Real-time
Two-way sync
Changes in Clari or Pinecone instantly reflect in both systems. No stale data, no manual imports.
CRM ⇄ AI
Clari to Pinecone integration — real-time, two-way sync
Keep Clari 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.
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Adopted by fast-scaling companies moving mission-critical data in real time
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Migrated from MuleSoft
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Clari and Pinecone
Write what Pinecone computes onto the contacts, accounts, and deals in Clari, and feed Clari's records back into Pinecone, in real time and in both directions.
Pinecone turns data into something a revenue team can act on: scores, classifications, summaries, and embeddings. But the customers those results describe live in Clari, 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 Clari.
Stacksync connects Backups, Index statistics, Indexes, Vectors (records) in Pinecone to Activity (Capture), Account field extensions, Opportunity field extensions, Audit Events in Clari with bi-directional, real-time sync. Records and fields from Clari 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 Clari, 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 Clari stays the record of the customer while Pinecone stays where the computation happens.
Common use cases
- 01 Back up a namespace by exporting its vector ids, values, and metadata to object storage or a database on a schedule using the list and fetch operations.
- 02 Write embeddings and their metadata into a Pinecone index from a Postgres or warehouse table so a semantic-search or RAG feature always queries fresh vectors.
- 03 Stream Audit Events into a reporting database to monitor forecast-submission changes and user activity for compliance.
- 04 Pull Activity (Capture) meetings and emails, mapped to their accounts and opportunities, into a database for coverage and engagement analysis.
Common sync patterns
Where Pinecone scores or ranks records: results on the CRM record
Lead scores, fit ratings, or priority computed in Pinecone land as fields on the matching contact or account in Clari, so reps sort and act on them without leaving the CRM.
Where Pinecone classifies or tags: labels sync onto the record
Categories, sentiment, or intent produced in Pinecone attach to the right contact, account, or deal in Clari, keeping segmentation current as new data arrives.
Where Pinecone indexes records for retrieval: Clari keeps it fresh
Contacts, accounts, and notes from Clari sync into Pinecone as they change, so embeddings or search stay aligned with the live CRM instead of a stale export.
What you can sync between Clari and Pinecone
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.
| Clari objects | Pinecone objects | How this pairing syncs | |
|---|---|---|---|
| Account field extensions External data points written onto Account records through the ingest API in initial or incremental mode; requires an apikey plus a partnerkey. | 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. | Account field extensions is specific to Clari and Namespaces to Pinecone — each maps to any object or custom field on the other side. | |
| Opportunity field extensions Warehouse-computed fields pushed onto Opportunity records via the ingest API; up to 100 records per request or 10MB bulk files. | 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. | Opportunity field extensions is specific to Clari and Collections to Pinecone — each maps to any object or custom field on the other side. | |
| Audit Events User edits and system events exported with filtering by actor, session, and date range; read-only feed for change tracking and compliance. | 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. | Audit Events is specific to Clari and Backups to Pinecone — each maps to any object or custom field on the other side. | |
| Forecast Exported per forecast tab and fiscal period via async jobs; includes submitted forecast calls, updates, manager adjustments, and CRM totals. Read-only. | 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. | Forecast is specific to Clari and Index statistics to Pinecone — each maps to any object or custom field on the other side. | |
| Quota Quota and quota-history values exported alongside forecast data, scoped by fiscal quarter; read-only, useful for warehouse attainment reporting. | 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. | Quota is specific to Clari and Indexes to Pinecone — each maps to any object or custom field on the other side. | |
| Opportunities Retrieved synchronously by ID from GET /opportunity (up to 100 IDs per call) with Clari CRM scoring and field-change history; read-only, mirroring the CRM opportunity Clari sits on. | 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. | Opportunities is specific to Clari and Vectors (records) to Pinecone — each maps to any object or custom field on the other side. |
How changes propagate between Clari and Pinecone
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.
Clari Pinecone Interval-based propagation
DetectionStacksync polls Clari for changes on an incremental schedule, reading only records changed since the previous pass. Polling — reads run as asynchronous export jobs (submit export, poll job status, download results).
DeliveryEach detected change is written to Pinecone through its API, with automatic retries and rate-limit backoff.
