What can WellKnownAI do?

ai manifest registry indexing and discovery, ai manifest schema validation with structured error reporting, bearer token authentication scheme declaration and validation, manifest signature generation and receipt validation, provider contact information declaration and validation, server endpoint declaration with type and url metadata, jwks (json web key set) validation for manifest signature verification, crl (certificate revocation list) validation for compliance and key rotation, registry snapshot generation and versioning, registry diff generation and change detection, web-based registry viewer and browsing interface, manifest submission and registry entry management, openapi specification fragment integration and referencing, capability urn standardization and validation

WellKnownAI

Web App

Registry/spec examples and public snapshots (no PII; mirroring...

Best for:Developers, API integrators, and compliance teams who need authoritative, PII-free specifications for AI tool integration and standardization efforts.

/ 100

14 capabilities

Capabilities14 decomposed

ai manifest registry indexing and discovery

Medium confidence

Maintains a centralized, publicly queryable index of AI service manifests published at provider domains via `.well-known/ai.json` endpoints. Implements a pull-based aggregation model where WellKnownAI periodically fetches and validates manifests from registered provider domains, then serves a unified `registry.json` file mapping domain names to their manifest metadata. Supports decentralized provider self-hosting while enabling downstream systems (MCP clients, agent frameworks) to discover capabilities without direct provider queries.

Solves for

I need to register my AI service's capabilities so agent frameworks can discover and integrate with itI want to find all available AI services and their capabilities in a standardized formatI need to build an agent framework that can dynamically discover available tools and services at runtimeI want to maintain a canonical list of AI service integrations without hardcoding provider URLs

Best for

AI service/agent providers building discoverable APIs

Agent framework maintainers (MCP, LangChain, etc.) implementing dynamic service discovery

Enterprise AI ops teams managing multiple agent integrations

Requires

Provider domain with HTTPS support

Ability to publish `.well-known/ai.json` at provider domain root

Manifest conforming to AI Manifest v0.1 schema

Limitations

Registry is pull-based with periodic updates, not real-time — manifests may be stale by up to the snapshot interval (frequency not documented)

No built-in authentication or access control — registry is fully public, unsuitable for private/internal service discovery

No query API beyond static registry.json download — cannot filter by capability, provider, or region programmatically

What makes it unique

Uses a decentralized pull model where providers self-host manifests at their own domains (`.well-known/ai.json`) while WellKnownAI indexes them, eliminating the need for a centralized manifest submission API and enabling providers to maintain canonical specs without intermediary control. Contrasts with centralized registries (npm, PyPI) that require uploading packages to a central server.

vs alternatives

Enables decentralized capability discovery without PII exposure or centralized vendor lock-in, whereas traditional API registries (Swagger Hub, RapidAPI) require uploading specs to third-party servers and often include user data.

ai manifest schema validation with structured error reporting

Medium confidence

Provides CLI-based validation tooling (`validate-ai.mjs`) that checks manifest JSON documents against the AI Manifest v0.1 JSON schema, reporting structural conformance errors and warnings. Validates required fields (manifest_version, provider, spec, capabilities), nested object structures (servers, auth, receipts), and field types (strings, arrays, URNs). Outputs validation results as JSON reports suitable for CI/CD integration, enabling providers to catch schema violations before publishing.

Solves for

I need to validate my manifest JSON before publishing it to ensure it conforms to the specI want to integrate manifest validation into my CI/CD pipeline to prevent invalid manifests from being deployedI need to understand what fields are required vs optional in an AI Manifest documentI want to catch schema errors early in development rather than discovering them when frameworks try to parse my manifest

Best for

AI service providers building and maintaining manifests

DevOps engineers integrating validation into CI/CD pipelines

Teams implementing automated compliance checks for manifest correctness

Requires

Node.js 14+ (for running validate-ai.mjs script)

Manifest JSON file at known path

WellKnownAI validation tooling cloned or installed locally

Limitations

CLI-based only — requires Node.js runtime; no REST API for remote validation

Validates JSON schema structure only, not semantic correctness (e.g., cannot verify that capability URNs are valid or that OpenAPI URLs are reachable)

No interactive error correction — reports errors but does not suggest fixes or provide auto-formatting

What makes it unique

Implements validation as a standalone CLI tool that can be run locally or in CI/CD pipelines without requiring network calls to WellKnownAI, enabling offline validation and reducing dependency on external services. Outputs structured JSON reports for programmatic error handling, rather than human-readable text.

vs alternatives

Provides schema validation specific to AI Manifest v0.1 without requiring submission to a central service, whereas OpenAPI validators (swagger-cli, spectacle) are generic and don't understand agent-specific fields like capabilities or auth.jwks_uri.

bearer token authentication scheme declaration and validation

Medium confidence

Enables providers to declare bearer token authentication requirements in manifests via the `auth.schemes[]` array, specifying that clients must provide a bearer token (e.g., API key, JWT) to access the service. Manifests include `auth.jwks_uri` pointing to the provider's JWKS endpoint for token signature verification. Validation tooling checks that auth schemes are properly formatted and JWKS URIs are valid URLs. Enables downstream systems to understand authentication requirements and implement token validation without hardcoding provider-specific auth logic.

