
400The input does not match the collector (payload.errors)No
401Missing or wrong API keyNo
402Balance and free credit do not cover the run: top upNo
422The input can never resolve; retrying the same input cannot helpNo
424The run failed at the source (blocked, timed out, layout changed); safe to retryNo
429Rate limit or a per-account brake; wait for Retry-AfterNo

Only delivered rows are billed: a run that delivers nothing costs nothing.

Price

$0.003 per delivered site.

What AI readiness audit rows cost at list price
RowsCost
1$0.003
1,000$3.00
10,000$30.00

Up to 50 sites per run; split larger jobs into several runs. The $2 free credit every month covers about 666 sites. No subscription; paid tiers lower the unit price. All collector prices: collector pricing.

Before you run it

Questions developers ask

Is there a free AI readiness audit API?

Every account gets $2 of free usage each month, about 666 sites of this collector at $0.003 each, with no card.

Do I have to handle proxies, retries or blocks?

No. The collector runs on our network and handles them; a run blocked at the source returns 424 and is not billed.

How many rows can one run return?

Up to 50 sites per run (the max_results input, where the collector has one).

Can an AI agent run it?

Yes: the MCP server exposes it as the run_collector tool, with the same input and price. See the MCP server.

Run it on the free credit.

Create an API key, export it as QD_API_KEY and run the example. $0.003 per delivered site, no subscription.