API ki te kite i te whakawāteatanga: tuku i te kupu, pātai ki te pūrongo.

He tokomaha nga wāhi mutunga, te mana kaihautū, te utu ā-pūtea mārama. I hangaia mō ngā kaporeihana, ngā pūrere tuhituhi me ngā utauta LMS-tata.

Ko tōtou kī API

Kei te tāuru i tōna pūtātau API. Ko ngā pūtātau e tae ana ki ia pūkete; Ka whakapūtātia ngā tātari API ki ngā pūtea.

Ka whakaingoatia te whakaingoatanga

Whakamutunga

POST /api/v1/check/

Whakahauhau i tētahi kupu hei whakamātautau. Ka hoki ki te 202 me tētahi tātari_id. Rōpū: JSON me tētahi āpure kupu, āhua ā-pūtātau ā-pūtātau.

curl -X POST https://plagiarism.free/api/v1/check/ \
  -H "Authorization: Bearer YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{"text": "The text you want to check..."}'

GET /api/v1/check/<check_id>/

Ko te pāpāhotanga mō te tūnga; ina mahia te tūnga, kei roto te pūrongo katoa: te pūkete, ngā momo ōrite-whakapae me te whakapono me ngā whakahuatanga pūtake, me te rārangi pūtake.

curl https://plagiarism.free/api/v1/check/CHECK_ID/ \
  -H "Authorization: Bearer YOUR_KEY"

GET /api/v1/checks/

Ko te rārangi o ngā arotakenga o nāianei, te tuatahi o te hōu. Ko ngā tohu arotake ā-pātahi: te tepe (1-100, te pūmau 20) me te tūnga (whakatautau, i oti, i whakapeka...). Whakatautau i ngā tono me te whakarerekē i tō rātou ake papatono kāore i te rokirokia tātari_id.

curl "https://plagiarism.free/api/v1/checks/?limit=20&status=done" \
  -H "Authorization: Bearer YOUR_KEY"

Tauira Python

import time
import requests

API = "https://plagiarism.free/api/v1/check/"
HEADERS = {"Authorization": "Bearer YOUR_KEY"}

r = requests.post(API, json={"text": open("essay.txt").read()}, headers=HEADERS)
check_id = r.json()["check_id"]

while True:
    report = requests.get(f"{API}{check_id}/", headers=HEADERS).json()
    if report["status"] in ("done", "failed"):
        break
    time.sleep(3)

print(report["score_pct"], "% matched")
for source in report["sources"]:
    print(source["pct_of_document"], source["url"])

Hei tauira

const API = "https://plagiarism.free/api/v1/check/";
const headers = { "Authorization": "Bearer YOUR_KEY", "Content-Type": "application/json" };

const { check_id } = await fetch(API, {
  method: "POST", headers, body: JSON.stringify({ text })
}).then(r => r.json());

let report;
do {
  await new Promise(res => setTimeout(res, 3000));
  report = await fetch(`${API}${check_id}/`, { headers }).then(r => r.json());
} while (!["done", "failed"].includes(report.status));

Whakataurite

He ōrite ki te pae: 1 te pūtea = 1,000 ngā kupu i whakamātauria, i whakarurua ki ia tātari; ko ngā tātaritanga hōhonu e utu ana i te rua. He tika ngā pakipū pūtea mo ngā rā 365; ko ngā tātai i te marama e tāpiri ana, ā, kei roto ko te API i ia taumata. Kāore he taumata API motuhake, kāore he utu ā-rohe. Tirohia ngā mahere me ngā pakiaka

Ka haere ngā arotakenga ki te āhua kore (e whai ana te tīwae tūturu, te āhua o te āhua o te tīwae i te 20–45 sekona) - ka pātai te wāhi mutunga o te tūnga i te wā e whakatū ai te hononga. Ko te tikanga o HTTP 402 he iti rawa ngā moni; Kei roto i te urupare ko te utu o te arotakenga.

Ko nga pātai e pā ana

Two endpoints. POST /api/v1/check/ with your text returns a check_id; GET /api/v1/check/check_id/ returns status while the check runs and the full report JSON (score, matched sentences, sources) when done. Auth is a Bearer key from your account page. Code samples in curl, Python and JavaScript are below.

The same transparent unit as the site: 1 credit per 1,000 words scanned, rounded up per check. Credit packs start at $4.99 for 30 credits and are valid a full year; the $7.99/month Starter plan includes 60 credits and API access. No per-seat fees, no separate API pricing tier.

A check takes roughly 20-45 seconds because it performs real, rate-limited web retrieval and page comparison - the API is asynchronous for that reason. Submissions queue fairly; paid checks get priority. Poll the status endpoint every few seconds rather than holding the connection open.

Everything the web report shows: overall matched percentage, per-sentence match type (exact / near / none) with confidence, the matched source excerpt for each flagged sentence, and the source list with URLs and per-source match percentages. Enough to render your own report UI or gate a workflow.

Yes - that is what it is for: LMS-adjacent tools, editorial workflows, agency content pipelines. Volume is metered purely by credits, and the per-check word cap is 25000 words. If you need sustained high volume, contact us and we will provision for it rather than let queues degrade.