AlphaSense
AlphaSense is an AI-powered market intelligence and search platform used by hedge funds, banks, corporates, consulting firms, and law firms to accelerate research and decision-making. The platform unifies 500M+ public and private documents - SEC filings, broker research from 1,500+ firms, news, earnings call transcripts, internal company content, and 260,000+ Tegus expert call transcripts (Tegus was acquired in December 2023 for ~$930M) - behind a generative search and agent layer (GenSearch, Deep Research, Workflow Agents). The developer surface is gated, enterprise-only, and is split across two contracts: an Agent API for embedding GenSearch / Deep Research / MCP tools into customer AI agents, and a set of Utility APIs (Search, Brokers, Companies, Watchlist, Trends, User, Download, Ingestion) for direct programmatic access. Both are exposed over a single OAuth 2.0-protected GraphQL endpoint at https://api.alpha-sense.com/gql, with a companion REST Ingestion API for Enterprise Intelligence customers. AlphaSense Enterprise Intelligence Private Cloud ships with a public Go CLI (AlphaSense-Engineering/privatecloud-cli) for installing and validating the Kubernetes-hosted environment in a customer's own VPC.
Solid contracts, transparent operations, and an easy start — typically complete on four or five facets with one clear soft spot.
API Evangelist profiles AlphaSense the way a machine reads it — 91 machine-readable artifacts across 18 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 — AlphaSense scores 61.0/100 (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 AlphaSense
Each block below is one kind of artifact we hold for AlphaSense. 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 18
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.
AlphaSense Trends API
Time-series operations for theme, keyword, and topic frequency across the document corpus - the back end behind AlphaSense's Trend visualisations and competitive-intelligence da...
AlphaSense User API
User and account management operations covering profile, preferences, session, and entitlement metadata for integrating the AlphaSense experience into a host application or sing...
AlphaSense Download / Export API
Bulk export and download operations for documents, search results, and report PDFs - used to push AlphaSense content into downstream data warehouses, vaults, and BI tools.
AlphaSense MCP Server
Model Context Protocol surface that lets MCP-aware AI clients (Claude, Cursor, ChatGPT-style desktop hosts, in-house agent frameworks) call GenSearch, ThinkLonger, and Deep Rese...
AlphaSense Private Cloud CLI
Go-based CLI (AlphaSense-Engineering/privatecloud-cli, Apache-2.0-ish "Other" license) used by Enterprise Intelligence Private Cloud customers to bootstrap and validate the Kube...
AlphaSense Authentication API
OAuth 2.0 token exchange for the AlphaSense platform.
AlphaSense Brokers API
Broker research firm reference data (1,500+ firms).
AlphaSense Companies API
Company entity resolution and metadata.
AlphaSense Deep Research API
Long-horizon Deep Research agent invocations and progress polling.
AlphaSense Document Search API
GraphQL document search across the AlphaSense corpus.
AlphaSense Download API
Bulk document and report export.
AlphaSense GenSearch API
Generative-search mutations and conversation polling for AlphaSense GenSearch.
AlphaSense Ingestion API
Push customer-owned content into Enterprise Intelligence.
AlphaSense Search API
Document search across the AlphaSense corpus (500M+ documents).
AlphaSense Trends API
Keyword and theme frequency over time.
AlphaSense User API
User profile and entitlement operations.
AlphaSense Watchlist API
User watchlist CRUD operations.
AlphaSense Workflow Agents API
Pre-built and customer-defined workflow-agent invocations.
Scroll within the panel for all 18 ·
Open Collections 2
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).
AlphaSense Agent API
OPEN COLLECTIONAlphaSense Utility APIs
OPEN COLLECTIONGraphQL 1
Where a provider ships GraphQL, the schema is the contract. We profile it alongside the REST surface so the whole interface is legible in one place.
GraphQL schemas published by this provider.
AlphaSense GraphQL API
GraphQL surface for embedding AlphaSense intelligence into customer AI agents. Wraps GenSearch (auto / fast / thinkLonger / deepResearch modes), Workflow Agents (pre-built and c...
GRAPHQLPricing 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.
Alphasense 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.
Alphasense Finops
FINOPSFeatures 9
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.
Generative Search (GenSearch)
Multi-agent search-and-answer layer over 500M+ documents with auto, fast, ThinkLonger, and Deep Research reasoning modes.
Deep Research
Long-horizon agent that decomposes a research question, plans steps, searches across filings / transcripts / broker research / Tegus expert calls, and returns a markdown report ...
Workflow Agents
Pre-built and custom agents addressable by ID for repeatable research tasks (earnings prep, competitor scan, KOL mapping, etc.).
Tegus Expert Insights
260,000+ private expert-call transcripts, on-demand expert interviews, and the Tegus expert network - integrated into search and Deep Research after the December 2023 acquisition.
Enterprise Intelligence
Search the same generative layer over a customer's internal documents (decks, CRM, notes) alongside the external AlphaSense corpus.
Enterprise Intelligence Private Cloud
Customer-hosted Kubernetes deployment for regulated buyers; managed via the public privatecloud-cli.
Financial Data
Structured financial datasets, 4,000+ pre-built financial models, and analyst-grade fundamentals integrated with the search layer.
