Perfect for local prototyping, API evaluation, and testing the DOI citation filter capabilities.
- 5 requests / month limit
- 1,000 requests / hour speed
- 10,240 MB bandwidth included
Lensetek Research AI is a specialized secure API gateway built to handle rigorous academic research, tabular data analysis, and citation verification. Standard LLMs hallucinate references and struggle with math; Lensetek solves these limitations at the gateway layer.
Standard LLMs generate plausible-sounding but completely fabricated paper DOIs and incorrect mathematical summaries. Lensetek intercepts and enforces verification at the gateway level.
CSV / Tabular Input Interceptor
Instantly intercepts tabular dataset inputs (such as CSV layouts) and executes programmatic calculations in an isolated sandbox. Exact metrics (means, medians, standard deviations, p-values) are dynamically injected into the prompt context to guarantee 100% mathematical precision.
Live DOI & OpenAlex Validator
Scans draft outputs for academic references in real-time, cross-checking DOIs and paper titles against authority registers (Crossref, OpenAlex, PubMed). Hallucinated references are dynamically pruned and bibliographic indices are re-indexed prior to delivery.
Powering a modular lifecycle of 25 research skills, Lensetek Research AI autonomously coordinates every phase of your scientific workflow from ideation to peer review.
Spot emerging scientific voids, analyze research gaps from recent literature, and formulate testable hypotheses with grounded rationale.
Systematically compile publications from OpenAlex, PubMed, and arXiv. Filter indexing quality (Scopus Q1/Q2) and build evidence matrices.
Define precise experimental methodologies, harvest dynamic dataset sources, and structure parameters for computational modeling.
Execute descriptive and inferential statistical calculations, evaluate p-value significances, and run model evaluation metrics in the sandbox.
Refactor text for academic style, reduce similarity/turnitin indices, format template rules (IEEE/APA), and audit bibliographic metadata.
Simulate objective peer review, spot logic cracks in arguments, and generate response-to-reviewers matrices for journal submission.
Discover how research institutions, university labs, and enterprise AI platforms deploy Lensetek Research AI.
Academic authors and journal portals use Lensetek to generate draft sections while ensuring every referenced paper exists on Crossref with a valid resolution URL.
Data scientists pass raw CSV files directly to the API endpoint. Lensetek runs deterministic calculations in the sandbox before generating statistical text.
Research teams aggregate hundreds of DOIs to extract technical parameters, comparison matrices, and methodology details into structured summaries.
Grant writers cross-check proposed invensions against existing literature and patents to prove novelty and clear research void justification.
Target our gateway URL and choose dynamically between our speed-optimized flash engine (lensetek/research-v4-flash) or reasoning-focused expert engine (lensetek/research-v4-pro).
lensetek/research-v4-flash
lensetek/research-v4-pro
X-RapidAPI-Key in client-side code (frontend browsers, mobile applications). Always route requests through a secure backend proxy or serverless function.
curl --request POST \
--url https://lensetek-research-ai.p.rapidapi.com/v1/chat/completions \
--header 'Content-Type: application/json' \
--header 'X-RapidAPI-Host: lensetek-research-ai.p.rapidapi.com' \
--header 'X-RapidAPI-Key: YOUR_RAPIDAPI_KEY' \
--data '{
"model": "lensetek/research-v4-flash",
"messages": [
{
"role": "user",
"content": "Perform a reference audit on CRISPR gene editing advancements."
}
]
}'
import openai
# Drop-in replacement with standard OpenAI SDK
client = openai.OpenAI(
base_url="https://lensetek-research-ai.p.rapidapi.com/v1",
api_key="YOUR_RAPIDAPI_KEY"
)
response = client.chat.completions.create(
model="lensetek/research-v4-pro",
messages=[
{"role": "user", "content": "Analyze tabular CSV data and output verified DOIs."}
],
extra_headers={
"X-RapidAPI-Host": "lensetek-research-ai.p.rapidapi.com"
}
)
print(response.choices[0].message.content)
const axios = require('axios');
axios.post(
'https://lensetek-research-ai.p.rapidapi.com/v1/chat/completions',
{
model: 'lensetek/research-v4-flash',
messages: [
{ role: 'user', content: 'Generate paper outline with active DOI check.' }
]
},
{
headers: {
'Content-Type': 'application/json',
'X-RapidAPI-Host': 'lensetek-research-ai.p.rapidapi.com',
'X-RapidAPI-Key': 'YOUR_RAPIDAPI_KEY'
}
}
).then(res => console.log(res.data))
.catch(err => console.error(err));
package main
import (
"bytes"
"fmt"
"net/http"
)
func main() {
url := "https://lensetek-research-ai.p.rapidapi.com/v1/chat/completions"
payload := []byte(`{
"model": "lensetek/research-v4-pro",
"messages": [{"role": "user", "content": "Cite 3 verified Crossref journals."}]
}`)
req, _ := http.NewRequest("POST", url, bytes.NewBuffer(payload))
req.Header.Set("Content-Type", "application/json")
req.Header.Set("X-RapidAPI-Host", "lensetek-research-ai.p.rapidapi.com")
req.Header.Set("X-RapidAPI-Key", "YOUR_RAPIDAPI_KEY")
resp, _ := http.DefaultClient.Do(req)
defer resp.Body.Close()
fmt.Println("Status Code:", resp.StatusCode)
}
Subscribe directly on RapidAPI. All plans share an operational bandwidth quota of 10,240 MB per month.
Perfect for local prototyping, API evaluation, and testing the DOI citation filter capabilities.
No base monthly fee. Pay dynamically per inference request. Ideal for custom pipeline integration.
For volume researchers and academic platforms. Includes 1,000 free requests per month.
Switch your OpenAI client base URL, route data through deterministic sandboxes, and build high-confidence academic applications.
Get Started on RapidAPI