PrompTessor

PrompTessor provides an AI prompt generation, optimization, and library platform. It offers tools to create, analyze, refine, and reverse‑engineer prompts for various AI models, supporting text, image, video, and code prompts. Users can organize prompts in a workspace, integrate with popular AI services, and access a marketplace of prompt templates. The platform includes documentation, pricing plans, and community resources for developers and prompt engineers.

PrompTessor publishes 1 API contract indexed on the APIs.io network. Tagged areas include Artificial Intelligence, Prompt Engineering, Platform, Documentation, and Community.

The PrompTessor catalog on APIs.io includes 1 event-driven AsyncAPI specification, 1 JSON-LD context, and 1 Spectral governance ruleset.

PrompTessor’s developer surface includes changelog, authentication, getting-started guide, API reference, documentation, engineering blog, pricing, and 28 more developer resources.

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48.1/100 developing ▲ 9.7 Agent 43/100 agent ready Heartbeat 100/100 alive Full breakdown ↓
scored 2026-11-13 · rubric v0.28.0 · Show this score on your site →

AccessSelf serve

1 published contract 5 Agent Skills

Artificial Intelligence Prompt Engineering Platform Documentation Community

Kin Score

Kin Score How this is scored →
scored 2026-11-13 · rubric v0.28.0

Composite quality — 48.1/100 · developing

Contract Quality 11.0 / 19

Developer Ergonomics 7.4 / 15

Access Clarity 7.7 / 15

Operational Transparency 2.8 / 10

Contract Governance 2.0 / 9

Discoverability 5.5 / 8

Regulatory Posture 2.6 / 15

Create-or-Update Ergonomics 0.0 / 10

Agent readiness — 43/100 · agent ready

Machine-Readable Contract 18 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 6 / 6

MCP Server 0 / 12

Machine-Readable Auth 10 / 10

Idempotency 9 / 9

Stable Error Semantics 8 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 6 / 6

Agent Skills 5 / 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 Horizontal (data, software, accessibility, platform) regime, 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 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.

The six quality facets above are damped to 75 points between them, because the conditional facet above carries the other 25. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 75% 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):

MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship Ask about this →
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author Ask about this →
A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0 Ask about this →
Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented) Ask about this →
Request/Response Examples +7 pts — share of operations carrying request/response examples; else an Examples / Code Samples link Ask about this →
Agentic Commerce Well-Known Document +5 pts — a parsing /.well-known/ucp.json or acp.json declaring a version and at least one service, OR (0.27) a live x402 payment challenge from _data/x402-adoption.json — `self` when its endpoints are on the provider's own domain, `platform` when they are on a vendor's Ask about this →

3 more unmet checks in the Agent Readiness table above.

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

Contract Quality scores 58.6 — up to +10.4 composite points Ask about this →
Developer Ergonomics scores 49.4 — up to +10.1 composite points Ask about this →
Access Clarity scores 51.1 — up to +9.8 composite points Ask about this →

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.

Not sure how this applies to your stack? Ask about any one item. Kin Lane reads every question, looks at your profile and your situation, and replies with what a fix would take — scoped to that one area, priced up front, yours whether you ship it or not. Ask a question →

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/promptessor/apis.yml: open an issue on github.com/api-evangelist/promptessor 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 2

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.

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.

PrompTessor API

Public REST API for PrompTessor prompt workflows, usage, history, presets, library, uploads and webhooks.

Agent Skills 5

Packaged agent skills for driving this provider's APIs from an AI assistant.

promptessor-create-and-publish-library-item

AGENT SKILL

promptessor-create-and-render-prompt-preset

AGENT SKILL

promptessor-create-upload

AGENT SKILL

promptessor-generate-analyze-optimize-prompt

AGENT SKILL

promptessor-webhook-endpoint-setup

AGENT SKILL

Terms of Service 1

What its API terms permit and prohibit, quoted from its own page.

PrompTessor

10 quoted statements, read from PrompTessor's own page on 2026-11-10.

TERMS

Privacy & Data 1

Its role, the data it processes, retention and transfers, quoted from its own privacy page.

PrompTessor

21 quoted statements, read from PrompTessor's own page on 2026-11-10.

PRIVACY

Eligibility 1

Who may sign up and where, quoted from its own terms.

PrompTessor

1 quoted statement, read from PrompTessor's own page on 2026-11-10.

ELIGIBILITY

AI Preferences 1

Its stance on AI training, inference and agents, quoted from its own pages.

PrompTessor

1 quoted statement, read from PrompTessor's own page on 2026-11-10.

AI PREFS

Data License 1

How its data and outputs may be reused, quoted from its own terms.

PrompTessor

2 quoted statements, read from PrompTessor's own page on 2026-11-10.

LICENSE

Event Specifications 1

AsyncAPI definitions for this provider's event-driven and streaming APIs.

Promptessor Webhooks

ASYNCAPI

Semantic Vocabularies 1

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

Promptessor Context

32 classes · 128 properties

JSON-LD

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs. Counts are the severity each rule declares, not results of running them.

PrompTessor API Rules

16 rules · 11 error-severity 4 warn-severity 1 info-severity

SPECTRAL

OpenAPI Overlays 1

Overlays applied on top of this provider's contracts. Each card says who wrote it: a document the provider publishes, or one API Evangelist derived or generated.

