Claude AI

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Port's Claude AI integration allows you to ingest Claude usage, cost, and Claude Code analytics metrics into your software catalog.

Supported resources claude-usage-recordclaude-cost-recordclaude-code-analytics

Prerequisites

• An Anthropic Admin API key with access to usage and cost reports.
• Your Port user role is set to Admin.

Setup

Choose one of the installation methods below. If you are not sure which option to use, review the installation methods overview.

Configuration

Port integrations use a YAML mapping block to ingest data from the third-party API into Port.

The mapping uses the JQ JSON processor to transform fields and shape incoming Claude data into Port entities.

Default mapping configuration

This is the default mapping configuration for this integration:

Default mapping configuration (Click to expand)

resources:
  - kind: claude-usage-record
    selector:
      query: .results | length > 0
      startingDate: '2026-01-01T00:00:00Z'
      bucketWidth: 1d
      groupBy: []
    port:
      entity:
        mappings:
          identifier: .starting_at[:10] + "-usage"
          title: '"Claude Usage - " + .starting_at[:10]'
          blueprint: '"claude_usage_record"'
          properties:
            record_date: .starting_at
            uncached_input_tokens: (.results[0].uncached_input_tokens // 0)
            output_tokens: (.results[0].output_tokens // 0)
            cache_read_input_tokens: (.results[0].cache_read_input_tokens // 0)
            cache_creation_5m_tokens: (.results[0].cache_creation.ephemeral_5m_input_tokens // 0)
            cache_creation_1h_tokens: (.results[0].cache_creation.ephemeral_1h_input_tokens // 0)
            web_search_requests: (.results[0].server_tool_use.web_search_requests // 0)
  - kind: claude-cost-record
    selector:
      query: .results | length > 0
      startingDate: '2026-01-01T00:00:00Z'
      bucketWidth: 1d
    port:
      entity:
        mappings:
          identifier: .starting_at[:10] + "-cost"
          title: '"Claude Cost - " + .starting_at[:10]'
          blueprint: '"claude_cost_record"'
          properties:
            record_date: .starting_at
            amount: ((.results[0].amount // "0") | tonumber)
            currency: (.results[0].currency // "USD")
  - kind: claude-usage-record
    selector:
      query: .results | length > 0
      startingDate: '2026-01-01T00:00:00Z'
      bucketWidth: 1d
      groupBy:
        - workspace_id
    port:
      itemsToParse: .results
      itemsToParseTopLevelTransform: false
      entity:
        mappings:
          identifier: (.item.workspace_id // "default") + "-" + .starting_at[:10]
          title: (.item.workspace_id // "default") + " - " + .starting_at[:10]
          blueprint: '"claude_workspace_usage"'
          properties:
            record_date: .starting_at
            workspace_id: (.item.workspace_id // "default")
            uncached_input_tokens: (.item.uncached_input_tokens // 0)
            output_tokens: (.item.output_tokens // 0)
            cache_read_input_tokens: (.item.cache_read_input_tokens // 0)
            cache_creation_5m_tokens: (.item.cache_creation.ephemeral_5m_input_tokens // 0)
            cache_creation_1h_tokens: (.item.cache_creation.ephemeral_1h_input_tokens // 0)
            web_search_requests: (.item.server_tool_use.web_search_requests // 0)
  - kind: claude-usage-record
    selector:
      query: .results | length > 0
      startingDate: '2026-01-01T00:00:00Z'
      bucketWidth: 1d
      groupBy:
        - model
    port:
      itemsToParse: .results
      itemsToParseTopLevelTransform: false
      entity:
        mappings:
          identifier: .item.model + "-" + .starting_at[:10]
          title: .item.model + " - " + .starting_at[:10]
          blueprint: '"claude_model_usage"'
          properties:
            record_date: .starting_at
            model: .item.model
            uncached_input_tokens: (.item.uncached_input_tokens // 0)
            output_tokens: (.item.output_tokens // 0)
            cache_read_input_tokens: (.item.cache_read_input_tokens // 0)
            cache_creation_5m_tokens: (.item.cache_creation.ephemeral_5m_input_tokens // 0)
            cache_creation_1h_tokens: (.item.cache_creation.ephemeral_1h_input_tokens // 0)
            web_search_requests: (.item.server_tool_use.web_search_requests // 0)
  - kind: claude-code-analytics
    selector:
      query: 'true'
      startingDate: '2026-01-01'
    port:
      entity:
        mappings:
          identifier: .organization_id + "-" + (.actor.api_key_name // .actor.email // "unknown") + "-" + .date[:10]
          title: (.actor.api_key_name // .actor.email // "unknown") + " - " + .date[:10]
          blueprint: '"claude_code_analytics"'
          properties:
            record_date: .date
            organization_id: .organization_id
            actor_type: .actor.type
            actor_name: (.actor.api_key_name // .actor.email // "unknown")
            terminal_type: .terminal_type
            num_sessions: (.core_metrics.num_sessions // 0)
            lines_added: (.core_metrics.lines_of_code.added // 0)
            lines_removed: (.core_metrics.lines_of_code.removed // 0)
            commits: (.core_metrics.commits_by_claude_code // 0)
            pull_requests: (.core_metrics.pull_requests_by_claude_code // 0)
            edit_tool_accepted: (.tool_actions.edit_tool.accepted // 0)
            edit_tool_rejected: (.tool_actions.edit_tool.rejected // 0)
            write_tool_accepted: (.tool_actions.write_tool.accepted // 0)
            write_tool_rejected: (.tool_actions.write_tool.rejected // 0)
            model_breakdown: .model_breakdown