Solves for

I need to declare that my service requires bearer token authenticationI want downstream systems to know where to fetch my public keys for token verificationI need to support multiple authentication schemes (e.g., API key, JWT)I want to enable clients to validate tokens without calling my service

Best for

AI service providers implementing token-based authentication

Agent frameworks supporting multiple authentication schemes

Organizations requiring cryptographic token verification

Requires

Bearer token authentication implementation in service

JWKS endpoint at `/.well-known/jwks.json` for public key distribution

Auth scheme declaration in manifest

Limitations

Bearer token only — no support for other auth schemes (OAuth 2.0, mTLS, API key headers, etc.)

No token validation enforcement — manifests declare auth requirements but validation does not verify that services actually enforce them

No token format specification — unclear whether tokens should be JWTs, opaque strings, or other formats

What makes it unique

Implements authentication declaration as manifest metadata pointing to provider's JWKS endpoint, enabling clients to verify tokens cryptographically without calling the provider's authentication service. Supports decentralized token verification without requiring a centralized auth server.

vs alternatives

Provides simpler authentication than OAuth 2.0 (no authorization server required) or mTLS (no certificate infrastructure), while enabling cryptographic token verification without service calls.

manifest signature generation and receipt validation

Medium confidence

Enables providers to cryptographically sign their manifests using private keys and include signatures in the `receipts.signature[]` array, allowing downstream systems to verify manifest authenticity and detect tampering. Signatures are computed over the manifest JSON using RSA algorithms, with signature metadata (algorithm, key ID, timestamp) included in the receipt. Validation tooling checks signature structure and format but does not verify signature validity (requires downstream systems to perform cryptographic verification using provider's JWKS). Enables end-to-end manifest integrity verification without requiring a centralized signing authority.

Solves for

I want to sign my manifest so downstream systems can verify it hasn't been tampered withI need to prove that a manifest came from my service and wasn't modified in transitI want to enable clients to detect if a cached manifest has been invalidated by a new signatureI need to support multiple signatures (e.g., from different key versions during rotation)

Best for

AI service providers implementing manifest integrity verification

Security-conscious organizations requiring cryptographic proof of manifest authenticity

Teams implementing manifest caching with signature-based invalidation

Requires

RSA private key for signing manifests

Corresponding RSA public key in JWKS for verification

Signature generation tooling (not provided by WellKnownAI)

Limitations

Signature validation not enforced — manifests can be published unsigned; validation does not require signatures

No signature algorithm standardization — unclear which RSA algorithms are supported (SHA-256, SHA-512, etc.)

No timestamp validation — signature receipts include timestamps but validation does not verify timestamp freshness or consistency

What makes it unique

Implements manifest signing as optional metadata (signatures in receipts array) rather than a required field, enabling providers to adopt signing incrementally without breaking existing manifests. Supports multiple signatures for key rotation scenarios where old and new keys are both valid.

vs alternatives

Provides simpler manifest signing than full PKI (no certificate authority required) while enabling cryptographic verification, at the cost of requiring providers to manage key rotation manually.

provider contact information declaration and validation

Medium confidence

Enables providers to declare contact information in manifests via the `contact.*` fields (email, phone, support URL, etc.), allowing downstream systems and users to reach out with questions, issues, or integration requests. Validation tooling checks that contact fields are properly formatted (valid email addresses, valid URLs). Provides a standardized way for providers to publish contact information alongside their manifest, reducing friction for service discovery and integration.

Solves for

I want to publish my contact information so users can reach out about my serviceI need to provide support contact details in my manifestI want to enable agent frameworks to contact me about integration issuesI need to validate that my contact information is correctly formatted

Best for

AI service providers publishing contact information

Teams managing service integrations and support

Organizations implementing service discovery with human contact

Requires

Contact information (email, phone, URL, etc.)

Manifest with contact.* fields

Limitations

Contact validation is format-only — does not verify that email addresses or phone numbers are actually valid or monitored

No contact preference declaration — no way to specify preferred contact method or response time SLA

No contact rotation or updates — unclear how providers update contact information or remove outdated entries

What makes it unique

Implements contact information as optional manifest metadata with format validation, enabling providers to publish contact details alongside capabilities without requiring a separate contact registry. Validation is format-only, reducing validation overhead.

vs alternatives

Provides simpler contact information management than separate contact registries or CRM systems, by embedding contact details in the manifest itself.

server endpoint declaration with type and url metadata

Medium confidence

Enables providers to declare service endpoints in manifests via the `servers[]` array, specifying endpoint URLs, types (REST, WebSocket, gRPC, etc.), and metadata. Each server entry includes URL, type, and optional description, allowing downstream systems to discover available endpoints and their protocols without requiring external documentation. Validation tooling checks that server URLs are valid and types are recognized. Supports multiple endpoints per service (e.g., REST API, WebSocket for streaming, gRPC for performance).

Solves for

I want to declare all available endpoints for my service in a standardized formatI need downstream systems to know which protocols my service supports (REST, WebSocket, gRPC, etc.)I want to enable clients to choose the most appropriate endpoint for their use caseI need to support multiple endpoint types without duplicating manifest information

Best for

AI service providers with multiple endpoint types

Agent frameworks supporting diverse protocol implementations

Organizations requiring protocol-aware service discovery

Requires

Service endpoints with public URLs

Endpoint type classification (REST, WebSocket, gRPC, etc.)

