vectorpanda-com

Vector Panda provides a vector database platform for AI applications, enabling semantic search over products, documents, and images. It stores embeddings generated by AI models and offers fast, scalable querying with pay‑as‑you‑go pricing. The service includes features like automatic indexing, multiple vector dimensions support, and a developer-friendly API with SDKs and extensive documentation.

vectorpanda-com publishes 3 API contracts indexed on the APIs.io network: Collections API, Health API, and Query API. Tagged areas include Company, AI, Vector Database, Semantic Search, and Embeddings.

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

vectorpanda-com’s developer surface includes getting-started guide, authentication, documentation, pricing, engineering blog, support, and 21 more developer resources.

51.5/100 developing Agent 35/100 agent ready Full breakdown ↓
scored 2026-10-31 · rubric v0.25.0 · Show this score on your site →
1 published contract 1 MCP Servers
CompanyAIVector DatabaseSemantic SearchEmbeddings

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-10-31 · rubric v0.25.0
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)
  • A2A Agent Card +8 pts — a2a/-a2a.yml manifest, graded on conformance.grade against A2A 1.0.0
  • Rate-Limit Signaling +7 pts — OpenAPI responses document X-RateLimit-* / RateLimit headers (verified), else a rate_limits artifact or RateLimits link (documented)
  • 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)
  • Registration Without a Human +6 pts — a `registration_endpoint` in the served RFC 8414 / OIDC discovery document
  • Typed Event Surface +6 pts — AsyncAPI document, OR webhooks/callbacks objects in the as-published OpenAPI, OR common[].type includes Webhooks
6 more unmet checks in the Agent Readiness table above.
Kin Score — facets with the most composite points still available (weight × headroom):
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/vectorpanda-com/apis.yml: open an issue on github.com/api-evangelist/vectorpanda-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 →

APIs 3

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

vectorpanda-com Collections API

The Collections API from vectorpanda-com — 7 operation(s) for collections.

vectorpanda-com Health API

The Health API from vectorpanda-com — 1 operation(s) for health.

vectorpanda-com Query API

The Query API from vectorpanda-com — 2 operation(s) for query.

MCP Servers 1

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

vectorpanda-com MCP Server

Remote MCP server at api.vectorpanda.com.

MCP SERVER

Pricing Plans 1

Published pricing tiers and plan structures.

Semantic Vocabularies 1

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

Vectorpanda Com Context

8 classes · 33 properties

JSON-LD

Spectral Rules 1

Spectral governance rulesets for linting and validating these APIs.

vectorpanda-com API Rules

11 rules · 10 errors 1 info

SPECTRAL

JSON Schema 6

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

Collection

9 properties

JSON SCHEMA

FileInfo

3 properties

JSON SCHEMA

QueryRequest

8 properties

JSON SCHEMA

QueryResponse

2 properties

JSON SCHEMA

QueryResult

3 properties

JSON SCHEMA

SchemaInfo

5 properties

JSON SCHEMA

Security Posture 3

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

Vectorpanda Com Authentication

http · 1 scheme

SECURITY

Vectorpanda Com Domain Security

TLSv1.2 · DMARC

SECURITY

Vectorpanda Com Vulnerability Disclosure

no policy recorded

SECURITY

Agentic Access 1

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

Vectorpanda Com Agentic Access

14 operations · 8 acting

14 operations · 8 acting

AGENTIC

Resources

Get Started 2

Portal, sign-up, and the first successful call

Documentation 1

Reference material describing how the API behaves

Agent Surfaces 4

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 6

Pagination, idempotency, versioning, errors, and events

Access & Security 4

Authentication, authorization, and security posture

Operate 2

Status, limits, changes, and where to get help

Commercial 4

Pricing, plans, and the legal terms of use

Company 3

The organization behind the API

Other 1

Properties that don't map to a standard resource type

Source (apis.yml)

