AlphaSense

aid: alphasense
url: https://raw.githubusercontent.com/api-evangelist/alphasense/refs/heads/main/apis.yml
name: AlphaSense
kind: company
description: >-
  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.
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
tags:
- Market Intelligence
- Financial Research
- Search
- Generative AI
- AI Agents
- Expert Calls
- Document Intelligence
- Enterprise Intelligence
- MCP
- GraphQL
created: '2026-05-23'
modified: '2026-05-23'
specificationVersion: '0.19'
apis:
- aid: alphasense:agent-api
  name: AlphaSense Agent API
  description: >-
    GraphQL surface for embedding AlphaSense intelligence into customer AI agents. Wraps GenSearch (auto / fast /
    thinkLonger / deepResearch modes), Workflow Agents (pre-built and custom), and the Document Search API behind a
    single OAuth 2.0 + API-key-protected /gql endpoint. Returns markdown-formatted answers with inline citations to
    the underlying AlphaSense source documents (filings, transcripts, broker research, Tegus calls). Designed for
    agentic workflows that need first-result in under five minutes.
  humanURL: https://developer.alpha-sense.com/agent-api/quickstart
  baseURL: https://api.alpha-sense.com
  tags:
  - GraphQL
  - Generative AI
  - Agents
  - GenSearch
  - Deep Research
  properties:
  - type: Documentation
    url: https://developer.alpha-sense.com/agent-api/quickstart
  - type: Authentication
    url: https://developer.alpha-sense.com/api/getting-started
  - type: OpenAPI
    url: openapi/alphasense-agent-api-openapi.yml
  - type: JSONSchema
    url: json-schema/alphasense-gensearch-conversation-schema.json
  - type: JSONSchema
    url: json-schema/alphasense-citation-schema.json
  - type: JSONSchema
    url: json-schema/alphasense-workflow-agent-schema.json
  - type: JSONStructure
    url: json-structure/alphasense-gensearch-conversation-structure.json
  - type: JSONStructure
    url: json-structure/alphasense-citation-structure.json
  - type: JSONStructure
    url: json-structure/alphasense-workflow-agent-structure.json
  - type: Example
    url: examples/alphasense-gensearch-conversation-example.json
  - type: Example
    url: examples/alphasense-citation-example.json
  - type: Example
    url: examples/alphasense-workflow-agent-example.json
  - url: graphql/alphasense-graphql.md
    type: GraphQL
- aid: alphasense:search-api
  name: AlphaSense Search API
  description: >-
    GraphQL search over the full AlphaSense content library (500M+ documents spanning SEC filings, broker research
    from 1,500+ firms, news, earnings call transcripts, and Tegus expert interviews). Supports keyword and semantic
    filters, date presets, document-type filters, watchlists, and smart synonyms. Operates against the same
    OAuth-protected /gql endpoint as the Agent API. Used to drive in-app search and retrieval flows that do not need
    agentic answer synthesis.
  humanURL: https://developer.alpha-sense.com/api/getting-started
  baseURL: https://api.alpha-sense.com
  tags:
  - GraphQL
  - Search
  - Documents
  - Retrieval
  properties:
  - type: Documentation
    url: https://developer.alpha-sense.com/api/getting-started
  - type: OpenAPI
    url: openapi/alphasense-utility-api-openapi.yml
  - type: JSONSchema
    url: json-schema/alphasense-document-schema.json
  - type: JSONStructure
    url: json-structure/alphasense-document-structure.json
  - type: Example
    url: examples/alphasense-document-example.json
  - type: Example
    url: examples/alphasense-tegus-document-example.json
- aid: alphasense:ingestion-api
  name: AlphaSense Ingestion API
  description: >-
    REST surface (`/services/i/ingestion-api/v1/...`) used by Enterprise Intelligence customers to push their own
    internal documents - research notes, board decks, CRM exports, meeting transcripts - into AlphaSense so the same
    GenSearch and Deep Research layer can answer over external market intelligence and internal company content
    together. Available on SaaS (https://api.alpha-sense.com) and Private Cloud (customer-hosted domain) deployments.
