# Meteomatics Weather API vs Xweather Weather API

> Xweather Weather API scores 67.1 (B) on agent readiness against Meteomatics Weather API's 49.6 (D), and leads in 5 of 7 scored categories. Both do weather current. Category scores, facts, verdicts and agent notes side by side.

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- Slim: https://www.anchorterminal.com/compare/meteomatics-vs-xweather.min.md (~780 tokens, same facts, less prose, for token-sensitive contexts)
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- Site index for agents: https://www.anchorterminal.com/llms.txt (full text: https://www.anchorterminal.com/llms-full.txt)
- API: https://www.anchorterminal.com/api/v1/index.json
- Updated: 2026-10-08

Xweather Weather API scores 67.1 (B) on agent readiness against Meteomatics Weather API's 49.6 (D), and leads in 5 of 7 scored categories. Both do weather current.

- Meteomatics Weather API: grade D, 49.6/100, rank #606 of 722. Markdown https://www.anchorterminal.com/tools/meteomatics.md · JSON https://www.anchorterminal.com/api/v1/tools/meteomatics.json
- Xweather Weather API: grade B, 67.1/100, rank #219 of 722. Markdown https://www.anchorterminal.com/tools/xweather.md · JSON https://www.anchorterminal.com/api/v1/tools/xweather.json

## 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.

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

### Xweather Weather API (B)

Good for: Teams that need lightning, hail, road weather or tropical data beside ordinary conditions and forecasts, with an MCP server and an OpenAPI file ready for agents.

Ahead on:
- Reliability, 74 against 34
- Schema & documentation, 83 against 71
- Payments & pricing, 32 against 0
- Maintenance & community, 81 against 42
- Transparency & trust, 68 against 59

Watch for: The REST API documents `client_id` and `client_secret` only as query parameters, and the MCP server also accepts the key as `?api_key=`


## Score by category

| Category | Weight | Meteomatics Weather API | Xweather Weather API | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 34 | 74 | Xweather Weather API +40 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 71 | 83 | Xweather Weather API +12 |
| Agent ergonomics | 13% (16.2 this run) | 80 | 78 | Meteomatics Weather API +2 |
| Security & auth | 14% (17.5 this run) | 54 | 52 | Meteomatics Weather API +2 |
| Payments & pricing | 10% (12.5 this run) | 0 | 32 | Xweather Weather API +32 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 42 | 81 | Xweather Weather API +39 |
| Transparency & trust | 7% (8.8 this run) | 59 | 68 | Xweather Weather API +9 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **49.6 · D** | **67.1 · B** | |

## Facts side by side

| Fact | Meteomatics Weather API | Xweather Weather API |
| --- | --- | --- |
| Kind | HTTP API | HTTP API |
| Vendor | Meteomatics AG | Vaisala Oyj |
| Hosted endpoint | `https://api.meteomatics.com` | `https://data.api.xweather.com` |
| Transports | HTTP | HTTP |
| Auth | OAuth or key | OAuth or key |
| Pricing | Paid | Freemium |
| x402 | no | no |
| Licence | Proprietary service under Meteomatics' general terms and conditions. The Python connector on GitHub is MIT | Proprietary service under the General Conditions of Subscription Services of Vaisala Group. The OpenAPI files and the agent skills on GitHub are MIT |
| Tools exposed | 9 | 19 |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| MCP registry | not listed | `com.xweather/weather` |
| Last release | 2026-08-24 | 2026-09-14 |
| Terms last updated | no date given | couldn't be read |
| Privacy policy last updated | no date given | 2020-06-01 |
| Customer content may train models | not found in the text | couldn't be read |
| Terms restrict automated access | not found in the text | couldn't be read |
| Terms restrict benchmarking | not found in the text | couldn't be read |
| Terms or service can change without notice | not found in the text | couldn't be read |
| Arbitration or class-action waiver | not found in the text | couldn't be read |
| Popularity | 56 stars, 16k PyPI/wk | 0 stars, 1.4k npm/wk |

## 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.

**Xweather Weather API.** A public OpenAPI file with 236 operations, a hosted MCP server in the official registry and a free tier of 15,000 accesses a month suit agents. REST credentials travel only in the query string, per-minute limits are unpublished, and the group terms bar commercial use of free plans and passing data to third parties unless a service description allows it.

## 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

### Xweather Weather API

1. Check `success` and `error.code` on every response. Application errors such as `invalid_location` return HTTP 200 with `success` false
2. Send `fields`, `limit` and `plimit`. The docs put a 15-day hourly forecast at about 600 KB, and about 25 KB with three fields
3. Read `X-Cost-Tokens` after each call. Cost is the endpoint multiplier times the intervals requested, so narrow `from` and `to`
4. For MCP, send `Authorization: Bearer <client_id>_<client_secret>` and avoid the `api_key` query parameter, which puts the secret in the URL
5. Add `include_tags` or `include_tools` to the MCP URL to load only the tool groups the task needs
6. On 429 read `Retry-After` and the `X-RateLimit-Reset-*` headers. `maxhits_min` clears at the next minute, `maxhits` at the period reset

## Questions

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

Xweather Weather API scores 67.1 (B) on agent readiness against Meteomatics Weather API's 49.6 (D), and leads in 5 of 7 scored categories.

### Do Meteomatics Weather API and Xweather Weather API need an API key?

Both take an API key or an OAuth sign-in.

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

Yes. Meteomatics Weather API has a hosted endpoint at https://api.meteomatics.com and Xweather Weather API at https://data.api.xweather.com.


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/meteomatics-vs-xweather.json, and with the fewest tokens: https://www.anchorterminal.com/compare/meteomatics-vs-xweather.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "meteomatics", "b": "xweather"}`. From a terminal: `anchor compare meteomatics xweather`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/meteomatics.json and https://www.anchorterminal.com/api/v1/tools/xweather.json

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