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.

AlphaSense publishes 4 APIs on the APIs.io network, including Authentication API, GenSearch API, Ingestion API, and 1 more. Tagged areas include Market Intelligence, Financial Research, Search, Generative AI, and AI Agents.

The AlphaSense catalog on APIs.io includes 1 JSON-LD context and 2 Spectral governance rulesets.

AlphaSense’s developer surface includes authentication, documentation, getting-started guide, support, and 19 more developer resources.

🌐 Visit website 📡 Source on GitHub

53.3/100 developing ▬ flat Agent 21/100 agent aware Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0

AccessPaid

2 APIs 9 Features 9 Use Cases

Market Intelligence Financial Research Search Generative AI AI AgentsExpert CallsDocument IntelligenceEnterprise IntelligenceMCP GraphQL

Kin Score

Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0

Composite quality — 53.3/100 · developing

Contract Quality 15.9 / 23

Developer Ergonomics 8.8 / 18

Access Clarity 8.5 / 18

Operational Transparency 5.9 / 12

Contract Governance 2.7 / 11

Discoverability 6.8 / 9

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 21/100 · agent aware

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 7 / 7

Rate-Limit Signaling 7 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Create-or-Update Ergonomics applies to this provider. This API accepts writes, so it carries 10 points of the composite. It is scored from the published contracts themselves: whether a caller can create-or-update in one call, whether the write accepts a key the caller already holds, and whether the response says which branch ran. Without that, every write needs a search-and-branch in front of it, and the first time that check is skipped a duplicate record is created. Scored against the observed mean rather than raw — a provider at the catalog average is unchanged by this facet, not penalised by it.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from github.com/api-evangelist/alphasense: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

APIs 9

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 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).

POSTMAN

GraphQL 1

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...

GRAPHQL

Pricing Plans 1

Published pricing tiers and plan structures.

Alphasense Plans Pricing

6 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Alphasense Rate Limits

4 limits

RATE LIMITS

FinOps 1

Cost, billing, and metering signals for API financial operations.

Alphasense Finops

FINOPS

Features 9

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 for all 9

Semantic Vocabularies 1

JSON-LD contexts and semantic vocabularies used across these APIs.

Alphasense Context

0 classes · 8 properties

JSON-LD

Spectral Rules 2

Spectral governance rulesets for linting and validating these APIs.

AlphaSense API Rules

5 rules · 3 warnings 2 info

SPECTRAL

AlphaSense API Rules

17 rules · 6 errors 8 warnings 3 info

SPECTRAL

JSON Schema 8

Standalone JSON Schema definitions for this provider's data models.

Broker

3 fields

EXAMPLE

Alphasense Workflow Agent Example

5 fields

EXAMPLE

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Security Posture 3

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Alphasense Authentication

apiKey/http · 2 schemes

SECURITY

Alphasense Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Alphasense Trust Center

SOC 2, ISO 27001

SECURITY

Agentic Access 1

Recommended x-agentic-access execution contracts for AI agents.

Alphasense Agentic Access

5 operations · 4 acting

AGENTIC

Use Cases 9

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.

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Integrations 9

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 for all 9

Solutions 7

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 for all 7

Resources

Get Started 3

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

GettingStarted

GettingStarted

GettingStarted

GettingStarted

Documentation 2

Reference material describing how the API behaves

ContributionGuide

ContributionGuide

Documentation

Documentation

Agent Surfaces 2

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess

AgenticAccess

LlmsText

LlmsText

Design & Contract 3

Pagination, idempotency, versioning, errors, and events

SpectralRules

SpectralRules

Vocabulary

Vocabulary

JSONLD

JSONLD

Build 2

SDKs, sample code, and the tooling you integrate with

PostmanWorkspace

PostmanWorkspace

GitHubOrganization

GitHubOrganization

Access & Security 5

Authentication, authorization, and security posture

TrustCenter

DomainSecurity

Authentication

Authentication

TrustCenter

Operate 2

Status, limits, changes, and where to get help

Support

Support

RateLimits

RateLimits

Commercial 2

Pricing, plans, and the legal terms of use

Plans

Plans

FinOps

FinOps

Company 2

The organization behind the API

Website

Website

LinkedIn

Source (apis.yml)

