Two-way sync
Changes in Gladly or Pinecone instantly reflect in both systems. No stale data, no manual imports.
Keep Gladly and Pinecone in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Pinecone turns data into something a revenue team can act on: scores, classifications, summaries, and embeddings. But the customers those results describe live in Gladly, where reps and marketers actually work. Intelligence that stays inside Pinecone rarely reaches the record where a decision gets made, and Pinecone is only as sharp as the data it sees, which is also held in Gladly.
Stacksync connects Backups, Index statistics, Indexes, Vectors (records) in Pinecone to Conversation items, Agents, Topics, Tasks in Gladly with bi-directional, real-time sync. Records and fields from Gladly flow into Pinecone as the material it scores, indexes, or enriches, and the values Pinecone produces flow back onto the matching contact, account, or deal in Gladly, field by field, within seconds. There is no batch export in the middle and no glue code to maintain.
Because the mapping is field-level, you choose exactly which attributes cross and in which direction, so Gladly stays the record of the customer while Pinecone stays where the computation happens.
Enriched attributes from Pinecone populate contact and company fields in Gladly, and refreshes keep them from going stale.
Lead scores, fit ratings, or priority computed in Pinecone land as fields on the matching contact or account in Gladly, so reps sort and act on them without leaving the CRM.
Categories, sentiment, or intent produced in Pinecone attach to the right contact, account, or deal in Gladly, keeping segmentation current as new data arrives.
Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.
| Gladly objects | Pinecone objects | How this pairing syncs | |
|---|---|---|---|
| Tasks Follow-up work items created from external triggers or synced for workload reporting. | Namespaces Partitions inside an index; every read and write targets one namespace and vectors across namespaces are isolated. Enumerated with list_namespaces and sized per namespace via describe_index_stats. | Tasks is specific to Gladly and Namespaces to Pinecone — each maps to any object or custom field on the other side. | |
| Customer profiles The central entity; merges identifiers like email, phone, and order IDs, which syncs use for matching. | Collections Immutable snapshots of a pod-based index that store its data but not its definition; created, listed, and deleted on the control plane and used to recreate a pod-based index. Serverless indexes use Backups instead. | Customer profiles is specific to Gladly and Collections to Pinecone — each maps to any object or custom field on the other side. | |
| Conversations Each customer's continuous timeline; status and outcomes sync to CRMs and warehouses. | Backups Point-in-time snapshots of a serverless index; created, listed, and restored into a new index on the control plane for recovery or cloning. Read as a recovery-asset inventory. | Conversations is specific to Gladly and Backups to Pinecone — each maps to any object or custom field on the other side. | |
| Conversation items Individual messages across voice, SMS, chat, and email attached to the conversation. | Index statistics Describe_index_stats returns total and per-namespace vector counts, the index dimension, and index fullness; read to size a sync and to detect drift between Pinecone and the source of truth. | Conversation items is specific to Gladly and Index statistics to Pinecone — each maps to any object or custom field on the other side. | |
| Agents User records used to attribute work in CX analytics. | Indexes Serverless or pod-based containers holding vectors of a fixed dimension and distance metric (cosine, dotproduct, euclidean); managed on the control plane (api.pinecone.io) via create, list, describe, configure, and delete. describe_index returns the per-index data-plane host. | Agents is specific to Gladly and Indexes to Pinecone — each maps to any object or custom field on the other side. | |
| Topics Categorization applied to conversations; the key dimension for contact-driver reporting. | Vectors (records) The core data: an id (up to 512 chars), a dense values array, optional sparse_values, and JSON metadata (up to 40 KB filterable per record). Full CRUD on the data plane via upsert, update, fetch, query, and delete, so write is supported here. | Topics is specific to Gladly and Vectors (records) to Pinecone — each maps to any object or custom field on the other side. |
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
DetectionGladly notifies Stacksync of record changes through webhook events. Webhook event subscriptions for conversation and customer events, supplemented by polling and report exports.
DeliveryEach detected change is written to Pinecone through its API, with automatic retries and rate-limit backoff.
DetectionStacksync polls Pinecone for changes on an incremental schedule, reading only records changed since the previous pass. No webhooks and no native change-data-capture feed.
DeliveryEach detected change is written to Gladly through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Gladly–Pinecone connection.
Changes in Gladly or Pinecone instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Gladly or Pinecone data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Gladly or Pinecone record.
Track your Gladly ⇄ Pinecone sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Gladly and Pinecone.
Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.
Authenticate Gladly and Pinecone with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Gladly and Pinecone objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Gladly and Pinecone: authenticate both systems, choose the objects to sync (such as Gladly's Tasks and Customer profiles), map fields visually, and changes propagate both ways in milliseconds — no code required.
Common patterns for Gladly and Pinecone: Where Pinecone enriches people or companies: fields fill in; Where Pinecone scores or ranks records: results on the CRM record; Where Pinecone classifies or tags: labels sync onto the record. Enriched attributes from Pinecone populate contact and company fields in Gladly, and refreshes keep them from going stale.
Gladly: REST API. Authentication: API tokens used with basic authentication tied to an agent email. Pinecone: Two HTTP APIs: a control plane at api.pinecone.io (manage indexes, collections, backups, and, via the Admin API, projects and API keys) and a per-index data plane at the host returned by describe_index (upsert, query, fetch, update, delete, list). A gRPC data-plane transport is available through the official SDKs. Authentication: API key in the Api-Key request header, scoped to one project; every request also sends an X-Pinecone-Api-Version header (date-based, e.g. 2025-10). The organization Admin API instead uses OAuth2 client-credentials (service accounts) via login.pinecone.io/oauth/token, passing a Bearer token to api.pinecone.io/admin (Enterprise). Stacksync manages authentication, retries, and rate limits on both sides.
Pinecone: Data-plane rate limits are 100 req/s per namespace for query, upsert, update, and delete, 100 req/s per index for fetch, and 200 req/s per index for list, returning HTTP 429 on breach. Gladly: Customer profiles are built to merge external identifiers (email, phone, order numbers), which is what integrations key on when matching records from other systems. Stacksync's field mapping accounts for these differences between Gladly and Pinecone without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Gladly and Pinecone records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Gladly and Pinecone connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Gladly–Pinecone integration in-house.
As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 384 integrations available for Gladly and Pinecone.