  humanURL: https://developer.alpha-sense.com/api/getting-started
  baseURL: https://api.alpha-sense.com
  tags:
  - REST
  - Ingestion
  - Enterprise Intelligence
  - Internal Content
  properties:
  - type: Documentation
    url: https://developer.alpha-sense.com/api/getting-started
  - type: OpenAPI
    url: openapi/alphasense-utility-api-openapi.yml
  - type: JSONSchema
    url: json-schema/alphasense-ingestion-job-schema.json
  - type: JSONStructure
    url: json-structure/alphasense-ingestion-job-structure.json
  - type: Example
    url: examples/alphasense-ingestion-job-example.json
- aid: alphasense:companies-api
  name: AlphaSense Companies API
  description: >-
    GraphQL operations for resolving and enriching companies in the AlphaSense entity graph - ticker / name / CIK /
    ISIN lookup, parent / subsidiary relationships, sector and industry tagging, and references that join into Search
    and GenSearch filters.
  humanURL: https://developer.alpha-sense.com/api/getting-started
  baseURL: https://api.alpha-sense.com
  tags:
  - Companies
  - Entities
  - Reference Data
  properties:
  - type: Documentation
    url: https://developer.alpha-sense.com/api/getting-started
  - type: OpenAPI
    url: openapi/alphasense-utility-api-openapi.yml
  - type: JSONSchema
    url: json-schema/alphasense-company-schema.json
  - type: JSONStructure
    url: json-structure/alphasense-company-structure.json
  - type: Example
    url: examples/alphasense-company-example.json
- aid: alphasense:brokers-api
  name: AlphaSense Brokers API
  description: >-
    Lookup and metadata for the 1,500+ broker research firms whose content AlphaSense licenses. Resolves broker
    identifiers used by the Search API and exposes coverage signals for analysts filtering by source.
  humanURL: https://developer.alpha-sense.com/api/getting-started
  baseURL: https://api.alpha-sense.com
  tags:
  - Brokers
  - Research
  - Reference Data
  properties:
  - type: Documentation
    url: https://developer.alpha-sense.com/api/getting-started
  - type: OpenAPI
    url: openapi/alphasense-utility-api-openapi.yml
  - type: JSONSchema
    url: json-schema/alphasense-broker-schema.json
  - type: JSONStructure
    url: json-structure/alphasense-broker-structure.json
  - type: Example
    url: examples/alphasense-broker-example.json
- aid: alphasense:watchlist-api
  name: AlphaSense Watchlist API
  description: >-
    Create, read, update, and delete user watchlists - persisted bundles of companies, tickers, and saved searches
    that drive personalized alerts, digests, and re-ranked Search results.
  humanURL: https://developer.alpha-sense.com/api/getting-started
  baseURL: https://api.alpha-sense.com
  tags:
  - Watchlists
  - Personalization
  - Alerts
  properties:
  - type: Documentation
    url: https://developer.alpha-sense.com/api/getting-started
  - type: OpenAPI
    url: openapi/alphasense-utility-api-openapi.yml
  - type: JSONSchema
    url: json-schema/alphasense-watchlist-schema.json
  - type: JSONStructure
    url: json-structure/alphasense-watchlist-structure.json
  - type: Example
    url: examples/alphasense-watchlist-example.json
- aid: alphasense:trends-api
  name: AlphaSense Trends API
  description: >-
    Time-series operations for theme, keyword, and topic frequency across the document corpus - the back end behind
    AlphaSense's Trend visualisations and competitive-intelligence dashboards.
  humanURL: https://developer.alpha-sense.com/api/getting-started
  baseURL: https://api.alpha-sense.com
  tags:
  - Trends
  - Analytics
  - Time Series
  properties:
  - type: Documentation
    url: https://developer.alpha-sense.com/api/getting-started
- aid: alphasense:user-api
  name: AlphaSense User API
  description: >-
    User and account management operations covering profile, preferences, session, and entitlement metadata for
    integrating the AlphaSense experience into a host application or single-sign-on flow.
  humanURL: https://developer.alpha-sense.com/api/getting-started
  baseURL: https://api.alpha-sense.com
  tags:
  - Users
  - Accounts
  - Identity
  properties:
  - type: Documentation
    url: https://developer.alpha-sense.com/api/getting-started
- aid: alphasense:download-api
  name: AlphaSense Download / Export API
  description: >-
    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.
