Wolfram|Alpha
Wolfram|Alpha is a computational knowledge engine that provides answers to natural language queries using a vast curated knowledge base and computational algorithms. The Wolfram|Alpha API suite gives developers programmatic access to computational intelligence for web, mobile, voice, and AI agent applications. APIs range from the full-featured Full Results API to specialized LLM, Short Answers, Simple, Spoken Results, Conversational, Fast Query Recognizer, Summary Boxes, and Instant Calculators APIs.
Solid contracts, transparent operations, and an easy start — typically complete on four or five facets with one clear soft spot.
API Evangelist profiles Wolfram|Alpha the way a machine reads it — 69 machine-readable artifacts across 2 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Wolfram|Alpha scores 64.0/100 (strong), with a separate agent-readiness read of 48/100 (agent ready). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Wolfram|Alpha
Each block below is one kind of artifact we hold for Wolfram|Alpha. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
APIs 2
Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.
Individual APIs this provider publishes, each with its own machine-readable definition.
Wolfram|Alpha Classification API
Classify and route natural language queries
Wolfram|Alpha Queries API
Submit natural language queries for full computational results
Postman Collections 6
A runnable collection turns the contract into something a developer can execute in seconds. We profile them because the fastest way to trust an API is to make a real call against it.
Ready-to-run Postman collections for exercising this provider's APIs.
Wolfram|Alpha LLM API
POSTMANWolfram|Alpha Simple API
POSTMANOpen Collections 6
Open, tool-agnostic collections carry the same runnable value as Postman without locking you to one client — the portable, forkable form of the same exercise.
Open, tool-agnostic API collections (OpenAPI-derived and Bruno).
Wolfram|Alpha Fast Query Recognizer API
OPEN COLLECTIONWolfram|Alpha Full Results API
OPEN COLLECTIONWolfram|Alpha LLM API
OPEN COLLECTIONWolfram|Alpha Short Answers API
OPEN COLLECTIONWolfram|Alpha Simple API
OPEN COLLECTIONWolfram|Alpha Spoken Results API
OPEN COLLECTIONArazzo Workflows 6
Real integrations are rarely a single call. Arazzo describes the multi-step sequences — auth, then create, then confirm — so both a human and an agent can follow the choreography, not just the endpoints.
Multi-step API workflows described with the Arazzo specification.
Wolfram|Alpha Answer with Visual
Get a concise text answer and a rendered image of the full result for the same query.
ARAZZOWolfram|Alpha Full Results to Specific Pod
Run a full query, then re-query to retrieve a single named pod in detail.
ARAZZOWolfram|Alpha LLM Conversational Query
Gate a conversational turn through the recognizer, then answer it with the LLM API.
ARAZZOWolfram|Alpha Query Recognizer Routing
Classify a query with the Fast Query Recognizer, then route accepted queries to Full Results.
ARAZZOWolfram|Alpha Short Answer with Detail Fallback
Get a concise short answer, falling back to full pod results when no short answer exists.
ARAZZOWolfram|Alpha Voice Assistant Answer
Get a spoken-word answer, falling back to a short text answer when none is available.
ARAZZOPricing Plans 1
Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the six things the Kin Score reads for commercial clarity.
Published pricing tiers and plan structures.
Rate Limits 1
Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.
Documented rate limits and quota policies.
Wolframalpha Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.
Cost, billing, and metering signals for API financial operations.
Wolframalpha Finops
FINOPSFeatures 7
The notable capabilities this provider advertises, captured as structured features so they can be searched and compared instead of read one landing page at a time.
Notable capabilities this provider offers.
Computational Intelligence
Access Wolfram's curated knowledge base and computation engine for math, science, geography, finance, and more.
Multiple Output Formats
Choose from XML, JSON, plain text, image, or audio output depending on your application needs.
LLM-Optimized Responses
Specialized API endpoint returns structured text formatted for large language model consumption.
Sub-10ms Query Classification
Fast Query Recognizer classifies queries before sending to the full engine, reducing latency and cost.
Location-Aware Queries
Pass IP, coordinates, or location names for geographically relevant results.
