Infer a JSON Schema
API · /jsontypes-api
JSON Types API
Infer a schema or types from a sample JSON document — the fastest way to get a contract out of an example API response. Pass a JSON sample and the schema endpoint returns a JSON Schema (Draft 2020-12) with detected types, required keys, array item schemas merged across elements, and recognised string formats (email, uri, uuid, date-time, date, ipv4); the typescript endpoint returns ready-to-paste TypeScript interfaces with named nested interfaces, typed arrays, unions for mixed-shape array elements and structural de-duplication. Supply the sample inline via ?json=, as a query parameter, or as a request body. Everything is computed locally with no network calls, so it is fast and deterministic. Built for scaffolding types from real API responses, generating validation schemas, documentation, contract testing and code generation. A JSON type/schema inferer — distinct from JSON-Schema validation (jsonschema), JSON pretty-printing and conversion (json), and JSON diff/patch (jsondiff). No upstream key, no cache.
API health
healthy- Uptime
- 100.00%
- Server probes · 24h
- Avg latency
- 74 ms
- Server probes · 24h
- Subscribers
- 3,988
- active
- Total calls
- 57
- last 7 days
Pricing
Pick a tier — billed monthly, cancel anytime.
Free
Free
- 2,140 calls / month
- 2 requests / second
- Hard cap (429 above quota, no overage)
- 2,140 calls/month
- 2 req/sec
- Schema + TypeScript
- No credit card
Starter
€6.30 /month
- 41,500 calls / month
- 8 requests / second
- Hard cap (429 above quota, no overage)
- 41.5k calls/month
- 8 req/sec
- Formats + nested types
- Email support
Pro
€20.50 /month
- 218,000 calls / month
- 20 requests / second
- Hard cap (429 above quota, no overage)
- 218k calls/month
- 20 req/sec
- Codegen & contract pipelines
- Priority support
Mega
€53.40 /month
- 825,000 calls / month
- 50 requests / second
- Hard cap (429 above quota, no overage)
- 825k calls/month
- 50 req/sec
- Dev-platform scale
- Dedicated SLA
Built by
Related APIs
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Generate realistic mock data from a JSON Schema. Send any JSON Schema and get back data that conforms to it — honouring types, formats (email, uuid, date-time, uri, ipv4 and more), minimum/maximum, string length and patterns, enums, required fields, and nested objects and arrays. Ask for a single object or an array of up to 100. Add a "faker" keyword on a property (e.g. "faker":"person.fullName" or "commerce.product") to get specific realistic values powered by Faker. Unlike fixed-entity fake-data generators, the shape is entirely driven by your schema — perfect for API mocking, test fixtures, database seeding, prototyping and contract testing. Pure local generation — no key, no third-party service, instant. Live. 2 endpoints. Distinct from JSON Schema validation and from canned mock-data entities.
api.oanor.com/schemamock-api
Programming Languages API
The language definitions GitHub uses to recognise code (the open-source Linguist data) as an API — a clean reference for syntax highlighting, file-type detection, repository dashboards and developer tooling. For each of 800+ languages the API returns its type (programming, markup, data or prose), its brand colour (the hex GitHub paints it), the file extensions associated with it, common aliases, the GitHub language id and the editor (ace) mode. Look a language up by name or alias (golang resolves to Go), reverse-look-up which language(s) own a file extension (.py → Python; .h → C, C++, Objective-C), list the languages of a type, search, or list them all. Distinct from languages-api (ISO 639 human languages) — this is the programming-language reference. Served from memory — always fast.
api.oanor.com/proglang-api
MIME Types API
The canonical MIME / media-type database (the jshttp mime-db used by Express and most of the Node ecosystem: IANA + Apache + nginx), served from memory — no key. Resolve a media type to its file extensions, charset and compressibility; reverse-lookup the media type(s) for a file extension (e.g. png → image/png); and search or list types by source. 2,600+ media types, 1,000+ with file extensions. Lean, predictable JSON. Ideal for upload validation, Content-Type resolution, file-type detection, download handlers and developer tooling.
api.oanor.com/mimetypes-api
MusicBrainz API
The open music-metadata database as an API — artists, release-groups (albums), releases, recordings and labels, identified by stable MusicBrainz IDs (MBIDs), returned as clean JSON. Search any entity by name or Lucene query; look up an artist with their external links and tags, an album, a release with its full track list, a recording with its ISRCs, or a label; and browse an artist's complete discography. Live data with MBIDs, disambiguations, types, countries, life spans, ISRCs, barcodes, catalogue numbers and relations — the canonical identifiers that link and de-duplicate music data across services. Ideal for metadata enrichment and matching, music catalogues, tagging and library tools, and research. 11 data endpoints. Authenticated with an x-oanor-key; fair-use rate limits per plan.
api.oanor.com/musicbrainz-api
Frequently asked questions
Quick answers about pricing, quotas, and integration.
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Code snippets
Sign up to get an API key, then call any path under your slug.
curl https://api.oanor.com/jsontypes-api/SOME_PATH \
-H "x-oanor-key: oanor_test_..."
const res = await fetch("https://api.oanor.com/jsontypes-api/SOME_PATH", {
headers: { "x-oanor-key": "oanor_test_..." }
});
const data = await res.json();
$ch = curl_init("https://api.oanor.com/jsontypes-api/SOME_PATH");
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_HTTPHEADER, ["x-oanor-key: oanor_test_..."]);
$response = curl_exec($ch);
import requests
r = requests.get(
"https://api.oanor.com/jsontypes-api/SOME_PATH",
headers={"x-oanor-key": "oanor_test_..."},
)
print(r.json())
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