Manifest with servers[] array

Limitations

Server type validation not standardized — unclear which server types are officially supported vs custom

No endpoint capability mapping — servers do not declare which capabilities they support; unclear if all capabilities are available on all endpoints

No endpoint SLA or performance metadata — servers do not include latency, throughput, or availability information

What makes it unique

Implements endpoint declaration as structured metadata (URL + type) rather than free-form strings, enabling protocol-aware service discovery. Supports multiple endpoints per service without requiring separate manifests.

vs alternatives

Provides simpler endpoint discovery than OpenAPI (which requires full schema parsing) while supporting non-REST protocols (WebSocket, gRPC) that OpenAPI does not natively support.

jwks (json web key set) validation for manifest signature verification

Medium confidence

Provides CLI validation tool (`validate-jwks.mjs`) that validates RSA public key sets published at `/.well-known/jwks.json` endpoints, ensuring they conform to JWKS specification and contain properly formatted RSA keys. Validates key structure (kty, use, kid, n, e fields), key format (base64url encoding), and key metadata. Enables downstream systems to verify manifest signatures using provider's public keys, establishing a trust chain for manifest authenticity without requiring a central CA.

Solves for

I need to publish my RSA public keys so downstream systems can verify my manifest signaturesI want to validate that my JWKS file is correctly formatted before publishing itI need to rotate my signing keys while maintaining a grace period for downstream systems to update their cached keysI want to ensure my manifest hasn't been tampered with by enabling signature verification

Best for

AI service providers implementing manifest signing and key rotation

Security teams managing AgentPKI (agent public key infrastructure)

Organizations requiring cryptographic proof of manifest authenticity

Requires

Node.js 14+ (for running validate-jwks.mjs script)

JWKS JSON file conforming to RFC 7517 specification

RSA key pair (public key for JWKS, private key for signing manifests)

Limitations

Validates JWKS structure only — does not verify that keys are actually used to sign manifests or that signatures are valid

No automated key rotation service — providers must manually manage key overlap windows (≥7 days documented as requirement)

No revocation checking — does not validate against CRL (Certificate Revocation List) during JWKS validation

What makes it unique

Implements JWKS validation as a standalone CLI tool that providers can run before publishing keys, enabling early detection of key format errors. Supports the AgentPKI pattern of decentralized key management where each provider publishes their own JWKS rather than relying on a central certificate authority.

vs alternatives

Provides JWKS-specific validation without requiring integration with a PKI provider (e.g., Let's Encrypt), enabling lightweight key rotation for agent manifests without the overhead of traditional certificate management.

crl (certificate revocation list) validation for compliance and key rotation

Medium confidence

Provides CLI validation tool (`validate-crl.mjs`) that validates Certificate Revocation List documents published at `/.well-known/ai-crl.json` endpoints. CRL documents contain revocation entries (kid, revocation_reason, revoked_at) that signal when signing keys have been compromised or rotated out. Validates CRL structure, timestamp formats, and revocation entry completeness. Enables downstream systems to check whether a manifest's signing key has been revoked before trusting the signature.

Solves for

I need to revoke a signing key that has been compromised or is no longer in useI want downstream systems to know which of my keys are no longer valid for signature verificationI need to maintain a compliance audit trail of when keys were revoked and whyI want to implement key rotation with a grace period where old and new keys are both valid

Best for

AI service providers implementing key rotation and revocation workflows

Security teams managing key lifecycle and compliance auditing

Organizations requiring cryptographic proof of key status changes

Requires

Node.js 14+ (for running validate-crl.mjs script)

CRL JSON file with revocation entries

Understanding of key rotation workflow and grace periods

Limitations

CRL validation checks structure only — does not verify that revoked keys are actually no longer used for signing

No automatic revocation propagation — downstream systems must poll CRL independently; no push notifications or webhooks

No revocation reason enforcement — accepts any string for revocation_reason without validating against standard codes

What makes it unique

Implements CRL as a lightweight JSON document (rather than X.509 CRL binary format) that providers can publish alongside manifests, enabling simple revocation signaling without PKI infrastructure. Supports agent-specific revocation reasons (e.g., 'key_compromise', 'superseded') rather than generic certificate revocation codes.

vs alternatives

Provides simpler revocation signaling than X.509 CRL or OCSP, suitable for lightweight agent manifest signing where full PKI overhead is not justified.

registry snapshot generation and versioning

Medium confidence

Automatically generates and publishes timestamped snapshots of the complete registry state (all indexed manifests, metadata, validation status) at regular intervals. Each snapshot is a point-in-time copy of `registry.json` with a timestamp, enabling downstream systems to track registry changes over time and detect when manifests have been added, removed, or modified. Snapshots are immutable and archived, providing an audit trail of registry evolution.