Advanced selector configuration

• query applies to all Claude resource kinds and defaults to 'true'.
• startingDate is required for claude-usage-record and claude-cost-record. For claude-code-analytics, either startingDate or timeFrame must be provided (mutually exclusive).
• bucketWidth controls time granularity for usage and cost resources.
• groupBy is available for claude-usage-record and lets you break down usage by dimensions.

For claude-usage-record, you can use:

selector:
  query: 'true'
  startingDate: '2026-01-01T00:00:00Z'
  bucketWidth: 1d # supported: 1m | 1h | 1d
  groupBy: [workspace_id]

• startingDate must use ISO-8601 UTC format (YYYY-MM-DDTHH:MM:SSZ).
• bucketWidth supports 1m, 1h, and 1d for usage records.
• groupBy supports dimensions such as api_key_id, workspace_id, context_window, speed, inference_geo, account_id, service_account_id, model, and service_tier.

For claude-cost-record, use:

selector:
  query: 'true'
  startingDate: '2026-01-01T00:00:00Z'
  bucketWidth: 1d

• startingDate must use ISO-8601 UTC format (YYYY-MM-DDTHH:MM:SSZ).
• bucketWidth supports 1d only for cost records in this integration.

For claude-code-analytics, the API returns data for one specific day per call. To control the date window, provide exactly one of the following fields:

Field	Format	Description
timeFrame	number	Number of days to look back from today. The integration calls the API once per day for each of the last N days. Recommended for ongoing syncs.
startingDate	YYYY-MM-DD	Iterates from this date to today, calling the API once per day. Use for historical backfills. A warning is logged and no data is fetched if the date is in the future.

Mutually exclusive

timeFrame and startingDate cannot both be set on claude-code-analytics. Providing neither or both will cause a validation error.

Using timeFrame (recommended for ongoing syncs):

selector:
  query: 'true'
  timeFrame: 30 # fetch the last 30 days, one API call per day

Using startingDate (for a historical backfill):

selector:
  query: 'true'
  startingDate: '2026-01-01' # iterate from this date to today

Mapping & examples per resource

To view and test the integration mapping against sample API responses, use the jq playground in your data sources page.

{
  "identifier": "claude_usage_record",
  "description": "Daily Claude AI API usage metrics",
  "title": "Claude AI Usage Record",
  "icon": "Claude",
  "schema": {
    "properties": {
      "record_date": {
        "type": "string",
        "format": "date-time",
        "title": "Record Date (UTC)"
      },
      "uncached_input_tokens": {
        "type": "number",
        "title": "Uncached Input Tokens"
      },
      "output_tokens": {
        "type": "number",
        "title": "Output Tokens"
      },
      "cache_read_input_tokens": {
        "type": "number",
        "title": "Cache Read Input Tokens"
      },
      "cache_creation_5m_tokens": {
        "type": "number",
        "title": "Cache Creation (5min) Tokens"
      },
      "cache_creation_1h_tokens": {
        "type": "number",
        "title": "Cache Creation (1hr) Tokens"
      },
      "web_search_requests": {
        "type": "number",
        "title": "Web Search Requests"
      }
    },
    "required": [
      "record_date"
    ]
  },
  "mirrorProperties": {},
  "calculationProperties": {
    "total_input_tokens": {
      "title": "Total Input Tokens",
      "description": "Sum of uncached input and cache read tokens",
      "calculation": ".properties.uncached_input_tokens + .properties.cache_read_input_tokens",
      "type": "number"
    },
    "total_tokens": {
      "title": "Total Tokens",
      "description": "Sum of all input and output tokens",
      "calculation": ".properties.uncached_input_tokens + .properties.cache_read_input_tokens + .properties.output_tokens",
      "type": "number"
    }
  },
  "aggregationProperties": {},
  "relations": {}
}

