Remulous Labs normalizes messy public records — H-1B certifications, WARN Act layoffs, FBI crime statistics — into clean, provenance-linked APIs. One documented endpoint per dataset, instead of dozens of scattered portals and files.
No sales calls. No setup. Get live provenance-cited data in under five minutes.
Browse the three APIs and choose the dataset that fits your use case. Each is independent — use one or all three.
Free tier included on every product. No credit card required to start. Upgrade when you need more monthly calls.
Swap your key into the snippet below, hit the endpoint, and you're reading live data with provenance on every record.
curl -X GET "https://sponsorlens-h-1b-labor-cert-api.p.rapidapi.com/v1/certifications?employer=nvidia&program=h-1b&limit=5" \
-H "X-RapidAPI-Key: YOUR_KEY_HERE" \
-H "X-RapidAPI-Host: sponsorlens-h-1b-labor-cert-api.p.rapidapi.com"Example using SponsorLens. Replace employer=nvidia with any employer, or filter by program (h-1b, perm, h-2a, h-2b). → Get your key on RapidAPI
Each is independent — use one or all three. Same free tier, same schema conventions, same provenance model across every product.
U.S. visa-sponsorship records from DOL filings — 728k+ H-1B, PERM, H-2A, and H-2B certifications across FY2024–FY2026, queryable by employer, program, occupation, and wage.
GET /v1/certifications
Built for: recruiting tools · compliance · immigration research
Docs & pricing →Provenance-first state WARN-notice layoffs data — real notices, normalized across states, each traceable back to its official source filing.
GET /v1/notices
Built for: HR tech · financial analysis · journalism
Docs & pricing →FBI UCR crime statistics for 17,000+ US cities and all 50 states — 8 Part I offenses with per-100k rates and 8-year trends. Parsed from the official RETA master file.
GET /v1/crime/city
Built for: location intelligence · proptech · civic data
Docs & pricing →Records carry source provenance where available — agency, source URL, and ingestion timestamp.
Request
curl -X GET "https://sponsorlens-h-1b-labor-cert-api.p.rapidapi.com/v1/certifications?employer=nvidia&program=h-1b&limit=1" \
-H "X-RapidAPI-Key: YOUR_KEY_HERE" \
-H "X-RapidAPI-Host: sponsorlens-h-1b-labor-cert-api.p.rapidapi.com"const url =
"https://sponsorlens-h-1b-labor-cert-api.p.rapidapi.com/v1/certifications?employer=nvidia&program=h-1b&limit=1";
const res = await fetch(url, {
headers: {
"X-RapidAPI-Key": "YOUR_KEY_HERE",
"X-RapidAPI-Host": "sponsorlens-h-1b-labor-cert-api.p.rapidapi.com"
}
});
const data = await res.json();
console.log(data.certifications);import requests
url = "https://sponsorlens-h-1b-labor-cert-api.p.rapidapi.com/v1/certifications"
headers = {
"X-RapidAPI-Key": "YOUR_KEY_HERE",
"X-RapidAPI-Host": "sponsorlens-h-1b-labor-cert-api.p.rapidapi.com",
}
params = {"employer": "nvidia", "program": "h-1b", "limit": 1}
data = requests.get(url, headers=headers, params=params).json()
print(data["certifications"])Response
{
"count": 1190,
"limit": 1,
"offset": 0,
"filters": { "employer": "nvidia", "program": "h-1b" },
"certifications": [
{
"id": "0e18043133d39b7b",
"employer": "NVIDIA Corporation",
"ticker": "NVDA",
"program": "h-1b",
"case_status": "certified",
"job_title": "Software Engineer",
"soc_code": "15-1252.00",
"soc_title": "Software Developers",
"worksite_city": "Redmond",
"worksite_state": "WA",
"wage": { "from": 212202.0, "to": 235750.0, "unit": "year",
"annual_from": 212202.0, "annual_to": 235750.0 },
"prevailing_wage": { "amount": 212202.0, "unit": "year", "annual": 212202.0 },
"decision_date": "2025-12-30",
"fiscal_year": 2026,
"provenance": {
"source": "DOL-OFLC-LCA",
