A Weather API That Provides Histori… AI recommendations | Parse
I am looking for a weather API that provides historical hail data for insurance claims analysis.
Data as of Sep 26, 2026 · Based on 290 AI responses from ChatGPT Search and Google AI Mode · See how Parse measures this
For insurance claims analysis, several specialized weather APIs offer historical hail tracking. Key providers include Xweather, HailTrace, and Canopy Weather, which focus on delivering forensic-level data such as storm paths, hail intensity, and hail size. These tools help insurers verify the timeline of damage and facilitate more accurate, objective claim resolutions.
Brands AI recommends here
1.
Vaisala Xweather
Named in 82% of answers
Offers a specialized Hail Archive API with validated historical hail data, size, and frequency. It is best for global forensic investigations and integrating detailed atmospheric trends into insurance risk models.
Evaluating Hail Damage Assessment Tools for Efficient API Workflowshttps://hailstorm.ie/evaluating-api-capabilities-of-hail-damage-assessment-tools-for-seamless-workflow/
Yes. For insurance claims analysis, I’d focus on APIs/data services that provide historical hail footprints with geographic geometry and hail severity, rather than ordinary weather-history APIs.
Strong options
weatherguidance.com — particularly relevant to insurance. It provides historical hail-swath polygons, maximum hail size, date/time windows, and geospatial formats such as JSON/GeoJSON. Its documented hail history goes back to August 2009. It explicitly supports claims, CAT response, underwriting, and portfolio analytics.
swathapi.com — a newer REST API built around NOAA MRMS radar-verified hail. It can return storm swaths and, importantly, property-level exposure with measured hail size. Its storm endpoint supports querying historical verified events by bounding box, time window, and hail type.
— provides event-level historical catastrophe data, including , tornado paths and other perils, intended for insurance, underwriting, claims, and risk analytics.
NOAA/NCEI + MRMS — the public-data route. NOAA's MRMS system provides radar-derived products, while NCEI provides historical weather data through APIs. This can be substantially more work because you'll generally need to process/derive the hail exposure yourself rather than getting a claims-ready hail swath API.
What I'd look for in your use case
For a claims-analysis pipeline, the useful schema is something like:
"Was this insured property inside a verified hail swath on the reported date of loss, and what was the maximum estimated/observed hail size at that location?"
StormIntel looks particularly aligned with that workflow because it explicitly supports historical validation against a book of business and provides hail polygons with severity and dates.
If you tell me (1) U.S. only or worldwide, (2) how many years of history you need, and (3) whether you need address-level results or just lat/lon + swath polygons, I can narrow this down to 2–3 APIs and compare coverage, historical depth, pricing, API format, and accuracy.
HailStrike
When looking for historical hail data specifically tailored for insurance claims analysis, underwriting, and forensic verification, you need high-resolution spatial accuracy (like hail swath mapping and exact hail size/diameter estimates).
Here are top weather API and data providers that specialize in historical hail tracking for insurance workflows:
Vaisala Xweather : Offers a dedicated Hail Archive API designed explicitly for research, risk modeling, and forensic analysis. It provides global or regional-scale historical event data (including maximum hail size and timestamps) and is widely integrated into insurance and property inspection platforms to validate roof and structural claims.
Opterrix : Provides specialized weather and hazard APIs built for property and casualty (P&C) insurers. Their platform delivers address-specific historic storm assessments, detailing the exact date, hazard type, and event severity (including detailed hail tracking) which can integrate directly into First Notice of Loss (FNOL) workflows.
HailStrike : Offers an automated, scalable RESTful JSON API providing historical hail and wind activity. They specialize in detailed storm reports and animated hail swath maps ("AniSwaths") derived from radar and observational data to help verify localized property damage.
Key Features to Look For:
Address-Level Precision: Ensure the API allows coordinate or geocoded address lookups rather than just broad county-wide storm reports.
Hail Metrics: Look for data points indicating maximum hail diameter (in inches/millimeters), probability of severe hail, and storm duration.
