Agentic Prompt

Agentic Prompt provides a free library of AI‑generated trading prompts designed for Claude and Robinhood’s MCP. Users can automate equity research, risk scoring, options execution, and portfolio management via a simple terminal command that connects Claude directly to Robinhood’s live trading server. The platform offers over 1,000 validated prompts across 15 categories, continuously updated weekly. It emphasizes privacy, includes a disclaimer, and is maintained by Kei Sakai.

Agentic Prompt is profiled on the APIs.io network. Tagged areas include Artificial Intelligence, Trading, Prompts, Claude, and Robinhood.

🌐 Visit website 📡 Profile data on GitHub

4.6/100 minimal ▬ flat Agent 6/100 agent aware Full breakdown ↓
scored 2026-11-02 · rubric v0.26.0 · Show this score on your site →

AccessOpen

0 APIs 1 MCP Servers

Artificial Intelligence Trading Prompts ClaudeRobinhood

Kin Score

Kin Score How this is scored →
scored 2026-11-02 · rubric v0.26.0

Composite quality — 4.6/100 · minimal

Contract Quality 0.0 / 21

Developer Ergonomics 0.0 / 17

Access Clarity 0.0 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.1 / 9

Regulatory Posture 2.9 / 15

Agent readiness — 6/100 · agent aware

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 0 / 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 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 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
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey)
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

11 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 0.0 — up to +20.0 composite points
Access Clarity scores 0.0 — up to +20.0 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/agentic-prompt-com/apis.yml: open an issue on github.com/api-evangelist/agentic-prompt-com 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 1

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)

MCP Servers 1

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

Agentic Prompt MCP Server

Remote MCP server at agentic-prompt.com.

MCP SERVER

Pricing Plans 1

Published pricing tiers and plan structures.

Agentic Prompt Com Plans Pricing

0 plans

PLANS

Rate Limits 1

Documented rate limits and quota policies.

Agentic Prompt Com Rate Limits

0 limits

RATE LIMITS

Security Posture 2

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

Agentic Prompt Com Authentication

0 schemes

SECURITY

Agentic Prompt Com Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Scopes 1

OAuth scopes governing access to this provider's APIs.

Agentic Prompt Com Scopes

OAuth 2.0 · no documented scopes

0 scopes

SCOPES

Resources

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

LLMsTxt

LLMsTxt

MCPServer

MCPServer

MCP

MCP

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Company 1

The organization behind the API

Website

Website

Other 2

Properties that don't map to a standard resource type

Hosts

Hosts

Vendors

Vendors

Source (apis.yml)

aid: agentic-prompt-com
name: Agentic Prompt
description: Agentic Prompt provides a free library of AI‑generated trading prompts designed for Claude and Robinhood’s MCP.
  Users can automate equity research, risk scoring, options execution, and portfolio management via a simple terminal command
  that connects Claude directly to Robinhood’s live trading server. The platform offers over 1,000 validated prompts across
  15 categories, continuously updated weekly. It emphasizes privacy, includes a disclaimer, and is maintained by Kei Sakai.
url: https://artifacts.apis.io/agentic-prompt-com/apis.yml
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-11-01 (modular-v1; was harvest)
accessModel:
  pricing: unknown
  onboarding: open
  trial: false
  try_now: false
  public: true
  label: Open access
  confidence: low
  probe_state: unreadable
  source:
  - authentication
  - security
  generated: '2026-11-02'
  method: derived
specificationVersion: '0.20'
created: '2026-11-01'
modified: '2026-11-01'
tags:
- Artificial Intelligence
- Trading
- Prompts
- Claude
- Robinhood
tags_raw:
- AI
- Trading
- Prompts
- Claude
- Robinhood
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
image: https://agentic-prompt.com/og-default.png
common:
- type: LLMsTxt
  url: llms/agentic-prompt-com-llms.txt
- type: MCPServer
  url: mcp/agentic-prompt-com-mcp.yml
- type: Hosts
  url: hosts/agentic-prompt-com-hosts.yml
- type: Vendors
  url: vendors/agentic-prompt-com-vendors.yml
- type: DomainSecurity
  url: security/agentic-prompt-com-domain-security.yml
- type: Website
  url: https://agentic-prompt.com/
- type: MCP
  url: https://agentic-prompt.com/
apis: []
x-coverage:
  state: unreadable
  reason: no-machine-readable-spec
  detail: No OpenAPI, AsyncAPI, GraphQL, gRPC, or WSDL contracts were found on the provider's hosts.
  evidence:
  - url: https://agentic-prompt.com/openapi.json
    status: 404
  - url: https://agentic-prompt.com/openapi.yaml
    status: 404
  - url: https://agentic-prompt.com/swagger.json
    status: 404
  - url: https://agentic-prompt.com/v1/openapi.json
    status: 404
  - url: https://agentic-prompt.com/api-docs
    status: 404
  - url: https://agentic-prompt.com/docs
    status: 404
  - url: https://agentic-prompt.com/redoc
    status: 404
  - url: https://agentic-prompt.com/graphql
    status: 404
  checked: '2026-11-01'
x-enrichment:
  date: '2026-11-01'
  status: enriched
  artifacts_added: 22
  pass: modular-v1
  engine: identity=oss,contract=oss,surfaces=oss,docs=oss,regulatory=oss

Agentic Prompt API — frequently asked questions

How do I authenticate with the Agentic Prompt API?

Agentic Prompt documents its authentication (0 schemes). The details are profiled on APIs.io as Agentic Prompt Com Authentication.

Does Agentic Prompt have an MCP server?

Yes. APIs.io lists 1 MCP server for Agentic Prompt: Remote MCP server at agentic-prompt.com.

Is the Agentic Prompt API ready for AI agents?

Agentic Prompt has a Kin Score of 4.6 out of 100 (minimal) and an Agent Readiness score of 6.0 (agent-aware), scored by API Evangelist on 2026-11-02.

Work with this as data

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MCP server

One button, every client — Claude, Cursor, VS Code and the rest.

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