Solves for

I need to track when new AI services were added to the registryI want to detect if a service's manifest has changed since I last cached itI need to maintain a historical audit trail of registry state for compliance purposesI want to implement efficient incremental updates by comparing snapshots rather than re-fetching the entire registry

Best for

Agent frameworks implementing efficient registry polling with change detection

Compliance teams maintaining audit trails of service integrations

Organizations implementing registry mirroring or federation

Requires

Access to WellKnownAI snapshot storage (HTTP/HTTPS)

Ability to parse and compare JSON registry documents

Storage for maintaining local snapshot history

Limitations

Snapshots are periodic, not real-time — latency between manifest change and snapshot publication is unknown (not documented)

No snapshot API — snapshots must be downloaded as static files; no programmatic query interface for specific versions

Snapshot retention policy unknown — no documentation on how long historical snapshots are retained

What makes it unique

Implements snapshots as immutable, timestamped copies of the entire registry state rather than a transaction log or event stream, enabling simple point-in-time recovery and historical analysis without requiring complex state management. Snapshots are published as static files, enabling efficient caching and mirroring.

vs alternatives

Provides simpler versioning than event-sourced registries (which require replaying events) or git-based registries (which require git clients), at the cost of larger snapshot sizes and higher storage overhead.

registry diff generation and change detection

Medium confidence

Computes and publishes diffs between consecutive registry snapshots, identifying which manifests were added, removed, or modified between versions. Diffs include manifest-level changes (new entries, deleted entries) and field-level changes (capability additions, endpoint modifications). Enables downstream systems to efficiently detect registry changes without downloading and comparing entire snapshots, reducing bandwidth and processing overhead.

Solves for

I want to know what changed in the registry since I last checkedI need to update my local cache of manifests only when relevant entries have changedI want to implement efficient polling of the registry without downloading the entire snapshot each timeI need to audit which services were added or removed from the registry

Best for

Agent frameworks implementing efficient registry polling

Systems with bandwidth constraints needing incremental updates

Compliance teams tracking service integration changes

Requires

Access to WellKnownAI diff storage (HTTP/HTTPS)

Ability to parse diff format (JSON Patch, custom format, or other)

Logic to apply diffs to local registry cache

Limitations

Diff format and structure not documented — unclear whether diffs are JSON patches (RFC 6902), custom format, or human-readable text

No diff API — diffs must be downloaded as static files; no programmatic query interface

Field-level change granularity unknown — unclear whether diffs show individual field changes or only manifest-level additions/removals

What makes it unique

Generates diffs as static files computed from snapshot pairs, enabling efficient change detection without requiring a transaction log or event stream. Allows downstream systems to implement incremental caching strategies without polling the full registry.

vs alternatives

Provides simpler change detection than event-sourced systems (no event replay required) or webhook-based systems (no infrastructure for push notifications), at the cost of requiring polling and potential latency in change detection.

web-based registry viewer and browsing interface

Medium confidence

Provides an interactive HTML-based UI for browsing the registry, viewing individual manifest entries, and searching for services by provider name or domain. The Registry Viewer displays manifest metadata (provider info, capabilities, endpoints, auth schemes), renders OpenAPI references, and provides links to provider domains and manifest documents. Enables non-technical users and researchers to explore available AI services without parsing JSON or using CLI tools.

Solves for

I want to browse available AI services and their capabilities without writing codeI need to find a specific service by provider name or domainI want to view the manifest details for a service to understand its capabilities and endpointsI need to share a link to a service's registry entry with colleagues

Best for

Non-technical users exploring available AI services

Researchers studying AI service ecosystems and capability patterns

Teams evaluating services for integration without deep technical knowledge

Requires

Web browser with JavaScript support

Internet access to wellknownai.org

Limitations

Search functionality limited to provider name and domain — no full-text search of capabilities or descriptions

No filtering or sorting — cannot filter services by capability, region, or auth scheme

No comparative analysis — cannot compare capabilities across multiple services side-by-side

What makes it unique

Provides a simple, read-only web interface for registry browsing without requiring authentication or API keys, making the registry accessible to non-technical users and enabling easy sharing of service links. Focuses on simplicity over advanced search/filtering capabilities.

vs alternatives

Offers simpler, more accessible browsing than programmatic APIs (no code required), but lacks the advanced search and filtering capabilities of specialized API marketplaces (Swagger Hub, RapidAPI).

manifest submission and registry entry management

Medium confidence

Provides two mechanisms for providers to submit their domains to the registry: (1) GitHub PR submission where providers fork the registry repository, add their domain to a manifest list, and submit a pull request for review; (2) Web form submission where providers enter their domain and manifest details through a simple HTML form. Both mechanisms trigger validation of the provider's `.well-known/ai.json` endpoint and JWKS before accepting the submission. Enables decentralized registry growth without requiring centralized account management or API authentication.

Solves for

I want to register my AI service in the WellKnownAI registryI need to submit my domain for validation and indexingI prefer to use GitHub for submission rather than filling out a web formI want to understand what validation checks my manifest must pass before being accepted

Best for

AI service providers publishing new services

Teams managing multiple service registrations

Developers comfortable with GitHub workflows

Requires

Domain with HTTPS support

Published `.well-known/ai.json` manifest at domain root

Published `.well-known/jwks.json` JWKS file at domain root

Limitations

No automated approval — submissions require manual review by WellKnownAI maintainers (SLA unknown)

No dispute resolution process — no documented procedure for handling invalid or malicious submissions

No update mechanism — unclear how providers update existing registry entries or remove services

What makes it unique

Implements dual submission mechanisms (GitHub PR + web form) to accommodate different user preferences and technical skill levels, while maintaining decentralized validation by requiring providers to self-host manifests at their own domains. No centralized account management or API authentication required.

vs alternatives

Enables simpler submission than centralized registries (npm, PyPI) that require uploading packages to central servers, by leveraging provider's own domain as the source of truth and using GitHub as an optional coordination mechanism.

openapi specification fragment integration and referencing

Medium confidence

Supports embedding or referencing OpenAPI 3.x specification fragments within AI Manifest documents via the `spec.openapi_url` field, enabling providers to link to detailed API documentation without duplicating schema information. Manifests can reference external OpenAPI YAML/JSON files or embed OpenAPI objects directly, allowing downstream systems to discover both high-level capabilities (from manifest) and detailed endpoint schemas (from OpenAPI). Validation tooling accepts and validates OpenAPI references without requiring full OpenAPI document validation.