Data Depth: Verify how far back their historical archive extends (many commercial providers maintain deep archives spanning 7 to 10+ years back).
Vaisala Xweather (formerly Weather Underground / AerisWeather), Visual Crossing, Opterrix, and StormIntel by Weather Guidance are top weather APIs providing historical hail data specifically tailored for insurance claims validation, forensic analysis, and risk assessment.
Top Weather APIs for Historical Hail Data
Vaisala Xweather offers a robust Hail Archive API covering historical hail events across the U.S., Canada, Europe, and Australia. It is widely used for forensic claim verification and pairs precise location matching with severe weather tracking.
Visual Crossing delivers location-specific historical weather records and climate data tailored for insurance claim reviews. It provides exact property-level metrics regarding hail size, wind, and storm duration to streamline desk adjustments.
Opterrix provides specialized weather and hazard APIs built for the insurance value chain. Its peril history tools offer address-specific historic storm assessments, including detailed hail severity metrics designed to automate First Notice of Loss (FNOL) evaluations.
StormIntel Data API provides direct API access to proprietary hail swaths, tracking severe convective storms back years for portfolio validation, claims verification, and catastrophe modeling.
If you can share which geographic regions you cover and whether you need point-level property lookups or GIS polygon swaths , I can recommend the most cost-effective API tier for your workflow.
Yes. For insurance claims analysis, I’d separate the options into three categories: raw government observations, radar-derived hail footprints, and insurance-focused commercial APIs.
API / dataset
Historical hail
Granularity
Best use
NOAA SWDI / NCEI
Yes
Radar detections + reports
Building your own claims-analysis pipeline
NOAA Storm Events Database
Yes, back to 1950
County/event level
Historical claim/event corroboration
Xweather Hail Archive
Yes
Geographic queries, hail size/intensity
Convenient commercial API
Swath API
Yes/recent historical coverage
Radar-verified swaths + properties
Property-level claims/impact analysis
HailTrace API
Yes
Location/property impact history
Insurance/roofing workflows
Half Mile Hail API
Yes
~0.1° grid tile
Simple, inexpensive screening
1. NOAA SWDI — strong foundation for your own system
NOAA's Severe Weather Data Inventory (SWDI) exposes NEXRAD Level-III hail signatures, storm cells, and preliminary storm reports, with downloadable CSV, XML, KMZ and Shapefile formats.
NOAA's Storm Events Database contains hail events going back decades, with records beginning in 1950. Hail records are generally organized at the county/event level, rather than providing a precise hail footprint at an individual property.
I'd use this as a secondary source, especially for establishing that a reported hail event occurred in the vicinity of a claim.
3. Xweather Hail Archive — convenient commercial API
Xweather has a dedicated historical /hail/archive endpoint providing historical hail occurrences, including hail size and intensity, queried by coordinates/location. Its current archive starts in 2024 for the U.S.
This is attractive if you want a normal commercial JSON API rather than assembling NOAA datasets yourself.
4. Swath API — worth looking at for property-level insurance analysis
Swath says it derives hail from NOAA MRMS radar and provides radar-verified storm swaths that can be joined to parcel/property data. Its API can return properties affected by a storm rather than merely telling you that hail occurred somewhere nearby.
That model is particularly relevant if your analysis looks like:
HailTrace exposes location impact-history functionality and explicitly supports insurance-related fields such as carrier, claim number and roof replacement date.
I'd investigate this if you need claim-oriented reports rather than raw meteorological data.
This is a lightweight option that returns historical NOAA NEXRAD hail detections for a U.S. address or lat/lon. It reports results for approximately a 0.1° grid tile, so it explicitly should not be interpreted as proof that hail struck an individual roof.
What I'd choose for an insurance claims system
If you're building this into an actual claims analytics/validation product, I'd lean toward:
NOAA SWDI/MRMS → geospatial processing → your claims database
rather than relying exclusively on a point-based "hail happened here" API.
