DeepRecall

DeepRecall provides AI‑powered regulatory intelligence for marketplace enforcement, delivering over 120,000 alerts across multiple jurisdictions. The platform automates decision‑making with regulator‑grade evidence and complies with DSA, GPSR, and CPSC standards. It helps businesses monitor and respond to compliance risks efficiently.

DeepRecall publishes 2 API contracts indexed on the APIs.io network: Health API and Recalls API. Tagged areas include Artificial Intelligence, Regulatory, Marketplace, Compliance, and Intelligence.

The DeepRecall catalog on APIs.io includes 1 JSON-LD context and 1 Spectral governance ruleset.

DeepRecall’s developer surface includes authentication, API reference, getting-started guide, documentation, and 16 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

37.1/100 thin Agent 46/100 agent ready Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

1 published contract 1 Agent Skills

Artificial Intelligence Regulatory Marketplace Compliance Intelligence

Kin Score

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

Composite quality — 37.1/100 · thin

Contract Quality 12.1 / 21

Developer Ergonomics 8.0 / 17

Access Clarity 0.0 / 17

Operational Transparency 3.5 / 11

Contract Governance 2.2 / 10

Discoverability 5.6 / 9

Regulatory Posture 2.3 / 15

Agent readiness — 46/100 · agent ready

Machine-Readable Contract 18 / 18

Agentic Access Contract 10 / 10

Documented Reversibility 0 / 6

MCP Server 12 / 12

Machine-Readable Auth 10 / 10

Idempotency 0 / 9

Stable Error Semantics 8 / 8

Request/Response Examples 7 / 7

Rate-Limit Signaling 7 / 7

Typed Event Surface 0 / 6

Agent Skills 5 / 5

Well-Known Catalog 4 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 8 / 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 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 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):

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)
Registration Without a Human +6 pts — a `registration_endpoint` in the served RFC 8414 / OIDC discovery document
Delegated User Identity +6 pts — a served discovery document listing authorization_code in grant_types_supported (served), else an oauth2 authorizationCode flow or openIdConnect declared in an OpenAPI (documented)
Typed Event Surface +6 pts — AsyncAPI document, OR webhooks/callbacks objects in the as-published OpenAPI, OR common[].type includes Webhooks
Documented Reversibility +6 pts — a reversal operation in the contract, graded up when a window is documented too
Protected Resource Metadata +5 pts — a served /.well-known/oauth-protected-resource carrying `resource` (documented), and naming its authorization_servers (verified)

3 more unmet checks in the Agent Readiness table above.

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

Access Clarity scores 0.0 — up to +20.0 composite points
Contract Quality scores 57.1 — up to +10.7 composite points
Developer Ergonomics scores 46.9 — up to +10.6 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/deeprecall-io/apis.yml: open an issue on github.com/api-evangelist/deeprecall-io 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.

Agent2Agent

measured — observed by APIs.io (conformant)

Model Context Protocol (MCP)

measured — observed by APIs.io (documented)

OpenAPI

measured — observed by APIs.io (published)

APIs 2

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

DeepRecall Health API

System health and status endpoints

DeepRecall Recalls API

Product recall data endpoints

Agent Skills 1

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

get-feed

AGENT SKILL

DeepRecall API pricing

Rate limits

minute: 60 requests per minute
hour: 1000 requests per hour
day: 10000 requests per day

Rate-limit details →

Rate Limits 1

Documented rate limits and quota policies.

Deeprecall Io Rate Limits

3 limits

RATE LIMITS

Semantic Vocabularies 1

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

Deeprecall Io Context

12 classes · 65 properties

JSON-LD

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

DeepRecall API Rules

55 rules · 48 errors 1 warnings 6 info

SPECTRAL

JSON Schema 4

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

HealthResponse

4 properties

JSON SCHEMA

RecallsFeedResponse

6 properties

JSON SCHEMA

RecallsSimilaritySearchRequest

6 properties

JSON SCHEMA

RecallsSimilaritySearchResponse

10 properties

JSON SCHEMA

Security Posture 2

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

Deeprecall Io Authentication

1 scheme

SECURITY

Deeprecall Io Domain Security

TLSv1.3 · HSTS

SECURITY

Agentic Access 1

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

Deeprecall Io Agentic Access

5 operations

5 operations · 0 acting

AGENTIC

Resources

Get Started 1

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

Documentation 2

Reference material describing how the API behaves

APIReference

APIReference

Documentation

Documentation

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

AgenticAccess

AgenticAccess

AgentSkill

AgentSkill

LLMsTxt

LLMsTxt

Design & Contract 7

Pagination, idempotency, versioning, errors, and events

Spectral

JSONLD

Vocabulary

DataModel

Conventions

ErrorCatalog

Conformance

Scroll for all 7

Access & Security 2

Authentication, authorization, and security posture

Authentication

Authentication

DomainSecurity

DomainSecurity

Operate 1

Status, limits, changes, and where to get help

RateLimits

RateLimits

Company 1

The organization behind the API

Website

Website

Other 3

Properties that don't map to a standard resource type

AgentCard

AgentCard

Hosts

Hosts

Vendors

Vendors

Source (apis.yml)

