AgentSmyth

AgentSmyth is a New York based financial-technology company building autonomous AI agents for institutional trading and investment research. The platform orchestrates a set of specialized agents - Macro, Sentiment, Quant, Options and Earnings, plus an Agent Wealth beta - that compress the research-to-trade workflow from hours to seconds and return cited, auditable market intelligence to traders, hedge funds, banks and asset managers. Delivery is an enterprise SaaS desk with per-tenant isolation, SSO/SAML with SCIM, model allow/deny governance and optional VPC/on-prem inference. The company runs a Kong Enterprise API gateway at api.agentsmyth.com, a private Kong Konnect developer portal, and an OAuth-protected remote MCP server that exposes the agent desk to MCP clients. Founded in 2024 by Pulkit Jaiswal, Daniel McCooey and Robert DiFazio, it has raised 11.2M dollars including an 8.7M dollar seed co-led by FinTech Collective and Thomson Reuters, with BNY participating through its Ascent program.

AgentSmyth is listed with 1 API on the APIs.io network. Tagged areas include Financial Services, Capital Markets, Artificial Intelligence, AI Agents, and Trading.

AgentSmyth’s developer surface includes signup flow, authentication, and 16 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

22.3/100 emerging ▬ flat Agent 25/100 agent aware Front door AI 1/6 silent Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

1 API 1 MCP Servers

Financial Services Capital Markets Artificial Intelligence AI Agents Trading Investment Research Market Intelligence MCP Agent-Native Fintech

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 22.3/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 2.0 / 17

Access Clarity 6.3 / 17

Operational Transparency 0.0 / 11

Contract Governance 1.9 / 10

Discoverability 6.4 / 9

Regulatory Posture 6.0 / 15

Agent readiness — 25/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 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 6 / 6

Protected Resource Metadata 5 / 5

Registration Without a Human 6 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the Securities & Market Data regime (on an ambiguous tag, where no other regime matched), so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link

7 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 0.0 — up to +25.0 composite points
Developer Ergonomics scores 11.9 — up to +17.6 composite points
Operational Transparency scores 0.0 — up to +13.0 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

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 the provider profile at artifacts.apis.io/agentsmyth/apis.yml: open an issue on github.com/api-evangelist/agentsmyth to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Standards implemented 3

Standards this provider implements or carries. De facto ones are profiled and measured by the API Commons; formal ones come from the standards directory and are linked by the provider's own tags. The evidence column says how each claim was established — not that it was made.

Model Context Protocol (MCP)

measured — observed by APIs.io (documented)

OAuth 2.0 Protected Resource Metadata

measured — observed by APIs.io (verified)

Dynamic Client Registration

measured — observed by APIs.io (published)

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

AgentSmyth MCP Server

OAuth-protected remote Model Context Protocol endpoint served from the AgentSmyth Kong Enterprise gateway. An unauthenticated POST of an MCP tools/list request returns HTTP 401 ...

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

AgentSmyth MCP Server

Remote MCP server at api.agentsmyth.com over HTTP requiring OAuth.

MCP SERVER

AgentSmyth API pricing

Pricing Plans 1

Published pricing tiers and plan structures.

Agentsmyth Plans Pricing

0 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Agentsmyth Rate Limits

0 limits

RATE LIMITS

Security Posture 2

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

Agentsmyth Authentication

2 schemes

SECURITY

Agentsmyth Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Scopes 1

OAuth scopes governing access to this provider's APIs.

Agentsmyth Scopes

4 scopes

SCOPES

Resources

Get Started 2

Portal, sign-up, and the first successful call

DeveloperPortal

DeveloperPortal

SignUp

SignUp

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

WellKnown

WellKnown

MCPServer

MCPServer

Design & Contract 3

Pagination, idempotency, versioning, errors, and events

Conformance

Conformance

Conventions

Conventions

Lifecycle

Lifecycle

Access & Security 5

Authentication, authorization, and security posture

TrustCenter

Compliance

Authentication

OAuthScopes

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

RateLimits

RateLimits

Commercial 3

Pricing, plans, and the legal terms of use

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Plans

Plans

Company 1

The organization behind the API

Website

Website

Source (apis.yml)

