Collectors · SEO & keywords
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.

First call
Install, call, read the rows.
pip install requestsimport 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"))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.
| Parameter | Type | Required | Meaning |
|---|---|---|---|
domains | array | yes | Domains or site URLs, one per line (max 50). |
country | string | no | ISO 3166-1 alpha-2 code — proxy exit geo and Google locale (gl). Omit for the default pool. |
max_results | integer | no (default 20) | How many sites to deliver at most (1–50). You pay only for delivered sites. |
Response fields
28 fields per site.
| Field | Type | What it holds |
|---|---|---|
domain | string | Registrable host (no www). |
url | string | Homepage URL fetched. |
robots_txt | boolean | Whether a robots.txt exists. |
ai_bots | object | Per-crawler verdict: { gptbot: "allowed|partial|blocked", claudebot: …, … }. |
allowed_bots | string[] | AI crawlers with no restrictions. |
partial_bots | string[] | AI crawlers allowed at the root but fenced off some paths. |
blocked_bots | string[] | AI crawlers disallowed from the whole site. |
llms_txt | boolean | Whether /llms.txt exists and is valid Markdown. |
llms_txt_url | string, nullable | URL of the llms.txt when present. |
llms_txt_links | integer | Links listed in the llms.txt. |
llms_full_txt | boolean | Whether /llms-full.txt exists. |
sitemap | boolean | Whether robots.txt declares at least one sitemap. |
sitemaps | string[] | Declared sitemap URLs (max 10). |
noai_meta | boolean | Homepage carries a noai/noimageai robots meta. |
x_robots_noai | boolean | X-Robots-Tag response header carries noai. |
jsonld_types | string[] | schema.org @type values found on the homepage. |
og_meta | boolean | OpenGraph tags present. |
h1 | boolean | Homepage has an h1. |
ssr_text_chars | integer | Visible text characters served without JavaScript. |
js_dependent | boolean | True when the no-JS page has almost no text (< 400 chars). |
ai_readiness_score | integer | 0–100: crawler access (55) + llms.txt (15) + no-JS text (15) + sitemap (10) + structured data (5). |
status | string | ok for delivered rows. |
extra_ai_bots | object | Verdicts for further AI agents (Perplexity-User, MistralAI-User, Meta-ExternalFetcher, Google-CloudVertexBot, cohere-ai, YouBot, Diffbot, AI2Bot, Timpibot). Not part of the score. |
content_signals | string[] | Content-Signal directives in robots.txt (search=yes, ai-input=yes, ai-train=no…). |
homepage_read | boolean | Whether the homepage could be read without a browser. |
title | string, nullable | Homepage <title>. |
meta_description | string, nullable | Homepage meta description. |
lang | string, nullable | Homepage 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"])Errors
What can come back, and what is billed.
| Status | Meaning | Billed |
|---|---|---|
400 | The input does not match the collector (payload.errors) | No |
401 | Missing or wrong API key | No |
402 | Balance and free credit do not cover the run: top up | No |
422 | The input can never resolve; retrying the same input cannot help | No |
424 | The run failed at the source (blocked, timed out, layout changed); safe to retry | No |
429 | Rate limit or a per-account brake; wait for Retry-After | No |
Only delivered rows are billed: a run that delivers nothing costs nothing.
Price
$0.003 per delivered site.
| Rows | Cost |
|---|---|
| 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.