aid: deeprecall-io
name: DeepRecall
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source:
  - authentication
  - rate-limits
  - security
  generated: '2026-11-06'
  method: derived
image: https://deeprecall.io/assets/images/og-image.jpg
description: DeepRecall provides AI‑powered regulatory intelligence for marketplace enforcement, delivering over 120,000 alerts
  across multiple jurisdictions. The platform automates decision‑making with regulator‑grade evidence and complies with DSA,
  GPSR, and CPSC standards. It helps businesses monitor and respond to compliance risks efficiently.
url: https://artifacts.apis.io/deeprecall-io/apis.yml
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-11-05 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-11-05'
modified: '2026-11-05'
tags:
- Artificial Intelligence
- Regulatory
- Marketplace
- Compliance
- Intelligence
tags_raw:
- AI
- Regulatory
- Marketplace
- Compliance
- Intelligence
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: AgenticAccess
  url: agentic-access/deeprecall-io-agentic-access.yml
- type: RateLimits
  url: rate-limits/deeprecall-io-rate-limits.yml
- type: Spectral
  url: rules/deeprecall-io-rules.yml
- type: JSONLD
  url: json-ld/deeprecall-io-context.jsonld
- type: Vocabulary
  url: vocabulary/deeprecall-io-vocabulary.yml
- type: AgentSkill
  url: skills/_index.yml
- type: DataModel
  url: data-model/deeprecall-io-data-model.yml
- type: Conventions
  url: conventions/deeprecall-io-conventions.yml
- type: Authentication
  url: authentication/deeprecall-io-authentication.yml
- type: ErrorCatalog
  url: errors/deeprecall-io-problem-types.yml
- type: Conformance
  url: conformance/deeprecall-io-conformance.yml
- type: LLMsTxt
  url: llms/deeprecall-io-llms.txt
- type: AgentCard
  url: a2a/deeprecall-io-a2a.yml
- type: Hosts
  url: hosts/deeprecall-io-hosts.yml
- type: Vendors
  url: vendors/deeprecall-io-vendors.yml
- type: APIReference
  url: https://docs.deeprecall.io/api-reference/introduction
- type: GettingStarted
  url: https://docs.deeprecall.io/quickstart
- type: Documentation
  url: https://docs.deeprecall.io/
- type: DomainSecurity
  url: security/deeprecall-io-domain-security.yml
- type: Website
  url: https://deeprecall.io/
apis:
- aid: deeprecall-io:deeprecall-io-health-api
  name: DeepRecall Health API
  description: System health and status endpoints
  humanURL: https://docs.deeprecall.io/api-reference/introduction
  baseURL: https://api.deeprecall.io
  tags:
  - Health
  properties:
  - type: OpenAPI
    url: openapi/deeprecall-io-health-api-openapi.yml
  - type: JSONSchema
    url: json-schema/deeprecall-io-recalls-similarity-search-request-schema.json
  - type: JSONSchema
    url: json-schema/deeprecall-io-recalls-similarity-search-response-schema.json
  - type: JSONSchema
    url: json-schema/deeprecall-io-recalls-feed-response-schema.json
  - type: JSONSchema
    url: json-schema/deeprecall-io-health-response-schema.json
- aid: deeprecall-io:deeprecall-io-recalls-api
  name: DeepRecall Recalls API
  description: Product recall data endpoints
  humanURL: https://docs.deeprecall.io/api-reference/introduction
  baseURL: https://api.deeprecall.io
  tags:
  - Recalls
  properties:
  - type: OpenAPI
    url: openapi/deeprecall-io-recalls-api-openapi.yml
  - type: JSONSchema
    url: json-schema/deeprecall-io-recalls-similarity-search-request-schema.json
  - type: JSONSchema
    url: json-schema/deeprecall-io-recalls-similarity-search-response-schema.json
  - type: JSONSchema
    url: json-schema/deeprecall-io-recalls-feed-response-schema.json
  - type: JSONSchema
    url: json-schema/deeprecall-io-health-response-schema.json
x-enrichment:
  date: '2026-11-05'
  status: enriched
  artifacts_added: 29
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

DeepRecall API — frequently asked questions

Does DeepRecall have an API?

Yes. APIs.io lists 2 APIs from DeepRecall, including DeepRecall Health API and DeepRecall Recalls API.

Is there an OpenAPI specification for the DeepRecall API?

Yes. APIs.io indexes 2 OpenAPI specifications for DeepRecall, each linked for download from this page.

How do I authenticate with the DeepRecall API?

DeepRecall uses bearer-token authentication (1 scheme). The details are profiled on APIs.io as Deeprecall Io Authentication.

Is the DeepRecall API ready for AI agents?

DeepRecall has a Kin Score of 37.1 out of 100 (thin) and an Agent Readiness score of 46.1 (agent-ready), scored by API Evangelist on 2026-11-06.

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