Head to head · Weather forecasts · October 2026 research run

Meteomatics Weather API vs Stormglass API

Meteomatics Weather API scores 49.6 (D) on agent readiness against Stormglass API's 39.9 (E), and leads in 5 of 7 scored categories. Stormglass API leads on payments & pricing. Both do weather forecasts.

Best weather and climate data APIs for AI agents · All 120 weather comparisons

Which one, for what

Meteomatics Weather API D

Good for Companies in energy, aviation, insurance and logistics that need many models, long history, polygon and route queries and an SLA, and will buy by contract.

Ahead on

  • Schema & documentation, 71 against 40
  • Agent ergonomics, 80 against 65
  • Security & auth, 54 against 44
  • Maintenance & community, 42 against 15
  • Transparency & trust, 59 against 45

Watch for

No public price, free tier or self-serve signup found. Credentials arrive by email after a sales conversation

Stormglass API E

Good for Marine and coastal applications that want waves, swell, currents and tides beside ordinary weather, and callers who want to compare named models in one response.

Ahead on

  • Payments & pricing, 25 against 0

Watch for

No OpenAPI file, llms.txt, official SDK or changelog was found. The docs are eleven Markdown pages

Score by category

CategoryWeight this runMeteomatics Weather APIStormglass APIEdge
Reliability16%203434even
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.27140Meteomatics Weather API +31
Agent ergonomics13%16.28065Meteomatics Weather API +15
Security & auth14%17.55444Meteomatics Weather API +10
Payments & pricing10%12.5025Stormglass API +25
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.84215Meteomatics Weather API +27
Transparency & trust7%8.85945Meteomatics Weather API +14
Negative events≤1500
Total49.6 · D39.9 · E

Facts side by side

FactMeteomatics Weather APIStormglass API
KindHTTP APIHTTP API
VendorMeteomatics AGStorm Glass AB
Hosted endpointhttps://api.meteomatics.comhttps://api.stormglass.io/v2
TransportsHTTPHTTP
AuthOAuth or keyAPI key
PricingPaidFreemium
x402nono
LicenceProprietary service under Meteomatics' general terms and conditions. The Python connector on GitHub is MITProprietary service under Storm Glass AB's Terms and Conditions. The Free and Small plans are not for commercial use
Tools exposed9none
Read-only variant documentednono
llms.txtyesno
Last release2026-08-242026-02-26
Terms last updatedno date givenno date given
Privacy policy last updatedno date givenno date given
Customer content may train modelsnot found in the textnot found in the text
Terms restrict automated accessnot found in the textnot found in the text
Terms restrict benchmarkingnot found in the textnot found in the text
Terms or service can change without noticenot found in the textyes
Arbitration or class-action waivernot found in the textyes
Popularity56 stars, 16k PyPI/wknone

Verdicts

Meteomatics Weather API

A public OpenAPI file, a hosted MCP server whose nine tools are all marked read-only, a published SLA with compensation and ISO 27001 certification suit company use. Access needs a sales contract, with no public price, free tier or self-serve signup found, no status page, and REST calls that authenticate with a username and password.

Stormglass API

A read-only weather and marine API with about 70 hourly parameters, per-source values from named national models, tide data and ERA5 history from 2014. No OpenAPI file, status page, SDK or security page was found, the free plan allows 10 requests a day, and the docs and FAQ disagree on the status code for a spent quota.

Before you call either

Meteomatics Weather API

  1. Ask the account owner for credentials first. There is no signup, and both the REST API and the MCP server need a Meteomatics account with API access
  2. Build REST URLs as validdatetime/parameters/location/format, for example 2026-10-08T00:00:00Z/t_2m:C/52.52,13.40/json. Parameter names carry their unit after a colon
  3. Keep each query to 10 locations and 10 parameters unless the contract says otherwise, and use POST when a GET URL passes 2,000 characters
  4. Send credentials or the token in the Authorization header. Avoid the documented access_token query parameter, which puts the token in URLs and logs
  5. Read /user_stats_json before a large job. It reports queries sent and the contract's limits, and 429 means a limit is spent
  6. Treat reserved values such as -888 and -999 as invalid or missing data, and shrink the request when a 408 arrives after the 300-second timeout

Stormglass API

  1. Send the key as Authorization: KEY with no Bearer prefix. A missing or wrong key returns 403 with {"errors":{"key":"API key is invalid"}}
  2. Always pass source=sg or a short source list on /weather/point. The default is every source, which multiplies the size of each hourly record
  3. Treat 402 as a spent daily quota, not a billing failure, and stop until the next day. Read meta.requestCount against meta.dailyQuota on each response
  4. Use /historical/point for past dates, at most 10 days a call and nothing newer than about 7 days. /weather/point looks back 14 days only
  5. Send and read all times in UTC. Tide sea levels are relative to the chosen datum (MSL by default) and are not water depth

Questions

Which is better for AI agents, Meteomatics Weather API or Stormglass API?

Meteomatics Weather API scores 49.6 (D) on agent readiness against Stormglass API's 39.9 (E), and leads in 5 of 7 scored categories. Stormglass API leads on payments & pricing.

Do Meteomatics Weather API and Stormglass API need an API key?

Meteomatics Weather API takes an API key or an OAuth sign-in. Stormglass API needs an API key.

Can an agent call Meteomatics Weather API and Stormglass API without installing anything?

Yes. Meteomatics Weather API has a hosted endpoint at https://api.meteomatics.com and Stormglass API at https://api.stormglass.io/v2.

Other comparisons with Meteomatics Weather API or Stormglass API

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