"source_url": "https://www.dol.gov/.../LCA_Disclosure_Data_FY2026_Q1.xlsx",
"ingested_at": "2026-06-11T23:43:14+00:00"
}
}
]
}Request
curl -X GET "https://layofflens-warn-data-api.p.rapidapi.com/v1/notices?state=TX&min_affected=100&limit=2" \
-H "X-RapidAPI-Key: YOUR_KEY_HERE" \
-H "X-RapidAPI-Host: layofflens-warn-data-api.p.rapidapi.com"const url =
"https://layofflens-warn-data-api.p.rapidapi.com/v1/notices?state=TX&min_affected=100&limit=2";
const res = await fetch(url, {
headers: {
"X-RapidAPI-Key": "YOUR_KEY_HERE",
"X-RapidAPI-Host": "layofflens-warn-data-api.p.rapidapi.com"
}
});
const data = await res.json();
console.log(data.notices);import requests
url = "https://layofflens-warn-data-api.p.rapidapi.com/v1/notices"
headers = {
"X-RapidAPI-Key": "YOUR_KEY_HERE",
"X-RapidAPI-Host": "layofflens-warn-data-api.p.rapidapi.com",
}
params = {"state": "TX", "min_affected": 100, "limit": 2}
data = requests.get(url, headers=headers, params=params).json()
print(data["notices"])Response
{
"count": 117,
"limit": 2,
"offset": 0,
"filters": { "state": "TX", "min_affected": 100 },
"notices": [
{
"id": "58fd002ecfef07bf",
"employer": "JPMorgan Chase & Co.",
"state": "TX",
"city": "Plano",
"county": "Collin",
"num_affected": 244,
"notice_date": "2026-06-23",
"effective_date": "2026-08-21",
"provenance": {
"source": "TX-TWC",
"source_url": "https://www.twc.texas.gov/.../warn-act-listings-2026-twc.xlsx",
"ingested_at": "2026-07-04T07:27:02+00:00",
"filing_lag_days": 59
}
}
]
}Request
curl -X GET "https://us-city-crime-statistics-fbi-ucr17.p.rapidapi.com/v1/crime/city?city=Dayton&state=OH&year=2024" \
-H "X-RapidAPI-Key: YOUR_KEY_HERE" \
-H "X-RapidAPI-Host: us-city-crime-statistics-fbi-ucr17.p.rapidapi.com"const url =
"https://us-city-crime-statistics-fbi-ucr17.p.rapidapi.com/v1/crime/city?city=Dayton&state=OH&year=2024";
const res = await fetch(url, {
headers: {
"X-RapidAPI-Key": "YOUR_KEY_HERE",
"X-RapidAPI-Host": "us-city-crime-statistics-fbi-ucr17.p.rapidapi.com"
}
});
const data = await res.json();
console.log(data.results);import requests
url = "https://us-city-crime-statistics-fbi-ucr17.p.rapidapi.com/v1/crime/city"
headers = {
"X-RapidAPI-Key": "YOUR_KEY_HERE",
"X-RapidAPI-Host": "us-city-crime-statistics-fbi-ucr17.p.rapidapi.com",
}
params = {"city": "Dayton", "state": "OH", "year": 2024}
data = requests.get(url, headers=headers, params=params).json()
print(data["results"])Response
{
"results": [
{
"location": "DAYTON",
"state": "OH",
"population": 134857,
"data_year": 2024,
"data_source": "FBI UCR RETA reta-2024.zip, year 2024",
"coverage_rate": 1.0,
"violent_crime": { "rate_per_100k": 1339.2, "count": 1806 },
"property_crime": { "rate_per_100k": 4334.2, "count": 5845 },
"offenses": {
"murder": { "rate_per_100k": 29.7, "count": 40 },
"robbery": { "rate_per_100k": 252.9, "count": 341 },
"aggravated_assault": { "rate_per_100k": 940.3, "count": 1268 },
"motor_vehicle_theft": { "rate_per_100k": 1330.3, "count": 1794 }
}
}
]
}Examples match each product's live API docs. Full schemas, every parameter, and a one-click test console are on each product's docs page.
The same principle runs through every product we build.
Every record traces back to the primary public filing it came from — California EDD, DOL OFLC, FBI UCR. No black-box scores. You can always see where the data originated.
We do the unglamorous work of reconciling inconsistent public sources into one clean, predictable schema you can build on. Same field names, same types, every time.
No sales calls. Get a key on RapidAPI, query a documented endpoint, and pay only for what you use. Free tier on every product.