Solves for

I want to link my existing OpenAPI specification to my AI Manifest without duplicating schema informationI need downstream systems to discover both my high-level capabilities and detailed endpoint schemasI want to maintain a single source of truth for my API documentationI need to support both REST and non-REST endpoints in my manifest

Best for

AI service providers with existing OpenAPI specifications

Teams maintaining both REST APIs and agent-specific manifests

Organizations wanting to avoid schema duplication

Requires

Existing OpenAPI 3.x specification (YAML or JSON)

URL where OpenAPI specification is publicly accessible

Manifest with spec.openapi_url field pointing to OpenAPI document

Limitations

OpenAPI validation is not enforced — manifest validation accepts openapi_url without verifying that the URL is reachable or contains valid OpenAPI

No schema merging — downstream systems must fetch and parse OpenAPI separately; no automatic schema integration

OpenAPI 3.x only — no support for Swagger 2.0 or AsyncAPI specifications

What makes it unique

Enables loose coupling between AI Manifest (agent-specific metadata) and OpenAPI (REST API documentation) by supporting URL references rather than requiring embedded schemas, allowing providers to maintain separate documents and update them independently. Validation accepts references without enforcing reachability, reducing validation overhead.

vs alternatives

Provides simpler integration than frameworks requiring full OpenAPI embedding (which duplicates schema information), while maintaining compatibility with existing OpenAPI tooling and documentation.

capability urn standardization and validation

Medium confidence

Defines and validates a URN (Uniform Resource Name) format for identifying capabilities in manifests (e.g., `urn:ai:capability:web-search`, `urn:ai:capability:image-generation`). Capabilities array in manifests contains URN identifiers that enable standardized capability discovery and matching across heterogeneous AI services. Validation tooling checks that capability URNs conform to the URN syntax and follow the `urn:ai:capability:*` namespace convention. Enables downstream systems to match capabilities across services using standardized identifiers rather than free-form strings.

Solves for

I want to declare my service's capabilities in a standardized, machine-readable formatI need agent frameworks to match my capabilities against their requirements using standard identifiersI want to avoid capability name collisions or ambiguity across different servicesI need to enable capability-based service discovery and routing

Best for

AI service providers declaring standardized capabilities

Agent frameworks implementing capability-based service discovery

Organizations building capability-aware routing and orchestration

Requires

Understanding of URN syntax and `urn:ai:capability:*` namespace convention

List of capabilities to declare in manifest

Limitations

Capability URN registry not documented — unclear which URNs are officially defined vs custom/experimental

No capability hierarchy or taxonomy — URNs are flat identifiers; no parent-child relationships or capability grouping

No capability versioning — URNs do not include version information; unclear how to handle capability evolution

What makes it unique

Implements capability identification as URNs (standardized identifiers) rather than free-form strings or enum values, enabling extensibility and avoiding centralized capability registry. Allows services to declare custom capabilities using the `urn:ai:capability:*` namespace without requiring pre-registration.

vs alternatives

Provides more flexible capability identification than fixed enums (which require spec changes to add new capabilities) or free-form strings (which enable ambiguity), while avoiding the overhead of a centralized capability registry.

Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.

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json schema validation cli for manifest compliance checkingmachine-readable ai service discovery via standardized metadata schemawellknownai public registry with optional mirroring supportjwks-based cryptographic signature verification for manifest authenticity

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MCP Server34

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tool definition and schema registration with validation

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MCP Server19

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1 shared capability

Best For

✓AI service/agent providers building discoverable APIs
✓Agent framework maintainers (MCP, LangChain, etc.) implementing dynamic service discovery
✓Enterprise AI ops teams managing multiple agent integrations
✓AI service providers building and maintaining manifests
✓DevOps engineers integrating validation into CI/CD pipelines
✓Teams implementing automated compliance checks for manifest correctness
✓AI service providers implementing token-based authentication
✓Agent frameworks supporting multiple authentication schemes

Known Limitations

⚠Registry is pull-based with periodic updates, not real-time — manifests may be stale by up to the snapshot interval (frequency not documented)
⚠No built-in authentication or access control — registry is fully public, unsuitable for private/internal service discovery
⚠No query API beyond static registry.json download — cannot filter by capability, provider, or region programmatically
⚠Manifest version locked to v0.1 with no documented migration path for breaking changes in future spec versions
⚠No SLA or uptime guarantees documented; sustainability model unknown
⚠CLI-based only — requires Node.js runtime; no REST API for remote validation