  humanURL: https://developer.alpha-sense.com/api/getting-started
  baseURL: https://api.alpha-sense.com
  tags:
  - Downloads
  - Export
  - Bulk
  properties:
  - type: Documentation
    url: https://developer.alpha-sense.com/api/getting-started
- aid: alphasense:authentication-api
  name: AlphaSense Authentication API
  description: >-
    OAuth 2.0 password-grant token endpoint at POST /auth. Clients submit email, password, client_id, and
    client_secret together with an x-api-key header to receive a bearer token used on every subsequent Agent or
    Utility API call. The same flow works against SaaS (https://api.alpha-sense.com) and Private Cloud
    (https://{your-domain}/) base URLs.
  humanURL: https://developer.alpha-sense.com/api/getting-started
  baseURL: https://api.alpha-sense.com
  tags:
  - Authentication
  - OAuth 2.0
  - Token
  properties:
  - type: Documentation
    url: https://developer.alpha-sense.com/api/getting-started
  - type: OpenAPI
    url: openapi/alphasense-agent-api-openapi.yml
  - type: Example
    url: examples/alphasense-auth-token-example.json
- aid: alphasense:mcp-server
  name: AlphaSense MCP Server
  description: >-
    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 Research as tools without writing a bespoke
    GraphQL integration. The MCP server brokers the OAuth flow and enforces the customer's Agent API entitlement.
  humanURL: https://developer.alpha-sense.com/agent-api/quickstart
  baseURL: https://api.alpha-sense.com
  tags:
  - MCP
  - Model Context Protocol
  - Agents
  - Tools
  properties:
  - type: Documentation
    url: https://developer.alpha-sense.com/agent-api/quickstart
- aid: alphasense:privatecloud-cli
  name: AlphaSense Private Cloud CLI
  description: >-
    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 Kubernetes cluster that hosts AlphaSense inside
    their own cloud account. Ships `check` and `install` commands that lay down Crossplane and platform namespaces,
    generate the required ServiceAccounts, Roles, ClusterRoles, and Pods, and reconcile against per-version
    compatibility matrices.
  humanURL: https://github.com/AlphaSense-Engineering/privatecloud-cli
  baseURL: https://github.com/AlphaSense-Engineering/privatecloud-cli
  tags:
  - CLI
  - Private Cloud
  - Kubernetes
  - Enterprise Intelligence
  properties:
  - type: GitHubRepository
    url: https://github.com/AlphaSense-Engineering/privatecloud-cli
  - type: ReleaseNotes
    url: https://github.com/AlphaSense-Engineering/privatecloud-cli/releases
common:
- type: Website
  url: https://www.alpha-sense.com/
- type: DeveloperPortal
  url: https://developer.alpha-sense.com/
- type: Documentation
  url: https://developer.alpha-sense.com/
- type: GettingStarted
  url: https://developer.alpha-sense.com/api/getting-started
- type: Quickstart
  url: https://developer.alpha-sense.com/agent-api/quickstart
- type: Authentication
  url: https://developer.alpha-sense.com/api/getting-started
- type: GitHubOrganization
  url: https://github.com/AlphaSense-Engineering
- type: TrustCenter
  url: https://trust.alpha-sense.com/
- type: Support
  url: https://help.alpha-sense.com/
- type: LinkedIn
  url: https://www.linkedin.com/company/alphasense
- type: Plans
  url: plans/alphasense-plans-pricing.yml
- type: RateLimits
  url: rate-limits/alphasense-rate-limits.yml
- type: FinOps
  url: finops/alphasense-finops.yml
- type: SpectralRules
  url: rules/alphasense-rules.yml
- type: Vocabulary
  url: vocabulary/alphasense-vocabulary.yml
- type: JSONLD
  url: json-ld/alphasense-context.jsonld
- type: Features
  data:
  - name: Generative Search (GenSearch)
    description: >-
      Multi-agent search-and-answer layer over 500M+ documents with auto, fast, ThinkLonger, and Deep Research
      reasoning modes.
  - name: Deep Research
    description: >-
      Long-horizon agent that decomposes a research question, plans steps, searches across filings / transcripts /
      broker research / Tegus expert calls, and returns a markdown report with inline citations.
  - name: Workflow Agents
    description: >-
      Pre-built and custom agents addressable by ID for repeatable research tasks (earnings prep, competitor scan,
      KOL mapping, etc.).