aid: agentsmyth
name: AgentSmyth
description: AgentSmyth is a New York based financial-technology company building autonomous AI agents for institutional trading
  and investment research. The platform orchestrates a set of specialized agents - Macro, Sentiment, Quant, Options and Earnings,
  plus an Agent Wealth beta - that compress the research-to-trade workflow from hours to seconds and return cited, auditable
  market intelligence to traders, hedge funds, banks and asset managers. Delivery is an enterprise SaaS desk with per-tenant
  isolation, SSO/SAML with SCIM, model allow/deny governance and optional VPC/on-prem inference. The company runs a Kong Enterprise
  API gateway at api.agentsmyth.com, a private Kong Konnect developer portal, and an OAuth-protected remote MCP server that
  exposes the agent desk to MCP clients. Founded in 2024 by Pulkit Jaiswal, Daniel McCooey and Robert DiFazio, it has raised
  11.2M dollars including an 8.7M dollar seed co-led by FinTech Collective and Thomson Reuters, with BNY participating through
  its Ascent program.
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  probe_state: covered
  source:
  - authentication
  - scopes
  - rate-limits
  - security
  generated: '2026-11-06'
  method: derived
image: https://cdn.sanity.io/images/rpz1t3s7/production/92d6674aeab06f9dfd19cbe31b81923ac1c1a9f7-128x128.png
url: https://raw.githubusercontent.com/api-evangelist/agentsmyth/refs/heads/main/apis.yml
x-type: company
x-source: harvest:secondary-market
specificationVersion: '0.20'
created: '2026-09-12'
modified: '2026-09-12'
position: Producing
tags:
- Financial Services
- Capital Markets
- Artificial Intelligence
- AI Agents
- Trading
- Investment Research
- Market Intelligence
- MCP
- Agent-Native
- Fintech
tags_raw:
- Financial Services
- Capital Markets
- Artificial Intelligence
- AI Agents
- Trading
- Investment Research
- Market Intelligence
- MCP
- agent-native
- FinTech
- Financial-Services
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
apis:
- name: AgentSmyth MCP Server
  description: OAuth-protected remote Model Context Protocol endpoint served from the AgentSmyth Kong Enterprise gateway.
    An unauthenticated POST of an MCP tools/list request returns HTTP 401 with an RFC 9728 WWW-Authenticate challenge naming
    the protected-resource metadata document, which in turn names the WorkOS AuthKit authorization server. The tool set and
    its input schemas are behind that OAuth wall and were not read.
  image: https://cdn.sanity.io/images/rpz1t3s7/production/92d6674aeab06f9dfd19cbe31b81923ac1c1a9f7-128x128.png
  humanURL: https://developer.agentsmyth.com/
  baseURL: https://api.agentsmyth.com
  tags:
  - MCP
  - AI Agents
  - Capital Markets
  properties:
  - type: MCPServer
    url: mcp/agentsmyth-mcp.yml
  - type: Authentication
    url: authentication/agentsmyth-authentication.yml
  - type: OAuthScopes
    url: scopes/agentsmyth-scopes.yml
common:
- type: Website
  url: https://agentsmyth.com/
- type: DeveloperPortal
  url: https://developer.agentsmyth.com/
- type: SignUp
  url: https://9dlk6s8r2pl.typeform.com/to/zLCApa1Y
- type: TermsOfService
  url: https://agentsmyth.com/legal/terms-of-service
- type: PrivacyPolicy
  url: https://agentsmyth.com/legal/privacy-policy
- type: TrustCenter
  url: https://agentsmyth.com/institutional-trust
- type: Compliance
  url: conformance/agentsmyth-conformance.yml
- type: LLMsTxt
  url: llms/agentsmyth-llms.txt
- type: WellKnown
  url: well-known/agentsmyth-well-known.yml
- type: MCPServer
  url: mcp/agentsmyth-mcp.yml
- type: Authentication
  url: authentication/agentsmyth-authentication.yml
- type: OAuthScopes
  url: scopes/agentsmyth-scopes.yml
- type: Conformance
  url: conformance/agentsmyth-conformance.yml
- type: Conventions
  url: conventions/agentsmyth-conventions.yml
- type: Lifecycle
  url: lifecycle/agentsmyth-lifecycle.yml
- type: DomainSecurity
  url: security/agentsmyth-domain-security.yml
- type: Plans
  url: plans/agentsmyth-plans-pricing.yml
- type: RateLimits
  url: rate-limits/agentsmyth-rate-limits.yml
x-enrichment:
  date: '2026-09-12'
  status: enriched
  artifacts_added: 16
  pass: local-v3
x-coverage:
  state: covered
  reason: null
  detail: 'Real first-party artifacts were found and saved - a served llms.txt, four OAuth/OIDC discovery documents and an
    OAuth-protected remote MCP endpoint - but the machine-readable contract itself is gated: the Kong Konnect developer portal
    at developer.agentsmyth.com reports is_public false with OIDC auth required, and its anonymous API catalog returns zero
    APIs.'
  evidence:
  - url: https://api.agentsmyth.com/mcp
    status: 401
  - url: https://api.agentsmyth.com/.well-known/oauth-protected-resource/mcp
    status: 200
  - url: https://developer.agentsmyth.com/api/v2/portal
    status: 200
  - url: https://developer.agentsmyth.com/api/v3/apis
    status: 200
  - url: https://agentsmyth.com/llms.txt
    status: 200
  - url: https://api.agentsmyth.com/openapi.json
    status: 404
  checked: '2026-09-12'

AgentSmyth API — frequently asked questions

Does AgentSmyth have an API?

Yes. APIs.io lists 1 API from AgentSmyth, including AgentSmyth MCP Server.

How do I authenticate with the AgentSmyth API?

AgentSmyth documents its authentication (2 schemes). The details are profiled on APIs.io as Agentsmyth Authentication.

Does AgentSmyth have an MCP server?

Yes. APIs.io lists 1 MCP server for AgentSmyth: Remote MCP server at api.agentsmyth.com over HTTP requiring OAuth.

Is the AgentSmyth API ready for AI agents?

AgentSmyth has a Kin Score of 22.3 out of 100 (emerging) and an Agent Readiness score of 24.7 (agent-aware), scored by API Evangelist on 2026-11-06.

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