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.'
deliveryModel:
  model: unknown
  open_source: unknown
  commercial: true
  callable_host: true
  label: Delivery model not determined — needs a product licence on record
  confidence: low
  source:
  - openapi
  - pricing
  - repository-unlicensed
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: paid
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Paid
  confidence: medium
  source:
  - plans
  - authentication
  - security
  generated: '2026-09-03'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/alphasense.png
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: '0.23'
apis:
- 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:
  - User
  - Account
  - Identity
  tags_raw:
  - 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: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
  - Agents
  - Tools
  tags_raw:
  - 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
- aid: alphasense:alphasense-authentication-api
  name: AlphaSense Authentication API
  description: OAuth 2.0 token exchange for the AlphaSense platform.
  humanURL: https://developer.alpha-sense.com/agent-api/quickstart
  baseURL: https://api.alpha-sense.com
  tags:
  - Authentication
  properties:
  - type: OpenAPI
    url: openapi/alphasense-authentication-api-openapi.yml
  - type: Documentation
    url: https://developer.alpha-sense.com/agent-api/quickstart
  - type: Authentication
    url: https://developer.alpha-sense.com/api/getting-started
  - 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: Examples
    url: examples/alphasense-gensearch-conversation-example.json
  - type: Examples
    url: examples/alphasense-citation-example.json
  - type: Examples
    url: examples/alphasense-workflow-agent-example.json
  - type: GraphQL
    url: graphql/alphasense-graphql.md
  - type: Documentation
    url: https://developer.alpha-sense.com/api/getting-started
  - type: JSONSchema
    url: json-schema/alphasense-document-schema.json
  - type: JSONStructure
    url: json-structure/alphasense-document-structure.json
  - type: Examples
    url: examples/alphasense-document-example.json
  - type: Examples
    url: examples/alphasense-tegus-document-example.json
  - type: JSONSchema
    url: json-schema/alphasense-ingestion-job-schema.json
  - type: JSONStructure
    url: json-structure/alphasense-ingestion-job-structure.json
  - type: Examples
    url: examples/alphasense-ingestion-job-example.json
  - type: JSONSchema
    url: json-schema/alphasense-company-schema.json
  - type: JSONStructure
    url: json-structure/alphasense-company-structure.json
  - type: Examples
    url: examples/alphasense-company-example.json
  - type: JSONSchema
    url: json-schema/alphasense-broker-schema.json
  - type: JSONStructure
    url: json-structure/alphasense-broker-structure.json
  - type: Examples
    url: examples/alphasense-broker-example.json
  - type: JSONSchema
    url: json-schema/alphasense-watchlist-schema.json
  - type: JSONStructure
    url: json-structure/alphasense-watchlist-structure.json
  - type: Examples
    url: examples/alphasense-watchlist-example.json
  - type: Examples
    url: examples/alphasense-auth-token-example.json
- aid: alphasense:alphasense-gensearch-api
  name: AlphaSense GenSearch API
  description: Generative-search mutations and conversation polling for AlphaSense GenSearch.
  humanURL: https://developer.alpha-sense.com/agent-api/quickstart
  baseURL: https://api.alpha-sense.com
  tags:
  - GenSearch
  properties:
  - type: OpenAPI
    url: openapi/alphasense-gensearch-api-openapi.yml
  - type: Documentation
    url: https://developer.alpha-sense.com/agent-api/quickstart
  - type: Authentication
    url: https://developer.alpha-sense.com/api/getting-started
  - 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: Examples
    url: examples/alphasense-gensearch-conversation-example.json
  - type: Examples
    url: examples/alphasense-citation-example.json
  - type: Examples
    url: examples/alphasense-workflow-agent-example.json
  - type: GraphQL
    url: graphql/alphasense-graphql.md
  - type: Documentation
    url: https://developer.alpha-sense.com/api/getting-started
  - type: JSONSchema
    url: json-schema/alphasense-document-schema.json
  - type: JSONStructure
    url: json-structure/alphasense-document-structure.json
  - type: Examples
    url: examples/alphasense-document-example.json
  - type: Examples
    url: examples/alphasense-tegus-document-example.json
  - type: JSONSchema
    url: json-schema/alphasense-ingestion-job-schema.json
  - type: JSONStructure
    url: json-structure/alphasense-ingestion-job-structure.json
  - type: Examples
    url: examples/alphasense-ingestion-job-example.json
  - type: JSONSchema
    url: json-schema/alphasense-company-schema.json
  - type: JSONStructure
    url: json-structure/alphasense-company-structure.json
  - type: Examples
    url: examples/alphasense-company-example.json
  - type: JSONSchema
    url: json-schema/alphasense-broker-schema.json
  - type: JSONStructure
    url: json-structure/alphasense-broker-structure.json
  - type: Examples
    url: examples/alphasense-broker-example.json
  - type: JSONSchema
    url: json-schema/alphasense-watchlist-schema.json
  - type: JSONStructure
    url: json-structure/alphasense-watchlist-structure.json
  - type: Examples