- kind: claude-usage-record
  selector:
    query: .results | length > 0
    startingDate: '2026-01-01T00:00:00Z'
    bucketWidth: 1d
    groupBy: []
  port:
    entity:
      mappings:
        identifier: .starting_at[:10] + "-usage"
        title: '"Claude Usage - " + .starting_at[:10]'
        blueprint: '"claude_usage_record"'
        properties:
          record_date: .starting_at
          uncached_input_tokens: (.results[0].uncached_input_tokens // 0)
          output_tokens: (.results[0].output_tokens // 0)
          cache_read_input_tokens: (.results[0].cache_read_input_tokens // 0)
          cache_creation_5m_tokens: (.results[0].cache_creation.ephemeral_5m_input_tokens // 0)
          cache_creation_1h_tokens: (.results[0].cache_creation.ephemeral_1h_input_tokens // 0)
          web_search_requests: (.results[0].server_tool_use.web_search_requests // 0)

{
  "starting_at": "2026-01-04T00:00:00Z",
  "ending_at": "2026-01-05T00:00:00Z",
  "results": [
    {
      "uncached_input_tokens": 10158,
      "cache_creation": {
        "ephemeral_1h_input_tokens": 0,
        "ephemeral_5m_input_tokens": 183637
      },
      "cache_read_input_tokens": 1207221,
      "output_tokens": 16925,
      "server_tool_use": {
        "web_search_requests": 0
      },
      "api_key_id": null,
      "workspace_id": null,
      "account_id": null,
      "service_account_id": null,
      "model": null,
      "service_tier": null,
      "context_window": null,
      "inference_geo": null
    }
  ]
}

{
  "identifier": "claude_cost_record",
  "description": "Daily cost tracking for Claude API usage",
  "title": "Claude AI Cost Record",
  "icon": "Claude",
  "schema": {
    "properties": {
      "record_date": {
        "type": "string",
        "format": "date-time",
        "title": "Record Date (UTC)"
      },
      "amount": {
        "type": "number",
        "title": "Cost Amount"
      },
      "currency": {
        "type": "string",
        "title": "Currency"
      }
    },
    "required": [
      "record_date"
    ]
  },
  "mirrorProperties": {},
  "calculationProperties": {},
  "aggregationProperties": {},
  "relations": {}
}

- kind: claude-cost-record
  selector:
    query: .results | length > 0
    startingDate: '2026-01-01T00:00:00Z'
    bucketWidth: 1d
  port:
    entity:
      mappings:
        identifier: .starting_at[:10] + "-cost"
        title: '"Claude Cost - " + .starting_at[:10]'
        blueprint: '"claude_cost_record"'
        properties:
          record_date: .starting_at
          amount: ((.results[0].amount // "0") | tonumber)
          currency: (.results[0].currency // "USD")

{
  "starting_at": "2026-01-01T00:00:00Z",
  "ending_at": "2026-01-02T00:00:00Z",
  "results": [
    {
      "currency": "USD",
      "amount": "536.07566",
      "workspace_id": null,
      "description": null,
      "cost_type": null,
      "context_window": null,
      "model": null,
      "service_tier": null,
      "token_type": null,
      "inference_geo": null
    }
  ]
}

{
  "identifier": "claude_workspace_usage",
  "description": "Usage metrics broken down by workspace",
  "title": "Claude AI Workspace Usage",
  "icon": "Claude",
  "schema": {
    "properties": {
      "record_date": {
        "type": "string",
        "format": "date-time",
        "title": "Record Date (UTC)"
      },
      "workspace_id": {
        "type": "string",
        "title": "Workspace ID"
      },
      "uncached_input_tokens": {
        "type": "number",
        "title": "Uncached Input Tokens"
      },
      "output_tokens": {
        "type": "number",
        "title": "Output Tokens"
      },
      "cache_read_input_tokens": {
        "type": "number",
        "title": "Cache Read Input Tokens"
      },
      "cache_creation_5m_tokens": {
        "type": "number",
        "title": "Cache Creation (5min) Tokens"
      },
      "cache_creation_1h_tokens": {
        "type": "number",
        "title": "Cache Creation (1hr) Tokens"
      },
      "web_search_requests": {
        "type": "number",
        "title": "Web Search Requests"
      }
    },
    "required": [
      "record_date",
      "workspace_id"
    ]
  },
  "mirrorProperties": {},
  "calculationProperties": {
    "total_tokens": {
      "title": "Total Tokens",
      "calculation": ".properties.uncached_input_tokens + .properties.cache_read_input_tokens + .properties.output_tokens",
      "type": "number"
    }
  },
  "aggregationProperties": {},
  "relations": {}
}

