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-productions.s3.amazonaws.com/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: NaftikoCapability
        url: capabilities/agent-api-gensearch.yaml
      - type: NaftikoCapability
        url: capabilities/agent-api-deep-research.yaml
      - type: NaftikoCapability
        url: capabilities/agent-api-workflow-agents.yaml
      - 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
  - 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: NaftikoCapability
        url: capabilities/utility-api-search.yaml
      - 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: NaftikoCapability
        url: capabilities/utility-api-ingestion.yaml
      - 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: NaftikoCapability
        url: capabilities/utility-api-companies.yaml
      - 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: NaftikoCapability
        url: capabilities/utility-api-watchlist.yaml
      - 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: NaftikoCapability
        url: capabilities/agent-api-authentication.yaml
      - 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.
maintainers:
  - FN: Kin Lane
    email: [email protected]