Plagiarisme detektering API: indsende tekst, meningsmåling rapporten.

En håndfuld endpoints, bærer auth, transparent kredit prisfastsættelse. Bygget til agenturer, redaktionelle rørledninger og LMS-tilstødende værktøjer.

Din API- nøgle

Log på for at få din API-nøgle. Nøgler kommer med hver konto; API-checks faktureres i kreditter.

Tilmeld dig

Endpoints

POST /api/v1/check/

Indsend en tekst til kontrol. Returnerer 202 med et check_id. Body: JSON med et tekstfelt, valgfri dyb boolean.

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>/

Poll for status; når status er gjort den fulde rapport er inkluderet: score, per-sentance match typer med tillid og kildeuddrag, og kildelisten.

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

GET /api/v1/checks/

Liste dine seneste kontroller, nyeste først. Valgfri forespørgselsparamer: grænse (1- 100, standard 20) og status (kørt, gjort, mislykkedes...). Reconcile indsendelser og tilbage din egen instrumentbræt uden at gemme hver check_id.

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

Python- eksempel

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"])

JavaScript- eksempel

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));

Prissætning

Identisk til webstedet: 1 kredit = 1.000 ord scannet, rundet op pr. check; dyb kontrol koster dobbelt. Kreditpakker er gyldige 365 dage; abonnementer genopfyldning månedligt og inkluderer API på alle niveauer. Ingen separate API-niveau, ingen per-sæder gebyrer. Se planer og pakker

Kontrol køre asynkront (real, rate-begrænset webhentning tager 20-45 sekunder) - poll status endpoint snarere end at holde forbindelsen åben. HTTP 402 betyder utilstrækkelige kreditter; svaret omfatter, hvad kontrollen ville koste.

Ofte stillede spørgsmål

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.