The important distinction is that a hail report, a radar hail detection, a radar-derived hail-size estimate, and actual physical roof damage are four different things. For defensible claims analysis, retaining the underlying event geometry, timestamp, hail-size measurement/estimate, data source, and uncertainty is valuable.
If you tell me your requirements—e.g. U.S. only vs. global, historical depth (5/10/30+ years), address-level vs. polygon/swath data, expected API budget, and whether you need hail size—I can narrow this to 2–3 APIs and compare their endpoints, coverage, pricing, and example requests.
Vaisala Xweather (formerly Weather Underground/Mapbox partners/etc.), Opterrix, and Visual Crossing are top weather API providers offering historical hail data specifically tailored for insurance claims, risk modeling, and forensic analysis.
Top Weather APIs for Historical Hail Data
Vaisala Xweather : Features a dedicated Hail Archive API that supplies precise historical hail event data across the U.S., Canada, Europe, Australia, and Japan. It is widely used by insurance platforms (like Loveland Innovations) for roof inspection and claims validation.
Opterrix : Provides high-performance risk and weather APIs specifically designed for property and casualty insurance carriers. It includes address-specific historic storm assessments, hail tracking, and automated FNOL (First Notice of Loss) record attachments.
Visual Crossing : Offers a Timeline Weather API that pulls significant historical environmental events—including verified severe hail and wind damage reports—around specific geographic coordinates or property addresses.
Canopy Weather : Specializes directly in insurance solutions, offering hail date-of-loss verification, hail damage detector scores, and forensic storm mapping to combat fraudulent claims.
If you'd like, let me know:
Do you need address-level geocoding or just regional data?
Are you looking for a developer-first REST API or an end-user dashboard/report tool?
I can help narrow down the best platform for your integration workflow.
For insurance claims analysis, you’ll usually want more than a general historical weather API. Look for data that provides hail occurrence, hail size/severity, exact time, geospatial footprint, and evidence suitable for claim validation. Good options include:
API / Data source
Best fit
Historical hail capability
Notes
Xweather
Claims validation and property-level workflows
Dedicated hail archive with hail size, severity, timestamps, and location queries
Strong fit if you need a ready-to-use hail endpoint. The archive provides hail event data and is designed for hail risk and claims use cases.
NOAA radar datasets (NEXRAD/MRMS)
Building your own analytics model
Long historical record of radar-derived hail indicators such as MESH/POSH
Best for insurers with data science teams; requires more processing.
Verisk Benchmark API
Enterprise claims workflows
Property-specific historical hail, wind, lightning, and other peril verification
Designed specifically for claims and underwriting use cases.
The Weather Company HailVision
High-resolution hail mapping
Radar-derived hail size estimates (MESH) and hail visualization/vector products
Useful for spatial hail swaths and portfolio exposure analysis.
PerilIQ Storm Data API
Address-level storm history
Hail and other severe-weather event history for U.S. addresses
Useful for lighter-weight integrations and property screening.
These are easier to integrate but may be better suited for screening than final claim evidence. HalfMileHail, for example, notes that its radar detections are grid-based and should not be treated as proof that hail hit a specific rooftop.
Data fields I would require for a claims-grade API
At minimum:
Latitude/longitude or insured address
Date/time of hail event
Hail size (inches/mm)
Probability/severity score
Storm footprint or radius
Distance from insured location
Source methodology (radar, observation, modeled)
Historical coverage period
API availability and audit trail
If you are building a production claims system, I would generally evaluate Xweather + NOAA MRMS together: a commercial API for operational workflows and radar data for deeper validation/modeling.
I can also help compare these by coverage years, API pricing, spatial resolution, and suitability for U.S. property claims if you have a target volume (for example, 10k vs. 1M claims/year).
Yes. For insurance claims analysis, I’d prioritize a source that provides historical, radar-derived hail observations or estimated hail size, rather than a general historical weather API.