Conversational Multi-Turn Context
Conversational API maintains context across queries via conversation tokens.
Pod-Based Decomposition
Full Results API returns answer pods and subpods enabling fine-grained drilldown into computational results.
Scroll within the panel for all 7 ·
Semantic Vocabularies 4
JSON-LD contexts give the data shared meaning across APIs. We profile them because semantics are what let a machine reconcile 'customer' here with 'customer' somewhere else.
JSON-LD contexts and semantic vocabularies used across these APIs.
Wolframalpha Context
JSON-LDWolframalpha Llm Api Context
JSON-LDSpectral Rules 2
Governance rulesets we run against this provider's specs — the automated checks behind parts of the score. Profiling them makes the quality bar explicit and re-runnable, not a matter of opinion.
Wolfram|Alpha API Rules
SPECTRALWolfram|Alpha API Rules
SPECTRALJSON Schema 5
Standalone JSON Schema definitions describe the data models behind the API. We profile them so the shapes are validatable on their own — useful long after a single request is forgotten.
Standalone JSON Schema definitions for this provider's data models.
FullResultsResponse
JSON SCHEMALlmApiResponse
JSON SCHEMAPod
JSON SCHEMAQueryRecognizerResponse
JSON SCHEMASubpod
JSON SCHEMAJSON Structure 5
JSON Structure captures the data shapes in a form built for tooling — a complement to JSON Schema that keeps the model machine-legible.
JSON Structure definitions describing this provider's data shapes.
Wolframalpha Full Results Response Structure
JSON STRUCTUREWolframalpha Llm Api Response Structure
JSON STRUCTUREWolframalpha Pod Structure
JSON STRUCTUREWolframalpha Query Recognizer Response Structure
JSON STRUCTUREWolframalpha Subpod Structure
JSON STRUCTUREExamples 10
Real request and response payloads are what turn a spec from abstract into obvious — and they're one of the twelve things an agent needs to call an API correctly on the first try.
Example request and response payloads for these APIs.
Wolframalpha Pod Example
EXAMPLEWolframalpha Subpod Example
EXAMPLEScroll within the panel for all 10 ·
Security Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.
Recommended x-agentic-access execution contracts for AI agents.
Use Cases 6
What developers actually build with this provider — captured so the catalogue answers 'what is this for', not just 'what does this expose'.
What developers build with this provider.
AI Agent Integration
Provide LLMs and AI agents with computational knowledge results via the LLM API.
Chatbot Answers
Return concise answers to natural language questions in chatbot interfaces using the Short Answers API.
Voice Applications
Deliver audio-ready answer strings for voice assistants using the Spoken Results API.
Educational Platforms
Embed Wolfram computational results visually in learning platforms using the Simple API.
Search Augmentation
Pre-classify user queries with the Fast Query Recognizer to route to Wolfram only when appropriate.
Scientific Computing
Use the Full Results API to integrate symbolic computation, equation solving, and data analysis into scientific applications.
Integrations 4
Pre-built integrations with other platforms tell you where this provider already fits in a stack.
Pre-built integrations with other platforms and tools.
Wolfram Language / Mathematica
Wolfram Language and Mathematica integration for computational workflows.
OpenAI / ChatGPT Plugin
Official ChatGPT plugin uses Wolfram|Alpha for computational knowledge.
Siri / Voice Assistants
Spoken Results API is used by voice assistant integrations including Apple Siri.
Alexa Skills
Conversational and Spoken Results APIs power Amazon Alexa computational skills.
Resources
Every other property we hold for Wolfram|Alpha — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Get Started 3
Portal, sign-up, and the first successful call
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 9
Pagination, idempotency, versioning, errors, and events
Scroll within the panel for all 9 ·
Build 15
SDKs, sample code, and the tooling you integrate with
Scroll within the panel for all 15 ·
Access & Security 3
Authentication, authorization, and security posture
Operate 3
Status, limits, changes, and where to get help
Commercial 4
Pricing, plans, and the legal terms of use
Company 3
The organization behind the API
Other 1
Properties that don't map to a standard resource type
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