# Pinecone Integration

An ai tool your agent can run on one prepaid apifare key. Page: https://apifare.com/tools/apify/pinecone-integration

## What you need

An apifare key with credits (sign up: POST https://apifare.com/v1/signup {"email": "..."}; new accounts get 500 free credits). No other account or key.

## Inputs

- `pineconeApiKey` (string, required): Pinecone API KEY
- `pineconeIndexName` (string, required): Pinecone index name
- `embeddingsProvider` (string, required): Embeddings provider (as defined in the langchain API) (e.g. "OpenAI")
- `embeddingsApiKey` (string, required): Embeddings API KEY (whenever applicable, depends on provider)
- `datasetFields` (array, required): Dataset fields to select from the dataset results and store in the da… (e.g. ["text"])
- `pineconeIndexNamespace` (string): Pinecone index namespace

The most relevant fields; the search result's input_schema lists all of them.

## Price

5 credits reserved per run, settled to the run's true cost, never more than 20 credits (1 credit = $0.01). Failed runs are refunded. Exact numbers: https://apifare.com/capabilities

## Run it

1. Find it: MCP search_apis, or GET https://apifare.com/v1/search?q=Pinecone%20Integration with Authorization: Bearer <token>. Take the result named "Pinecone Integration"; it carries a proxy_route.
2. Run it: MCP proxy_call with that proxy_route and the input JSON (apifare-mcp over stdio), or POST the proxy_route over HTTP with the input JSON as the body and the same Authorization header.
3. On HTTP 402, relay the body's human_readable field to your human verbatim, wait, then retry the same call. Every other error and its fix: https://apifare.com/errors.md