Requirements

Provider domain with HTTPS supportAbility to publish `.well-known/ai.json` at provider domain rootManifest conforming to AI Manifest v0.1 schemaGitHub account or web form access to submit domain to registryNode.js 14+ (for running validate-ai.mjs script)Manifest JSON file at known pathWellKnownAI validation tooling cloned or installed locallyBearer token authentication implementation in service

Input / Output

Accepts: JSON (AI Manifest v0.1 document), Domain name (for registry submission), OpenAPI 3.x fragment references (optional, for spec.openapi_url), Auth scheme objects with type and JWKS URI, Manifest JSON document, RSA private key, Contact information strings (email, phone, URL), Server objects with URL, type, and optional description, JSON (JWKS document with RSA public keys), JSON (CRL document with revocation entries), None (snapshots are generated automatically by WellKnownAI), None (diffs are generated automatically by WellKnownAI), None (user input via web form for search/browse), Domain name (string), Manifest metadata (JSON, validated against schema), OpenAPI 3.x YAML or JSON document, URL string (for spec.openapi_url field), Capability URN strings (e.g., `urn:ai:capability:web-search`)

Produces: JSON (registry.json with domain → manifest mappings), JSON (timestamped snapshots of registry state), HTML (web-based Registry Viewer for browsing entries), JSON (validation report with errors, warnings, and pass/fail status), Validated auth.schemes[] array in manifest, Manifest with receipts.signature[] array containing signature metadata, Validated contact.* fields in manifest, Validated servers[] array in manifest, JSON (validation report confirming JWKS structure and key format correctness), JSON (validation report confirming CRL structure and entry completeness), JSON (timestamped registry.json snapshots), Archive files (snapshot collections for bulk download), Diff document (format unspecified — likely JSON Patch or custom JSON format), HTML (rendered manifest entries, provider information, capability lists), Registry entry (domain added to registry.json and indexed in snapshots), Manifest with embedded or referenced OpenAPI specification, Validated capabilities array in manifest

UnfragileRank

Adoption15%(30% weight)

Quality53%(25% weight)

Ecosystem15%(15% weight)

Match Graph10%(25% weight)

Freshness100%(5% weight)

UnfragileRank is computed from adoption signals, documentation quality, ecosystem connectivity, match graph feedback, and freshness. No artifact can pay for a higher rank.

Type: Web App

14 capabilities

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About

Registry/spec examples and public snapshots (no PII; mirroring allowed)

Unfragile Review

WellKnownAI serves as a valuable public registry for AI tool specifications and snapshots, functioning as a transparent directory rather than a traditional AI application. It's particularly useful for developers and researchers who need standardized metadata about AI services without concerns about personal data exposure.

Pros

+Provides publicly mirrored registry data that enables decentralized access to AI tool specifications
+Eliminates PII concerns by design, making it safe for compliance-heavy organizations to reference
+Supports the development of interoperable AI ecosystems through standardized spec examples

Cons

-Limited practical utility for end-users seeking to actually use AI tools—it's a reference layer, not a product
-Unknown pricing model creates uncertainty about long-term availability and maintenance sustainability
-Lacks community features, reviews, or comparative analysis that would help users choose between tools

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Capabilities14 decomposed

ai manifest registry indexing and discovery

Medium confidence

Solves for

Best for

AI service/agent providers building discoverable APIs

Agent framework maintainers (MCP, LangChain, etc.) implementing dynamic service discovery

Enterprise AI ops teams managing multiple agent integrations

Requires

Provider domain with HTTPS support

Ability to publish `.well-known/ai.json` at provider domain root

Manifest conforming to AI Manifest v0.1 schema

Limitations

Registry is pull-based with periodic updates, not real-time — manifests may be stale by up to the snapshot interval (frequency not documented)

No built-in authentication or access control — registry is fully public, unsuitable for private/internal service discovery

No query API beyond static registry.json download — cannot filter by capability, provider, or region programmatically

What makes it unique

vs alternatives

ai manifest schema validation with structured error reporting

Medium confidence

Solves for

Best for

AI service providers building and maintaining manifests

DevOps engineers integrating validation into CI/CD pipelines

Teams implementing automated compliance checks for manifest correctness

Requires

Node.js 14+ (for running validate-ai.mjs script)

Manifest JSON file at known path

WellKnownAI validation tooling cloned or installed locally

Limitations

CLI-based only — requires Node.js runtime; no REST API for remote validation

Validates JSON schema structure only, not semantic correctness (e.g., cannot verify that capability URNs are valid or that OpenAPI URLs are reachable)

No interactive error correction — reports errors but does not suggest fixes or provide auto-formatting

What makes it unique

vs alternatives

bearer token authentication scheme declaration and validation

Medium confidence

Solves for

Best for

AI service providers implementing token-based authentication

Agent frameworks supporting multiple authentication schemes

Organizations requiring cryptographic token verification

Requires

Bearer token authentication implementation in service

JWKS endpoint at `/.well-known/jwks.json` for public key distribution

Auth scheme declaration in manifest

Limitations

Bearer token only — no support for other auth schemes (OAuth 2.0, mTLS, API key headers, etc.)