Pinecone Clari Interval-based propagation
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 Clari through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Clari: Max 3 concurrent exports and roughly 1000 exports per rolling 30-day org window; ingestion capped at 100 requests/sec per API token.
- Pinecone: Data-plane operations are capped per second: query, upsert, update, and delete at 100 req/s per namespace, fetch at 100 req/s per index, and list at 200 req/s per index; breaches return HTTP 429. Hard request limits also apply: an upsert is max 2 MB or 1000 records, metadata max 40 KB per record, and query top_k up to 10,000 with a 4 MB result cap.
What ships with Clari ⇄ Pinecone
Connect Clari and Pinecone for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Clari–Pinecone connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Clari or Pinecone data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
At scale
Event queues
Handle millions of events per minute without losing a single Clari or Pinecone record.
Observability
Monitoring
Track your Clari ⇄ Pinecone sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Clari and Pinecone.
How the Clari and Pinecone connectors work
Clari
- Integration surface
- REST APIs on api.clari.com - Export API (v4, asynchronous bulk jobs for forecast, quota, activity, and audit) and Ingest API (v2, field extensions); Opportunity reads are synchronous via GET /opportunity
- Authentication
- API token in the apikey header, generated per user in Settings; ingest/partner endpoints also require a partnerkey header, and Copilot endpoints require X-Api-Key and X-Api-Password
- Change detection
- Polling — reads run as asynchronous export jobs (submit export, poll job status, download results); the ingest API supports an incremental mode for regular field updates. No webhooks.
- Capabilities
- read · write
- Rate limits
- Max 3 concurrent exports and roughly 1000 exports per rolling 30-day org window; ingestion capped at 100 requests/sec per API token.
Pinecone
- Integration surface
- 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).
- Change detection
- No webhooks and no native change-data-capture feed. Vectors carry no server-side update timestamp, so Stacksync detects changes by re-reading - paginating vector ids with the list operation (serverless indexes) and fetching by id, or by re-upserting from the source of truth. describe_index_stats bounds a resync with per-namespace counts.
- Capabilities
- read · write
- Rate limits
- Data-plane operations are capped per second: query, upsert, update, and delete at 100 req/s per namespace, fetch at 100 req/s per index, and list at 200 req/s per index; breaches return HTTP 429. Hard request limits also apply: an upsert is max 2 MB or 1000 records, metadata max 40 KB per record, and query top_k up to 10,000 with a 4 MB result cap.
How it works
How to connect Clari to Pinecone — three steps, no code
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.
- 01
Connect your apps
Authenticate Clari 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.
Clari
connected
Pinecone
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Clari 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.
objects · Clari ⇄ PineconeCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Clari PineconeCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Clari and Pinecone integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Clari and Pinecone: authenticate both systems, choose the objects to sync (such as Clari's Account field extensions and Opportunity field extensions), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both Clari and Pinecone. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Clari: Polling — reads run as asynchronous export jobs (submit export, poll job status, download results); the ingest API supports an incremental mode for regular field updates. No webhooks. On Pinecone: No webhooks and no native change-data-capture feed. Vectors carry no server-side update timestamp, so Stacksync detects changes by re-reading - paginating vector ids with the list operation (serverless indexes) and fetching by id, or by re-upserting from the source of truth. describe_index_stats bounds a resync with per-namespace counts. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Pinecone side: Backups, Index statistics, Indexes, Vectors (records), plus custom fields where Pinecone exposes them. On the Clari side: Activity (Capture), Account field extensions, Opportunity field extensions, Audit Events. Stacksync auto-detects both schemas and converts types between the two systems.
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Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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Common patterns for Clari and Pinecone: Where Pinecone scores or ranks records: results on the CRM record; Where Pinecone classifies or tags: labels sync onto the record; Where Pinecone indexes records for retrieval: Clari keeps it fresh. Lead scores, fit ratings, or priority computed in Pinecone land as fields on the matching contact or account in Clari, so reps sort and act on them without leaving the CRM.
SECURITY
Security teams trust Stacksync
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.
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS
SSO & SCIM
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Alerts
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Secure connection options
Securely connects to your systems with:
Related integrations
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