- kind: claude-usage-record
  selector:
    query: .results | length > 0
    startingDate: '2026-01-01T00:00:00Z'
    bucketWidth: 1d
    groupBy:
      - workspace_id
  port:
    itemsToParse: .results
    itemsToParseTopLevelTransform: false
    entity:
      mappings:
        identifier: (.item.workspace_id // "default") + "-" + .starting_at[:10]
        title: (.item.workspace_id // "default") + " - " + .starting_at[:10]
        blueprint: '"claude_workspace_usage"'
        properties:
          record_date: .starting_at
          workspace_id: (.item.workspace_id // "default")
          uncached_input_tokens: (.item.uncached_input_tokens // 0)
          output_tokens: (.item.output_tokens // 0)
          cache_read_input_tokens: (.item.cache_read_input_tokens // 0)
          cache_creation_5m_tokens: (.item.cache_creation.ephemeral_5m_input_tokens // 0)
          cache_creation_1h_tokens: (.item.cache_creation.ephemeral_1h_input_tokens // 0)
          web_search_requests: (.item.server_tool_use.web_search_requests // 0)

{
  "starting_at": "2026-01-01T00:00:00Z",
  "ending_at": "2026-01-02T00:00:00Z",
  "results": [
    {
      "uncached_input_tokens": 163662,
      "cache_creation": {
        "ephemeral_1h_input_tokens": 0,
        "ephemeral_5m_input_tokens": 229562
      },
      "cache_read_input_tokens": 7287271,
      "output_tokens": 40898,
      "server_tool_use": {
        "web_search_requests": 0
      },
      "api_key_id": null,
      "workspace_id": "wrkspc_01R8i1bkxHiD5qiiY4SrhsRC",
      "account_id": null,
      "service_account_id": null,
      "model": null,
      "service_tier": null,
      "context_window": null,
      "inference_geo": null
    }
  ]
}

{
  "identifier": "claude_model_usage",
  "description": "Usage metrics broken down by Claude model type",
  "title": "Claude AI Model Usage",
  "icon": "Claude",
  "schema": {
    "properties": {
      "record_date": {
        "type": "string",
        "format": "date-time",
        "title": "Record Date (UTC)"
      },
      "model": {
        "type": "string",
        "title": "Model"
      },
      "uncached_input_tokens": {
        "type": "number",
        "title": "Uncached Input Tokens"
      },
      "output_tokens": {
        "type": "number",
        "title": "Output Tokens"
      },
      "cache_read_input_tokens": {
        "type": "number",
        "title": "Cache Read Input Tokens"
      },
      "cache_creation_5m_tokens": {
        "type": "number",
        "title": "Cache Creation (5min) Tokens"
      },
      "cache_creation_1h_tokens": {
        "type": "number",
        "title": "Cache Creation (1hr) Tokens"
      },
      "web_search_requests": {
        "type": "number",
        "title": "Web Search Requests"
      }
    },
    "required": [
      "record_date",
      "model"
    ]
  },
  "mirrorProperties": {},
  "calculationProperties": {
    "total_tokens": {
      "title": "Total Tokens",
      "calculation": ".properties.uncached_input_tokens + .properties.cache_read_input_tokens + .properties.output_tokens",
      "type": "number"
    }
  },
  "aggregationProperties": {},
  "relations": {}
}

