Pinecone
With its vector database at the core, Pinecone is the leading knowledge platform for building accurate, secure, and scalable AI applications. The Pinecone APIs cover Database (vector storage and search), Inference (embeddings and reranking), Assistant (RAG over documents), and Admin (organization and project management).
Solid contracts, transparent operations, and an easy start — typically complete on four or five facets with one clear soft spot.
API Evangelist profiles Pinecone the way a machine reads it — 218 machine-readable artifacts across 9 APIs, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Pinecone scores 68.5/100 (strong), with a separate agent-readiness read of 55/100 (agent ready). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Pinecone
Each block below is one kind of artifact we hold for Pinecone. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
APIs 9
Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.
Individual APIs this provider publishes, each with its own machine-readable definition.
Pinecone API Keys API
Actions that manage API Keys.
Pinecone Bulk Operations API
The Bulk Operations API from Pinecone — 2 operation(s) for bulk operations.
Pinecone Inference API
Model inference
Pinecone Manage Assistants API
Actions that manage Assistants
Pinecone Manage Indexes API
Actions that manage indexes
Pinecone Namespace Operations API
The Namespace Operations API from Pinecone — 2 operation(s) for namespace operations.
Pinecone Organizations API
Actions that manage organizations.
Pinecone Projects API
Actions that manage projects.
Pinecone Vector Operations API
The Vector Operations API from Pinecone — 10 operation(s) for vector operations.
Scroll within the panel for all 9 ·
GraphQL 1
Where a provider ships GraphQL, the schema is the contract. We profile it alongside the REST surface so the whole interface is legible in one place.
GraphQL schemas published by this provider.
Pinecone GraphQL API
Pinecone is a managed vector database for AI applications. The API covers index management, upsert and query of vector embeddings, metadata filtering, sparse-dense hybrid search...
GRAPHQLPricing Plans 1
Pricing is part of the interface. Machine-readable plans tell you what a tier costs and includes before you commit — one of the six things the Kin Score reads for commercial clarity.
Published pricing tiers and plan structures.
Rate Limits 1
Rate limits are the difference between a demo that works and a production integration that doesn't fall over. Publishing them is an operational-transparency signal — and a hard requirement for any agent that plans its own throughput.
Documented rate limits and quota policies.
Pinecone Rate Limits
RATE LIMITSFinOps 1
Cost, billing, and metering signals let a buyer model the financial operations of an API before it's live. We profile them for the same reason we profile pricing: the money is part of the contract.
Cost, billing, and metering signals for API financial operations.
Pinecone Finops
FINOPSFeatures 16
The notable capabilities this provider advertises, captured as structured features so they can be searched and compared instead of read one landing page at a time.
Notable capabilities this provider offers.
Scroll within the panel for all 16 ·
Spectral Rules 1
Governance rulesets we run against this provider's specs — the automated checks behind parts of the score. Profiling them makes the quality bar explicit and re-runnable, not a matter of opinion.
Pinecone API Rules
SPECTRALJSON Schema 136
Standalone JSON Schema definitions describe the data models behind the API. We profile them so the shapes are validatable on their own — useful long after a single request is forgotten.
Standalone JSON Schema definitions for this provider's data models.
APIKey
JSON SCHEMAAPIKeyWithSecret
JSON SCHEMAAssistant
JSON SCHEMAAssistantFileModel
JSON SCHEMABackupList
JSON SCHEMABackupModel
JSON SCHEMABYOC
JSON SCHEMABYOC
JSON SCHEMACancelImportResponse
JSON SCHEMAChatCompletionModel
JSON SCHEMAChatModel
JSON SCHEMAChatRequest
JSON SCHEMAChoiceChunkModel
JSON SCHEMAChoiceModel
JSON SCHEMACitationModel
JSON SCHEMACollectionList
JSON SCHEMACollectionModel
JSON SCHEMAConfigureIndexRequest
JSON SCHEMAContextModel
JSON SCHEMAContextOptionsModel
JSON SCHEMAContextRequest
JSON SCHEMACreateAPIKeyRequest
JSON SCHEMACreateBackupRequest
JSON SCHEMACreateCollectionRequest
JSON SCHEMACreateIndexForModelRequest
JSON SCHEMACreateIndexFromBackupRequest
JSON SCHEMACreateIndexFromBackupResponse
JSON SCHEMACreateIndexRequest
JSON SCHEMACreateNamespaceRequest
JSON SCHEMACreateProjectRequest
JSON SCHEMADeleteRequest
JSON SCHEMADeleteResponse
JSON SCHEMADeletionProtection