    url: examples/alphasense-watchlist-example.json
  - type: Examples
    url: examples/alphasense-auth-token-example.json
- aid: alphasense:alphasense-ingestion-api
  name: AlphaSense Ingestion API
  description: Push customer-owned content into Enterprise Intelligence.
  humanURL: https://developer.alpha-sense.com/agent-api/quickstart
  baseURL: https://api.alpha-sense.com
  tags:
  - Ingestion
  properties:
  - type: OpenAPI
    url: openapi/alphasense-ingestion-api-openapi.yml
  - type: Documentation
    url: https://developer.alpha-sense.com/agent-api/quickstart
  - type: Authentication
    url: https://developer.alpha-sense.com/api/getting-started
  - 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: Examples
    url: examples/alphasense-gensearch-conversation-example.json
  - type: Examples
    url: examples/alphasense-citation-example.json
  - type: Examples
    url: examples/alphasense-workflow-agent-example.json
  - type: GraphQL
    url: graphql/alphasense-graphql.md
  - type: Documentation
    url: https://developer.alpha-sense.com/api/getting-started
  - type: JSONSchema
    url: json-schema/alphasense-document-schema.json
  - type: JSONStructure
    url: json-structure/alphasense-document-structure.json
  - type: Examples
    url: examples/alphasense-document-example.json
  - type: Examples
    url: examples/alphasense-tegus-document-example.json
  - type: JSONSchema
    url: json-schema/alphasense-ingestion-job-schema.json
  - type: JSONStructure
    url: json-structure/alphasense-ingestion-job-structure.json
  - type: Examples
    url: examples/alphasense-ingestion-job-example.json
  - type: JSONSchema
    url: json-schema/alphasense-company-schema.json
  - type: JSONStructure
    url: json-structure/alphasense-company-structure.json
  - type: Examples
    url: examples/alphasense-company-example.json
  - type: JSONSchema
    url: json-schema/alphasense-broker-schema.json
  - type: JSONStructure
    url: json-structure/alphasense-broker-structure.json
  - type: Examples
    url: examples/alphasense-broker-example.json
  - type: JSONSchema
    url: json-schema/alphasense-watchlist-schema.json
  - type: JSONStructure
    url: json-structure/alphasense-watchlist-structure.json
  - type: Examples
    url: examples/alphasense-watchlist-example.json
  - type: Examples
    url: examples/alphasense-auth-token-example.json
- aid: alphasense:alphasense-search-api
  name: AlphaSense Search API
  description: Document search across the AlphaSense corpus (500M+ documents).
  humanURL: https://developer.alpha-sense.com/agent-api/quickstart
  baseURL: https://api.alpha-sense.com
  tags:
  - Search
  properties:
  - type: OpenAPI
    url: openapi/alphasense-search-api-openapi.yml
  - type: Documentation
    url: https://developer.alpha-sense.com/agent-api/quickstart
  - type: Authentication
    url: https://developer.alpha-sense.com/api/getting-started
  - 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: Examples
    url: examples/alphasense-gensearch-conversation-example.json
  - type: Examples
    url: examples/alphasense-citation-example.json
  - type: Examples
    url: examples/alphasense-workflow-agent-example.json
  - type: GraphQL
    url: graphql/alphasense-graphql.md
  - type: Documentation
    url: https://developer.alpha-sense.com/api/getting-started
  - type: JSONSchema
    url: json-schema/alphasense-document-schema.json
  - type: JSONStructure
    url: json-structure/alphasense-document-structure.json
  - type: Examples
    url: examples/alphasense-document-example.json
  - type: Examples
    url: examples/alphasense-tegus-document-example.json
  - type: JSONSchema
    url: json-schema/alphasense-ingestion-job-schema.json
  - type: JSONStructure
    url: json-structure/alphasense-ingestion-job-structure.json
  - type: Examples
    url: examples/alphasense-ingestion-job-example.json
  - type: JSONSchema
    url: json-schema/alphasense-company-schema.json
  - type: JSONStructure
    url: json-structure/alphasense-company-structure.json
  - type: Examples
    url: examples/alphasense-company-example.json
  - type: JSONSchema
    url: json-schema/alphasense-broker-schema.json
  - type: JSONStructure
    url: json-structure/alphasense-broker-structure.json
  - type: Examples
    url: examples/alphasense-broker-example.json
  - type: JSONSchema
    url: json-schema/alphasense-watchlist-schema.json
  - type: JSONStructure
    url: json-structure/alphasense-watchlist-structure.json
  - type: Examples
    url: examples/alphasense-watchlist-example.json
  - type: Examples
    url: examples/alphasense-auth-token-example.json
common:
- type: ContributionGuide
  url: https://github.com/AlphaSense-Engineering/privatecloud-cli/blob/main/CONTRIBUTING.md
- type: PostmanWorkspace
  url: https://www.postman.com/kinlaneapi/alphasense/overview
- type: AgenticAccess
  url: agentic-access/alphasense-agentic-access.yml
- type: TrustCenter
  url: security/alphasense-trust-center.yml
- type: DomainSecurity
  url: security/alphasense-domain-security.yml
- type: Authentication
  url: authentication/alphasense-authentication.yml
- 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: GettingStarted
  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: LlmsText
  url: https://developer.alpha-sense.com/llms.txt
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com

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