  - name: Tegus Expert Insights
    description: >-
      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.
  - name: Enterprise Intelligence
    description: >-
      Search the same generative layer over a customer's internal documents (decks, CRM, notes) alongside the
      external AlphaSense corpus.
  - name: Enterprise Intelligence Private Cloud
    description: Customer-hosted Kubernetes deployment for regulated buyers; managed via the public privatecloud-cli.
  - name: Financial Data
    description: >-
      Structured financial datasets, 4,000+ pre-built financial models, and analyst-grade fundamentals integrated
      with the search layer.
  - name: Smart Synonyms
    description: >-
      Domain-tuned query expansion that maps tickers, business jargon, and industry terms to the right document
      language.
  - name: Inline Citations
    description: >-
      Every GenSearch / Deep Research answer ships with traceable citations back to the underlying document, page,
      and span.
- type: UseCases
  data:
  - name: Sell-Side Investment Banking
    description: Pitch prep, comparables analysis, M&A target screening, and earnings-call review for bankers.
  - name: Hedge Fund Research
    description: >-
      Idea generation, thesis monitoring, and competitive tracking across public filings, broker research, and Tegus
      expert calls.
  - name: Private Equity Diligence
    description: Industry primers, KOL identification, and management-quality assessment via expert interviews.
  - name: Asset Management
    description: Coverage scaling for analysts who must monitor a long tail of names and themes.
  - name: Venture Capital
    description: Market sizing, founder background, and category-comp scans for early-stage diligence.
  - name: Corporate Strategy & CI
    description: Competitor surveillance, market-trend tracking, and board-pack preparation for in-house strategy teams.
  - name: Consulting Engagements
    description: Engagement primers, hypothesis testing, and expert sourcing across McKinsey-style project workflows.
  - name: Law Firm Research
    description: Litigation research, regulatory landscape mapping, and matter intelligence.
  - name: Agentic Research Automation
    description: Programmatic GenSearch / Deep Research calls from customer-built agents over the Agent API or MCP server.
- type: Integrations
  data:
  - name: Snowflake
    description: >-
      Push and query AlphaSense-derived content alongside the customer's warehouse via Enterprise Intelligence
      ingestion + export.
  - name: Microsoft 365 / SharePoint
    description: Pull internal documents from SharePoint and Microsoft 365 into Enterprise Intelligence for unified search.
  - name: Tegus Expert Network
    description: >-
      Native integration with Tegus's expert-call transcript library and on-demand expert services
      (post-acquisition).
  - name: BamSEC
    description: SEC filing search and analytics (acquired) folded into the unified search index.
  - name: Canalyst
    description: Pre-built financial models and equity datasets (acquired) used in financial analysis.
  - name: Sentieo
    description: Document search and financial workflow (acquired) consolidated into the AlphaSense platform.
  - name: Cerebras Systems
    description: 2025 partnership accelerating inference for AlphaSense's generative-AI layer.
  - name: Model Context Protocol (MCP) Clients
    description: >-
      Any MCP-aware host (Claude, Cursor, in-house agent frameworks) can call GenSearch / ThinkLonger / Deep
      Research as tools.
  - name: Kubernetes (Private Cloud)
    description: >-
      Customer-managed Kubernetes (EKS / GKE / AKS) provisioned via the privatecloud-cli for regulated and
      air-gapped buyers.
- type: Solutions
  data:
  - name: AlphaSense Platform
    description: Core SaaS search and intelligence product for the full customer base.
  - name: Enterprise Intelligence
    description: Search + GenSearch across both AlphaSense's external corpus and the customer's internal documents.
  - name: Enterprise Intelligence Private Cloud
    description: Same product, deployed into the customer's own Kubernetes cluster for compliance-bound buyers.
  - name: Tegus Expert Insights
    description: Expert-call transcript library and on-demand expert services from the Tegus side of the business.
  - name: Tegus Expert Call Services
    description: Concierge sourcing and scheduling of one-off expert interviews on behalf of the customer.
  - name: Generative Search Suite
    description: GenSearch + Deep Research + Workflow Agents bundle aimed at AI-led research workflows.
  - name: Agent API + MCP
    description: Embedding contract for customers building their own agents on top of the AlphaSense corpus.
- type: LLMsTxt
  url: https://developer.alpha-sense.com/llms.txt
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com