JSON SCHEMADense embedding
JSON SCHEMADescribeIndexStatsRequest
JSON SCHEMADocument
JSON SCHEMADocxReferenceModel
JSON SCHEMAEmbedding
JSON SCHEMAEmbeddingsList
JSON SCHEMAEmbedInputs
JSON SCHEMAEmbedRequest
JSON SCHEMAErrorResponse
JSON SCHEMAFetchByMetadataRequest
JSON SCHEMAFetchByMetadataResponse
JSON SCHEMAFetchResponse
JSON SCHEMAHighlightModel
JSON SCHEMAHit
JSON SCHEMAImageModel
JSON SCHEMAImportErrorMode
JSON SCHEMAImportModel
JSON SCHEMAIndexDescription
JSON SCHEMAIndexList
JSON SCHEMAIndexModel
JSON SCHEMAIndexSpec
JSON SCHEMAIndexTags
JSON SCHEMAJsonReferenceModel
JSON SCHEMAListApiKeysResponse
JSON SCHEMAListImportsResponse
JSON SCHEMAListItem
JSON SCHEMAListNamespacesResponse
JSON SCHEMAListResponse
JSON SCHEMAMarkdownReferenceModel
JSON SCHEMAMessageModel
JSON SCHEMAMetadataSchema
JSON SCHEMAModelIndexEmbed
JSON SCHEMAModelInfo
JSON SCHEMAModelInfoList
JSON SCHEMAModelInfoMetric
JSON SCHEMAModelInfoSupportedMetrics
JSON SCHEMAModelInfoSupportedParameter
JSON SCHEMAMultiModalContentBlocksModel
JSON SCHEMAMultiModalContentImageBlockModel
JSON SCHEMAMultiModalContentTextBlockModel
JSON SCHEMAMultiModalSnippetModel
JSON SCHEMANamespaceDescription
JSON SCHEMANamespaceSummary
JSON SCHEMAOrganization
JSON SCHEMAOrganizationList
JSON SCHEMAPagination
JSON SCHEMAPaginationResponse
JSON SCHEMAPdfReferenceModel
JSON SCHEMAPod-based
JSON SCHEMAProject
JSON SCHEMAProjectList
JSON SCHEMAprotobufAny
JSON SCHEMAQueryRequest
JSON SCHEMAQueryResponse
JSON SCHEMAQueryVector
JSON SCHEMARankedDocument
JSON SCHEMAReadCapacity
JSON SCHEMAReadCapacityDedicatedConfig
JSON SCHEMADedicated
JSON SCHEMADedicated
JSON SCHEMAOn-demand
JSON SCHEMAOn-demand
JSON SCHEMAReadCapacityResponse
JSON SCHEMAReadCapacityStatus
JSON SCHEMAReferenceModel
JSON SCHEMARerankRequest
JSON SCHEMARerankResult
JSON SCHEMARestoreJobList
JSON SCHEMARestoreJobModel
JSON SCHEMArpcStatus
JSON SCHEMAScalingConfigManual
JSON SCHEMAScoredVector
JSON SCHEMASearchCompletions
JSON SCHEMASearchMatchTerms
JSON SCHEMASearchRecordsRequest
JSON SCHEMASearchRecordsResponse
JSON SCHEMASearchRecordsVector
JSON SCHEMASearchUsage
JSON SCHEMAServerless
JSON SCHEMAServerlessSpecResponse
JSON SCHEMAThe query results for a single `QueryVector`
JSON SCHEMASnippetModel
JSON SCHEMASparse embedding
JSON SCHEMASparseValues
JSON SCHEMAStartImportRequest
JSON SCHEMAStartImportResponse
JSON SCHEMAStreamChatCompletionChunkModel
JSON SCHEMATextReferenceModel
JSON SCHEMATextSnippetModel
JSON SCHEMATypedReferenceModel
JSON SCHEMAUpdateAPIKeyRequest
JSON SCHEMAUpdateOrganizationRequest
JSON SCHEMAUpdateProjectRequest
JSON SCHEMAUpdateRequest
JSON SCHEMAUpdateResponse
JSON SCHEMAUpsertRecord
JSON SCHEMAUpsertRequest
JSON SCHEMAUpsertResponse
JSON SCHEMAUsage
JSON SCHEMAUsageModel
JSON SCHEMAVector
JSON SCHEMAVectorType
JSON SCHEMAVectorValues
JSON SCHEMAScroll within the panel for all 136 ·
JSON Structure 1
JSON Structure captures the data shapes in a form built for tooling — a complement to JSON Schema that keeps the model machine-legible.
JSON Structure definitions describing this provider's data shapes.
Pinecone Structure
JSON STRUCTUREExamples 47
Real request and response payloads are what turn a spec from abstract into obvious — and they're one of the twelve things an agent needs to call an API correctly on the first try.
Example request and response payloads for these APIs.
Pinecone Delete File Example
EXAMPLEPinecone Embed Example
EXAMPLEPinecone Get Model Example
EXAMPLEPinecone List Files Example
EXAMPLEPinecone List Models Example
EXAMPLEPinecone Rerank Example
EXAMPLEPinecone Upload File Example
EXAMPLEScroll within the panel for all 47 ·
Security Posture 3
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Agentic Access 1
An x-agentic-access contract marks which operations are safe for an agent to run on its own and which need a human in the loop. It is the difference between an API an agent can use and one it can use safely.
Recommended x-agentic-access execution contracts for AI agents.
Resources
Every other property we hold for Pinecone — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Get Started 2
Portal, sign-up, and the first successful call
Documentation 1
Reference material describing how the API behaves
Agent Surfaces 2
MCP servers, agent skills, and machine-readable catalogs
Build 2
SDKs, sample code, and the tooling you integrate with
Access & Security 4
Authentication, authorization, and security posture
Operate 2
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 4
The organization behind the API
Other 2
Properties that don't map to a standard resource type
← All providers · Data indexed from github.com/api-evangelist/pinecone · machine-readable index on apis.io