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. - type: LLMsTxt url: https://developer.alpha-sense.com/llms.txt maintainers: - FN: Kin Lane email: kin@apievangelist.com