apis.yml Raw ↑
aid: vectorpanda-com
name: vectorpanda-com
image: https://www.vectorpanda.com/img/mascot-hero.png
description: Vector Panda provides a vector database platform for AI applications, enabling semantic search over products,
  documents, and images. It stores embeddings generated by AI models and offers fast, scalable querying with pay‑as‑you‑go
  pricing. The service includes features like automatic indexing, multiple vector dimensions support, and a developer-friendly
  API with SDKs and extensive documentation.
url: https://artifacts.apis.io/vectorpanda-com/apis.yml
x-type: company
x-source: harvest:mcp-registry
x-tier: profiled
x-tier-reason: enrichment pass 2026-10-30 (modular-v1; was harvest)
specificationVersion: '0.20'
created: '2026-10-30'
modified: '2026-10-30'
tags:
- Company
- AI
- Vector Database
- Semantic Search
- Embeddings
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: AgenticAccess
  url: agentic-access/vectorpanda-com-agentic-access.yml
- type: Plans
  url: plans/vectorpanda-com-plans-pricing.yml
- type: Spectral
  url: rules/vectorpanda-com-rules.yml
- type: JSONLD
  url: json-ld/vectorpanda-com-context.jsonld
- type: Vocabulary
  url: vocabulary/vectorpanda-com-vocabulary.yml
- type: DataModel
  url: data-model/vectorpanda-com-data-model.yml
- type: ErrorCatalog
  url: errors/vectorpanda-com-problem-types.yml
- type: Conformance
  url: conformance/vectorpanda-com-conformance.yml
- type: LLMsTxt
  url: llms/vectorpanda-com-llms.txt
- type: MCPServer
  url: mcp/vectorpanda-com-mcp.yml
- type: WellKnown
  url: well-known/vectorpanda-com-well-known.yml
- type: Hosts
  url: hosts/vectorpanda-com-hosts.yml
- type: Security
  url: https://www.vectorpanda.com/security
- type: Login
  url: https://www.vectorpanda.com/login
- type: GettingStarted
  url: https://www.vectorpanda.com/quickstart
- type: Authentication
  url: authentication/vectorpanda-com-authentication.yml
- type: VulnerabilityDisclosure
  url: security/vectorpanda-com-vulnerability-disclosure.yml
- type: DomainSecurity
  url: security/vectorpanda-com-domain-security.yml
- type: Website
  url: https://www.vectorpanda.com/
- type: Documentation
  url: https://www.vectorpanda.com/docs
- type: Pricing
  url: https://www.vectorpanda.com/pricing
- type: Blog
  url: https://www.vectorpanda.com/blog
- type: About
  url: https://www.vectorpanda.com/about
- type: TermsOfService
  url: https://www.vectorpanda.com/terms
- type: PrivacyPolicy
  url: https://www.vectorpanda.com/privacy
- type: Support
  url: https://www.vectorpanda.com/support
- type: Contact
  url: https://www.vectorpanda.com/contact
apis:
- aid: vectorpanda-com:vectorpanda-com-collections-api
  name: vectorpanda-com Collections API
  description: The Collections API from vectorpanda-com — 7 operation(s) for collections.
  humanURL: https://www.vectorpanda.com/docs
  baseURL: https://api.vectorpanda.com
  tags:
  - Collections
  properties:
  - type: OpenAPI
    url: openapi/vectorpanda-com-collections-api-openapi.yml
  - type: JSONSchema
    url: json-schema/vectorpanda-com-query-request-schema.json
  - type: JSONSchema
    url: json-schema/vectorpanda-com-collection-schema.json
  - type: JSONSchema
    url: json-schema/vectorpanda-com-query-result-schema.json
  - type: JSONSchema
    url: json-schema/vectorpanda-com-schema-info-schema.json
  - type: JSONSchema
    url: json-schema/vectorpanda-com-query-response-schema.json
  - type: JSONSchema
    url: json-schema/vectorpanda-com-file-info-schema.json
- aid: vectorpanda-com:vectorpanda-com-health-api
  name: vectorpanda-com Health API
  description: The Health API from vectorpanda-com — 1 operation(s) for health.
  humanURL: https://www.vectorpanda.com/docs
  baseURL: https://api.vectorpanda.com
  tags:
  - Health
  properties:
  - type: OpenAPI
    url: openapi/vectorpanda-com-health-api-openapi.yml
  - type: JSONSchema
    url: json-schema/vectorpanda-com-query-request-schema.json
  - type: JSONSchema
    url: json-schema/vectorpanda-com-collection-schema.json
  - type: JSONSchema
    url: json-schema/vectorpanda-com-query-result-schema.json
  - type: JSONSchema
    url: json-schema/vectorpanda-com-schema-info-schema.json
  - type: JSONSchema
    url: json-schema/vectorpanda-com-query-response-schema.json
  - type: JSONSchema
    url: json-schema/vectorpanda-com-file-info-schema.json
- aid: vectorpanda-com:vectorpanda-com-query-api
  name: vectorpanda-com Query API
  description: The Query API from vectorpanda-com — 2 operation(s) for query.
  humanURL: https://www.vectorpanda.com/docs
  baseURL: https://api.vectorpanda.com
  tags:
  - Query
  properties:
  - type: OpenAPI
    url: openapi/vectorpanda-com-query-api-openapi.yml
  - type: JSONSchema
    url: json-schema/vectorpanda-com-query-request-schema.json
  - type: JSONSchema
    url: json-schema/vectorpanda-com-collection-schema.json
  - type: JSONSchema
    url: json-schema/vectorpanda-com-query-result-schema.json
  - type: JSONSchema
    url: json-schema/vectorpanda-com-schema-info-schema.json
  - type: JSONSchema
    url: json-schema/vectorpanda-com-query-response-schema.json
  - type: JSONSchema
    url: json-schema/vectorpanda-com-file-info-schema.json
x-enrichment:
  date: '2026-10-30'
  status: enriched
  artifacts_added: 27
  pass: modular-v1
  engine: identity=local,contract=local,surfaces=local,docs=local,regulatory=local

vectorpanda-com API — frequently asked questions

Does vectorpanda-com have an API?

Yes. APIs.io lists 3 APIs from vectorpanda-com, including vectorpanda-com Collections API, vectorpanda-com Health API and vectorpanda-com Query API.

Is there an OpenAPI specification for the vectorpanda-com API?

Yes. APIs.io indexes 3 OpenAPI specifications for vectorpanda-com, each linked for download from this page.

How do I authenticate with the vectorpanda-com API?

vectorpanda-com uses bearer-token authentication (http · 1 scheme). The details are profiled on APIs.io as Vectorpanda Com Authentication.

How much does the vectorpanda-com API cost?

APIs.io lists 3 pricing plans for vectorpanda-com, with each plan's price, limits and inclusions under Pricing Plans on this page.

Does vectorpanda-com have an MCP server?

Yes. APIs.io lists 1 MCP server for vectorpanda-com: Remote MCP server at api.vectorpanda.com.

Is the vectorpanda-com API ready for AI agents?

vectorpanda-com has a Kin Score of 51.5 out of 100 (developing) and an Agent Readiness score of 34.7 (agent-ready), scored by API Evangelist on 2026-10-31.

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