PrompTessor Openapi Overlay

0 actions · update

UNRECORDED

Security Posture 2

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

PrompTessor Authentication

1 scheme

SECURITY

PrompTessor Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

Get Started 2

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

SignUp

SignUp

Documentation 3

Reference material describing how the API behaves

APIReference

APIReference

Documentation

Documentation

AIPreferences

AIPreferences

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

AgentSkill

AgentSkill

LLMsTxt

LLMsTxt

WellKnown

WellKnown

Design & Contract 10

Pagination, idempotency, versioning, errors, and events

Spectral

JSONLD

Vocabulary

Webhooks

DataModel

Idempotency

Conventions

Lifecycle

ErrorCatalog

Conformance

Scroll for all 10

Access & Security 2

Authentication, authorization, and security posture

Authentication

Authentication

DomainSecurity

DomainSecurity

Operate 4

Status, limits, changes, and where to get help

ChangeLog

Deprecation

ChangeLog

Support

Commercial 5

Pricing, plans, and the legal terms of use

TermsOfService

PrivacyPolicy

Pricing

UsageTerms

DataLicense

Company 2

The organization behind the API

Website

Website

Blog

Blog

Other 4

Properties that don't map to a standard resource type

Hosts

Vendors

DataProcessing

Eligibility

Source (apis.yml)

aid: promptessor
name: PrompTessor
accessModel:
  pricing: unknown
  onboarding: self-serve
  trial: false
  try_now: false
  public: false
  gated: none
  gated_source:
  - onboarding
  label: Self-serve signup
  confidence: low
  source:
  - authentication
  - security
  generated: '2026-11-13'
  method: derived
image: https://promptessor.com/OG-LandingPage.png
description: PrompTessor provides an AI prompt generation, optimization, and library platform. It offers tools to create,
  analyze, refine, and reverse‑engineer prompts for various AI models, supporting text, image, video, and code prompts. Users
  can organize prompts in a workspace, integrate with popular AI services, and access a marketplace of prompt templates. The
  platform includes documentation, pricing plans, and community resources for developers and prompt engineers.
url: https://raw.githubusercontent.com/api-evangelist/promptessor/refs/heads/main/apis.yml
x-type: company
x-source: harvest:g2-catalog
x-tier: profiled
x-tier-reason: enrichment pass 2026-10-18 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-10-18'
modified: '2026-10-18'
tags:
- Artificial Intelligence
- Prompt Engineering
- Platform
- Documentation
- Community
tags_raw:
- AI
- Prompt Engineering
- Platform
- Documentation
- Community
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Spectral
  url: rules/promptessor-rules.yml
- type: JSONLD
  url: json-ld/promptessor-context.jsonld
- type: Vocabulary
  url: vocabulary/promptessor-vocabulary.yml
- type: AgentSkill
  url: skills/_index.yml
- type: Webhooks
  url: asyncapi/promptessor-webhooks.yml
- type: DataModel
  url: data-model/promptessor-data-model.yml
- type: ChangeLog
  url: changelog/promptessor-changelog.yml
- type: Idempotency
  url: conventions/promptessor-conventions.yml
- type: Conventions
  url: conventions/promptessor-conventions.yml
- type: Authentication
  url: authentication/promptessor-authentication.yml
- type: Deprecation
  url: lifecycle/promptessor-lifecycle.yml
- type: Lifecycle
  url: lifecycle/promptessor-lifecycle.yml
- type: ErrorCatalog
  url: errors/promptessor-problem-types.yml
- type: Conformance
  url: conformance/promptessor-conformance.yml
- type: LLMsTxt
  url: llms/promptessor-llms.txt
- type: WellKnown
  url: well-known/promptessor-well-known.yml
- type: Hosts
  url: hosts/promptessor-hosts.yml
- type: Vendors
  url: vendors/promptessor-vendors.yml
- type: TermsOfService
  url: https://promptessor.com/terms
- type: PrivacyPolicy
  url: https://promptessor.com/privacy
- type: ChangeLog
  url: https://promptessor.com/dev/changelog
- type: GettingStarted
  url: https://promptessor.com/dev/docs/mcp/integrations
- type: APIReference
  url: https://promptessor.com/dev/docs/api-reference
- type: DomainSecurity
  url: security/promptessor-domain-security.yml
- type: Website
  url: https://promptessor.com/
- type: Documentation
  url: https://promptessor.com/docs
- type: Blog
  url: https://promptessor.com/blog
- type: Pricing
  url: https://promptessor.com/pricing
- type: SignUp
  url: https://promptessor.com/signup
- type: Support
  url: https://promptessor.com/contact
- type: UsageTerms
  url: terms/promptessor-terms-of-service.yml
- type: DataProcessing
  url: privacy/promptessor-privacy-policy.yml
- type: Eligibility
  url: eligibility/promptessor-eligibility.yml
- type: AIPreferences
  url: ai-preferences/promptessor-ai-preferences.yml
- type: DataLicense
  url: data-license/promptessor-data-license.yml
apis:
- name: PrompTessor API
  description: Public REST API for PrompTessor prompt workflows, usage, history, presets, library, uploads and webhooks.
  humanURL: https://promptessor.com/dev/docs/api-reference
  baseURL: https://api.promptessor.com/v1
  properties: []
  aid: promptessor:promptessor-api
x-enrichment:
  date: '2026-10-18'
  status: enriched
  artifacts_added: 30
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

PrompTessor API — frequently asked questions

Does PrompTessor have an API?

Yes. APIs.io lists 1 API from PrompTessor, including PrompTessor API.

How do I authenticate with the PrompTessor API?

PrompTessor documents its authentication (1 scheme). The details are profiled on APIs.io as PrompTessor Authentication.

Is the PrompTessor API ready for AI agents?

PrompTessor has a Kin Score of 48.1 out of 100 (developing) and an Agent Readiness score of 42.6 (agent-ready), scored by API Evangelist on 2026-11-13.

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