Best options
Tomorrow.io — Their historical API supports point/polygon queries and long historical periods, but their documented hailSize, hailProbability, and hailScore fields are primarily forecast-oriented rather than a long-term historical hail archive.
Xweather — Probably the closest fit to your requirement. Its Hail Archive API provides historical hail events, including hail size and intensity, and is explicitly positioned for applications including insurance. Current documented coverage begins Jan. 1, 2024 in the U.S., with 24-hour query increments.
The Weather Company / HailVision — A strong option if you need radar-derived spatial hail footprints rather than simply a hail/no-hail value at an address. HailVision provides MESH observations for the contiguous U.S. and Canada at approximately 1-km resolution, including vector data showing areas exceeding specified hail-size thresholds.
NOAA/NWS MRMS — Worth considering if you want to build your own historical hail dataset. The MRMS MESH (Maximum Estimated Size of Hail) product has roughly 1-km spatial resolution and 2-minute temporal resolution. This can provide much richer event footprints, but you'll have substantially more data engineering to do compared with a commercial insurance-oriented API.
HalfMile Hail — A simple U.S. screening API based on NOAA NEXRAD hail detections. It can return historical hail detections for an address or coordinates, but the provider explicitly warns that its ~0.1° grid is not sufficient to establish that hail actually struck a particular property, so I would not use it as the sole evidentiary source for claim adjudication.
What I'd choose for claims analysis
If your workflow is something like:
claim address + date → did a hail event occur nearby? → estimated hail size → event footprint → evidence for claim
I'd shortlist Xweather Hail Archive and Weather Company's HailVision first.
The distinction is important:
Requirement
Xweather Hail Archive
HailVision
NOAA MRMS
Historical hail
Yes
Yes
Yes
Hail size
Yes
Yes (MESH)
Yes (MESH)
One caveat: radar-derived hail is evidence of meteorological hail conditions, not proof that a particular roof was damaged. For defensible claims analysis, I'd preserve the raw observation, timestamp, estimated hail size, distance from the property, radar/source metadata, and spatial footprint rather than reducing the result to a simple boolean.
If you tell me (1) U.S. only or global, (2) how many years of history you need, and (3) whether you need address-level results or GIS/event polygons, I can narrow this down to the best 2–3 APIs and compare coverage, pricing, API format, historical depth, and claim-use suitability.
For insurance claims analysis, underwriting, and date-of-loss verification, you need high-resolution spatial data that identifies exact hail swath sizes, maximum diameters, and storm timestamps at specific street addresses.
Top weather APIs and data providers tailored specifically for historical hail data and insurance workflows include:
Canopy Weather : Specifically built for insurance adjusters and underwriters. They provide Canopy Weather History Reports which deliver hail size and wind speed metrics at specific policy locations. It features a dedicated Canopy Weather REST API enabling JSON outputs directly inside claims management or CRM platforms to confirm dates of loss and validate damage via their proprietary scoring.
Vaisala Xweather (Hail Archive API) : Offers historical hail event data spanning the U.S., Canada, Europe, Australia, and Japan. Their robust data services are frequently embedded by property inspection and drone software (like Loveland Innovations' IMGING) to cross-reference property addresses with precise historical weather data during claims assessments.
NOAA Severe Weather Data Inventory (SWDI) : A public/government option providing an integrated database of historical severe weather records, including hail estimates derived from NEXRAD radar. Developers can query the NOAA SWDI API to pull raw GIS shapefiles, CSVs, or XML data. Note: Data post-2013 (following the Dual-Pol radar upgrade) is significantly more accurate for distinguishing hail from heavy rain.
To help narrow down the best choice, let me know:
Do you need direct JSON API integration into an existing claims platform, or manual/batch report generation?
Are you looking strictly for U.S. coverage , or do you require global/international data?
For insurance claims analysis, verifying property-specific hail size, time, and severity requires robust severe-weather APIs that pull from radar-derived metrics, local storm reports, and historical archives.