No token validation enforcement — manifests declare auth requirements but validation does not verify that services actually enforce them

No token format specification — unclear whether tokens should be JWTs, opaque strings, or other formats

What makes it unique

vs alternatives

Provides simpler authentication than OAuth 2.0 (no authorization server required) or mTLS (no certificate infrastructure), while enabling cryptographic token verification without service calls.

manifest signature generation and receipt validation

Medium confidence

Solves for

Best for

AI service providers implementing manifest integrity verification

Security-conscious organizations requiring cryptographic proof of manifest authenticity

Teams implementing manifest caching with signature-based invalidation

Requires

RSA private key for signing manifests

Corresponding RSA public key in JWKS for verification

Signature generation tooling (not provided by WellKnownAI)

Limitations

Signature validation not enforced — manifests can be published unsigned; validation does not require signatures

No signature algorithm standardization — unclear which RSA algorithms are supported (SHA-256, SHA-512, etc.)

No timestamp validation — signature receipts include timestamps but validation does not verify timestamp freshness or consistency

What makes it unique

vs alternatives

Provides simpler manifest signing than full PKI (no certificate authority required) while enabling cryptographic verification, at the cost of requiring providers to manage key rotation manually.

provider contact information declaration and validation

Medium confidence

Solves for

Best for

AI service providers publishing contact information

Teams managing service integrations and support

Organizations implementing service discovery with human contact

Requires

Contact information (email, phone, URL, etc.)

Manifest with contact.* fields

Limitations

Contact validation is format-only — does not verify that email addresses or phone numbers are actually valid or monitored

No contact preference declaration — no way to specify preferred contact method or response time SLA

No contact rotation or updates — unclear how providers update contact information or remove outdated entries

What makes it unique

vs alternatives

Provides simpler contact information management than separate contact registries or CRM systems, by embedding contact details in the manifest itself.

server endpoint declaration with type and url metadata

Medium confidence

Solves for

Best for

AI service providers with multiple endpoint types

Agent frameworks supporting diverse protocol implementations

Organizations requiring protocol-aware service discovery

Requires

Service endpoints with public URLs

Endpoint type classification (REST, WebSocket, gRPC, etc.)

Manifest with servers[] array

Limitations

Server type validation not standardized — unclear which server types are officially supported vs custom

No endpoint capability mapping — servers do not declare which capabilities they support; unclear if all capabilities are available on all endpoints

No endpoint SLA or performance metadata — servers do not include latency, throughput, or availability information

What makes it unique

vs alternatives

Provides simpler endpoint discovery than OpenAPI (which requires full schema parsing) while supporting non-REST protocols (WebSocket, gRPC) that OpenAPI does not natively support.

jwks (json web key set) validation for manifest signature verification

Medium confidence

Solves for

Best for

AI service providers implementing manifest signing and key rotation

Security teams managing AgentPKI (agent public key infrastructure)

Organizations requiring cryptographic proof of manifest authenticity

Requires

Node.js 14+ (for running validate-jwks.mjs script)

JWKS JSON file conforming to RFC 7517 specification

RSA key pair (public key for JWKS, private key for signing manifests)

Limitations

Validates JWKS structure only — does not verify that keys are actually used to sign manifests or that signatures are valid

No automated key rotation service — providers must manually manage key overlap windows (≥7 days documented as requirement)

No revocation checking — does not validate against CRL (Certificate Revocation List) during JWKS validation

What makes it unique

vs alternatives

crl (certificate revocation list) validation for compliance and key rotation

Medium confidence

Solves for

Best for

AI service providers implementing key rotation and revocation workflows

Security teams managing key lifecycle and compliance auditing

Organizations requiring cryptographic proof of key status changes

Requires

Node.js 14+ (for running validate-crl.mjs script)

CRL JSON file with revocation entries

Understanding of key rotation workflow and grace periods

Limitations

CRL validation checks structure only — does not verify that revoked keys are actually no longer used for signing

No automatic revocation propagation — downstream systems must poll CRL independently; no push notifications or webhooks

No revocation reason enforcement — accepts any string for revocation_reason without validating against standard codes

What makes it unique

vs alternatives

Provides simpler revocation signaling than X.509 CRL or OCSP, suitable for lightweight agent manifest signing where full PKI overhead is not justified.

registry snapshot generation and versioning

Medium confidence

Solves for

Best for

Agent frameworks implementing efficient registry polling with change detection

Compliance teams maintaining audit trails of service integrations

Organizations implementing registry mirroring or federation

Requires

Access to WellKnownAI snapshot storage (HTTP/HTTPS)

Ability to parse and compare JSON registry documents

Storage for maintaining local snapshot history

Limitations

Snapshots are periodic, not real-time — latency between manifest change and snapshot publication is unknown (not documented)

No snapshot API — snapshots must be downloaded as static files; no programmatic query interface for specific versions

Snapshot retention policy unknown — no documentation on how long historical snapshots are retained

What makes it unique

vs alternatives

registry diff generation and change detection

Medium confidence

Solves for

Best for

Agent frameworks implementing efficient registry polling

Systems with bandwidth constraints needing incremental updates

Compliance teams tracking service integration changes

Requires

Access to WellKnownAI diff storage (HTTP/HTTPS)

Ability to parse diff format (JSON Patch, custom format, or other)

Logic to apply diffs to local registry cache

Limitations

Diff format and structure not documented — unclear whether diffs are JSON patches (RFC 6902), custom format, or human-readable text