Smart Synonyms
Domain-tuned query expansion that maps tickers, business jargon, and industry terms to the right document language.
Inline Citations
Every GenSearch / Deep Research answer ships with traceable citations back to the underlying document, page, and span.
Scroll within the panel for all 9 ·
Semantic Vocabularies 1
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.
Alphasense 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.
AlphaSense API Rules
SPECTRALAlphaSense API Rules
SPECTRALJSON Schema 8
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.
Broker
JSON SCHEMACitation
JSON SCHEMACompany
JSON SCHEMADocument
JSON SCHEMAGenSearchConversation
JSON SCHEMAIngestionJob
JSON SCHEMAWatchlist
JSON SCHEMAWorkflowAgent
JSON SCHEMAScroll within the panel for all 8 ·
JSON Structure 8
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.
Alphasense Broker Structure
JSON STRUCTUREAlphasense Citation Structure
JSON STRUCTUREAlphasense Company Structure
JSON STRUCTUREAlphasense Document Structure
JSON STRUCTUREAlphasense Gensearch Conversation Structure
JSON STRUCTUREAlphasense Ingestion Job Structure
JSON STRUCTUREAlphasense Watchlist Structure
JSON STRUCTUREAlphasense Workflow Agent Structure
JSON STRUCTUREScroll within the panel for all 8 ·
Examples 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.
Alphasense Broker Example
EXAMPLEAlphasense Citation Example
EXAMPLEAlphasense Company Example
EXAMPLEAlphasense Document Example
EXAMPLEAlphasense Watchlist Example
EXAMPLEScroll within the panel for all 10 ·
Security Posture 3
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 9
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.
Sell-Side Investment Banking
Pitch prep, comparables analysis, M&A target screening, and earnings-call review for bankers.
Hedge Fund Research
Idea generation, thesis monitoring, and competitive tracking across public filings, broker research, and Tegus expert calls.
Private Equity Diligence
Industry primers, KOL identification, and management-quality assessment via expert interviews.
Asset Management
Coverage scaling for analysts who must monitor a long tail of names and themes.
Venture Capital
Market sizing, founder background, and category-comp scans for early-stage diligence.
Corporate Strategy & CI
Competitor surveillance, market-trend tracking, and board-pack preparation for in-house strategy teams.
Consulting Engagements
Engagement primers, hypothesis testing, and expert sourcing across McKinsey-style project workflows.
Law Firm Research
Litigation research, regulatory landscape mapping, and matter intelligence.
Agentic Research Automation
Programmatic GenSearch / Deep Research calls from customer-built agents over the Agent API or MCP server.
Scroll within the panel for all 9 ·
Integrations 9
Pre-built integrations with other platforms tell you where this provider already fits in a stack.
Pre-built integrations with other platforms and tools.
Snowflake
Push and query AlphaSense-derived content alongside the customer's warehouse via Enterprise Intelligence ingestion + export.
Microsoft 365 / SharePoint
Pull internal documents from SharePoint and Microsoft 365 into Enterprise Intelligence for unified search.
Tegus Expert Network
Native integration with Tegus's expert-call transcript library and on-demand expert services (post-acquisition).
BamSEC
SEC filing search and analytics (acquired) folded into the unified search index.
Canalyst
Pre-built financial models and equity datasets (acquired) used in financial analysis.
Sentieo
Document search and financial workflow (acquired) consolidated into the AlphaSense platform.
Cerebras Systems
2025 partnership accelerating inference for AlphaSense's generative-AI layer.
Model Context Protocol (MCP) Clients
Any MCP-aware host (Claude, Cursor, in-house agent frameworks) can call GenSearch / ThinkLonger / Deep Research as tools.
Kubernetes (Private Cloud)
Customer-managed Kubernetes (EKS / GKE / AKS) provisioned via the privatecloud-cli for regulated and air-gapped buyers.
Scroll within the panel for all 9 ·
Solutions 7
Packaged solutions the provider offers on top of the raw API surface.
Packaged solutions this provider offers.
AlphaSense Platform
Core SaaS search and intelligence product for the full customer base.
Enterprise Intelligence
Search + GenSearch across both AlphaSense's external corpus and the customer's internal documents.
Enterprise Intelligence Private Cloud
Same product, deployed into the customer's own Kubernetes cluster for compliance-bound buyers.
Tegus Expert Insights
Expert-call transcript library and on-demand expert services from the Tegus side of the business.
Tegus Expert Call Services
Concierge sourcing and scheduling of one-off expert interviews on behalf of the customer.
Generative Search Suite
GenSearch + Deep Research + Workflow Agents bundle aimed at AI-led research workflows.
Agent API + MCP
Embedding contract for customers building their own agents on top of the AlphaSense corpus.
Scroll within the panel for all 7 ·
Resources
Every other property we hold for AlphaSense — 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
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 2
MCP servers, agent skills, and machine-readable catalogs
Design & Contract 3
Pagination, idempotency, versioning, errors, and events
Build 1
SDKs, sample code, and the tooling you integrate with
Access & Security 5
Authentication, authorization, and security posture
Operate 2
Status, limits, changes, and where to get help
Commercial 2
Pricing, plans, and the legal terms of use
Company 2
The organization behind the API
← All providers · Data indexed from github.com/api-evangelist/alphasense · machine-readable index on apis.io