Top weather API providers tailored for insurance claims, risk modeling, and forensic verification include:
Xweather (by Vaisala): Offers a dedicated Hail Archive API designed explicitly for risk modeling, research, and forensic analysis. It supplies historical records on hail size, severity, and duration across the U.S., Canada, Europe, Australia, and Japan, making it a primary engine integrated into automated property and roofing claim assessment platforms.
Visual Crossing Weather API: Features a Timeline Weather API that can interleave severe weather event data (including hail size reports from storm spotters, public logs, and official reporting channels) directly alongside standard historical weather metrics. It is widely used for streamlined claims processing workflows.
Opterrix Weather & Hazard APIs: Built specifically for the insurance value chain. Opterrix delivers address-specific historic storm assessments, granular convective storm and hail data, and automated First Notice of Loss (FNOL) integrations to validate whether a specific location experienced damaging hail on a given date.
IBM Weather Company Severe Weather Package (via Weather.com): Provides parsed and prioritized National Weather Service (NWS) local storm reports (wind damage, hail) as well as radar-derived raster and vector imagery layers across multiple time intervals for accumulation analysis and verification.
If you can share what geographic scale you are operating on (e.g., single-address lookup vs. portfolio-wide accumulation analysis) or if you need automated FNOL integration , I can recommend the most cost-effective API tier or provider for your workflow.
Yes. For insurance claims analysis, I’d prioritize APIs that provide historical, location-specific hail observations/estimates, not just generic historical weather.
Best options
API
Historical hail
Geographic detail
Best for
Meteomatics
Yes — dedicated hail parameter, including maximum hail size
Point, grids, areas; high resolution
Claims verification & underwriting
Tomorrow.io
Historical archive; availability of specific severe-weather layers should be confirmed for your plan
Point/polygon/polyline
General weather + claims analytics
Swath
Radar-verified hail swaths using NOAA MRMS
Storm swaths + properties/parcels
U.S. property claims
My first choice would be Meteomatics. Its API specifically exposes hail as a historical weather parameter, with intervals from 10 minutes through 24 hours and output in centimeters or inches. It also provides a precip_type_intensity field that can indicate hail and hail size.
More importantly for your use case, Meteomatics explicitly markets its data for insurance claims verification, including matching the location and timing of a claim against historical weather and providing high-resolution hail data. Its insurance offering says historical data extends back to 1940.
Swath is worth investigating if your claims are primarily in the United States. Its API says it provides radar-verified storm data, with hail verified against NOAA MRMS radar, and can associate storm swaths with parcels/properties. That is potentially much closer to what an insurer needs than a generic weather API.
Tomorrow.io has a Historical API that accepts points, polygons and polylines and supports historical timelines. Its historical archive goes back to 2000, although extended historical access is a premium offering and availability/pricing depends on the requested data layers.
For automated claim adjudication, I'd want the API to return something like:
claim_location: 34.85,-82.40
claim_time: 2026-06-14T18:32:00Z
hail_detected: true
maximum_hail_size: 2.25 in
hail_start: 18:21 UTC
hail_end: 18:47 UTC
confidence: 0.91
source: MRMS/radar/observation
The important distinction is hail occurrence + severity + exact time/location. A simple weather API saying "thunderstorms occurred" isn't nearly as useful for determining whether a roof claim is consistent with a hail event.
If you tell me your requirements—for example, U.S. only vs. global, years of history needed, address/lat-long vs. ZIP/polygon, desired hail-size accuracy, and approximate number of claims per month—I can narrow this to 2–3 APIs and compare coverage, resolution, pricing, and API response formats.
weatherguidance.com — particularly relevant to insurance. It provides historical hail-swath polygons, maximum hail size, date/time windows, and geospatial formats such as JSON/GeoJSON. Its documented hail history goes back to August 2009. It explicitly supports claims, CAT response, underwriting, and portfolio analytics.