No diff API — diffs must be downloaded as static files; no programmatic query interface

Field-level change granularity unknown — unclear whether diffs show individual field changes or only manifest-level additions/removals

What makes it unique

vs alternatives

web-based registry viewer and browsing interface

Medium confidence

Solves for

Best for

Non-technical users exploring available AI services

Researchers studying AI service ecosystems and capability patterns

Teams evaluating services for integration without deep technical knowledge

Requires

Web browser with JavaScript support

Internet access to wellknownai.org

Limitations

Search functionality limited to provider name and domain — no full-text search of capabilities or descriptions

No filtering or sorting — cannot filter services by capability, region, or auth scheme

No comparative analysis — cannot compare capabilities across multiple services side-by-side

What makes it unique

vs alternatives

Offers simpler, more accessible browsing than programmatic APIs (no code required), but lacks the advanced search and filtering capabilities of specialized API marketplaces (Swagger Hub, RapidAPI).

manifest submission and registry entry management

Medium confidence

Solves for

Best for

AI service providers publishing new services

Teams managing multiple service registrations

Developers comfortable with GitHub workflows

Requires

Domain with HTTPS support

Published `.well-known/ai.json` manifest at domain root

Published `.well-known/jwks.json` JWKS file at domain root

Limitations

No automated approval — submissions require manual review by WellKnownAI maintainers (SLA unknown)

No dispute resolution process — no documented procedure for handling invalid or malicious submissions

No update mechanism — unclear how providers update existing registry entries or remove services

What makes it unique

vs alternatives

openapi specification fragment integration and referencing

Medium confidence

Solves for

Best for

AI service providers with existing OpenAPI specifications

Teams maintaining both REST APIs and agent-specific manifests

Organizations wanting to avoid schema duplication

Requires

Existing OpenAPI 3.x specification (YAML or JSON)

URL where OpenAPI specification is publicly accessible

Manifest with spec.openapi_url field pointing to OpenAPI document

Limitations

OpenAPI validation is not enforced — manifest validation accepts openapi_url without verifying that the URL is reachable or contains valid OpenAPI

No schema merging — downstream systems must fetch and parse OpenAPI separately; no automatic schema integration

OpenAPI 3.x only — no support for Swagger 2.0 or AsyncAPI specifications

What makes it unique

vs alternatives

Provides simpler integration than frameworks requiring full OpenAPI embedding (which duplicates schema information), while maintaining compatibility with existing OpenAPI tooling and documentation.

capability urn standardization and validation

Medium confidence

Solves for

Best for

AI service providers declaring standardized capabilities

Agent frameworks implementing capability-based service discovery

Organizations building capability-aware routing and orchestration

Requires

Understanding of URN syntax and `urn:ai:capability:*` namespace convention

List of capabilities to declare in manifest

Limitations

Capability URN registry not documented — unclear which URNs are officially defined vs custom/experimental

No capability hierarchy or taxonomy — URNs are flat identifiers; no parent-child relationships or capability grouping

No capability versioning — URNs do not include version information; unclear how to handle capability evolution

What makes it unique

vs alternatives

Capabilities are decomposed by AI analysis. Each maps to specific user intents and improves with match feedback.

Unfragile Review

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WellKnownAI

Capabilities14 decomposed

ai manifest registry indexing and discovery

ai manifest schema validation with structured error reporting

bearer token authentication scheme declaration and validation

manifest signature generation and receipt validation

provider contact information declaration and validation

server endpoint declaration with type and url metadata

jwks (json web key set) validation for manifest signature verification

crl (certificate revocation list) validation for compliance and key rotation

registry snapshot generation and versioning

registry diff generation and change detection

web-based registry viewer and browsing interface

manifest submission and registry entry management

openapi specification fragment integration and referencing

capability urn standardization and validation

Related Artifactssharing capabilities

AI Manifest

@mastra/ai-sdk

PublicAI

Gru Sandbox

@transcend-io/mcp-server-core

boilerplate-mcp-tool

Best For

Known Limitations

Requirements

Input / Output

UnfragileRank

About

Unfragile Review

Pros

Cons

Categories

Alternatives to WellKnownAI

Are you the builder of WellKnownAI?

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Data Sources

WellKnownAI

Capabilities14 decomposed

ai manifest registry indexing and discovery

ai manifest schema validation with structured error reporting

bearer token authentication scheme declaration and validation

manifest signature generation and receipt validation

provider contact information declaration and validation

server endpoint declaration with type and url metadata

jwks (json web key set) validation for manifest signature verification

crl (certificate revocation list) validation for compliance and key rotation

registry snapshot generation and versioning

registry diff generation and change detection

web-based registry viewer and browsing interface

manifest submission and registry entry management

openapi specification fragment integration and referencing

capability urn standardization and validation

Related Artifactssharing capabilities

AI Manifest

@mastra/ai-sdk

PublicAI

Gru Sandbox

@transcend-io/mcp-server-core

boilerplate-mcp-tool

Best For

Known Limitations

Requirements

Input / Output

UnfragileRank

About

Unfragile Review

Pros

Cons

Categories

Alternatives to WellKnownAI

Are you the builder of WellKnownAI?

Get the weekly brief

Data Sources