- kind: claude-usage-record
  selector:
    query: .results | length > 0
    startingDate: '2026-01-01T00:00:00Z'
    bucketWidth: 1d
    groupBy:
      - model
  port:
    itemsToParse: .results
    itemsToParseTopLevelTransform: false
    entity:
      mappings:
        identifier: .item.model + "-" + .starting_at[:10]
        title: .item.model + " - " + .starting_at[:10]
        blueprint: '"claude_model_usage"'
        properties:
          record_date: .starting_at
          model: .item.model
          uncached_input_tokens: (.item.uncached_input_tokens // 0)
          output_tokens: (.item.output_tokens // 0)
          cache_read_input_tokens: (.item.cache_read_input_tokens // 0)
          cache_creation_5m_tokens: (.item.cache_creation.ephemeral_5m_input_tokens // 0)
          cache_creation_1h_tokens: (.item.cache_creation.ephemeral_1h_input_tokens // 0)
          web_search_requests: (.item.server_tool_use.web_search_requests // 0)

{
  "starting_at": "2026-01-04T00:00:00Z",
  "ending_at": "2026-01-05T00:00:00Z",
  "results": [
    {
      "uncached_input_tokens": 7678,
      "cache_creation": {
        "ephemeral_1h_input_tokens": 0,
        "ephemeral_5m_input_tokens": 35867
      },
      "cache_read_input_tokens": 74329,
      "output_tokens": 2435,
      "server_tool_use": {
        "web_search_requests": 0
      },
      "api_key_id": null,
      "workspace_id": null,
      "account_id": null,
      "service_account_id": null,
      "model": "claude-haiku-4-5-20251001",
      "service_tier": null,
      "context_window": null,
      "inference_geo": null
    },
    {
      "uncached_input_tokens": 1629,
      "cache_creation": {
        "ephemeral_1h_input_tokens": 0,
        "ephemeral_5m_input_tokens": 133486
      },
      "cache_read_input_tokens": 1132892,
      "output_tokens": 14321,
      "server_tool_use": {
        "web_search_requests": 0
      },
      "api_key_id": null,
      "workspace_id": null,
      "account_id": null,
      "service_account_id": null,
      "model": "claude-opus-4-5-20251101",
      "service_tier": null,
      "context_window": null,
      "inference_geo": null
    },
    {
      "uncached_input_tokens": 851,
      "cache_creation": {
        "ephemeral_1h_input_tokens": 0,
        "ephemeral_5m_input_tokens": 14284
      },
      "cache_read_input_tokens": 0,
      "output_tokens": 169,
      "server_tool_use": {
        "web_search_requests": 0
      },
      "api_key_id": null,
      "workspace_id": null,
      "account_id": null,
      "service_account_id": null,
      "model": "claude-sonnet-4-5-20250929",
      "service_tier": null,
      "context_window": null,
      "inference_geo": null
    }
  ]
}

{
  "identifier": "claude_code_analytics",
  "description": "Daily Claude Code usage metrics including sessions, lines of code, commits, and PRs",
  "title": "Claude Code Analytics",
  "icon": "Claude",
  "schema": {
    "properties": {
      "record_date": {
        "type": "string",
        "format": "date-time",
        "title": "Record Date (UTC)"
      },
      "organization_id": {
        "type": "string",
        "title": "Organization ID"
      },
      "actor_type": {
        "type": "string",
        "title": "Actor Type"
      },
      "actor_name": {
        "type": "string",
        "title": "Actor Name"
      },
      "terminal_type": {
        "type": "string",
        "title": "Terminal Type"
      },
      "num_sessions": {
        "type": "number",
        "title": "Sessions"
      },
      "lines_added": {
        "type": "number",
        "title": "Lines Added"
      },
      "lines_removed": {
        "type": "number",
        "title": "Lines Removed"
      },
      "commits": {
        "type": "number",
        "title": "Commits by Claude Code"
      },
      "pull_requests": {
        "type": "number",
        "title": "Pull Requests by Claude Code"
      },
      "edit_tool_accepted": {
        "type": "number",
        "title": "Edit Tool Accepted"
      },
      "edit_tool_rejected": {
        "type": "number",
        "title": "Edit Tool Rejected"
      },
      "write_tool_accepted": {
        "type": "number",
        "title": "Write Tool Accepted"
      },
      "write_tool_rejected": {
        "type": "number",
        "title": "Write Tool Rejected"
      },
      "model_breakdown": {
        "type": "array",
        "title": "Model Breakdown"
      }
    },
    "required": [
      "record_date",
      "organization_id"
    ]
  },
  "mirrorProperties": {},
  "calculationProperties": {
    "total_lines_changed": {
      "title": "Total Lines Changed",
      "calculation": ".properties.lines_added + .properties.lines_removed",
      "type": "number"
    },
    "edit_acceptance_rate": {
      "title": "Edit Acceptance Rate",
      "calculation": "if (.properties.edit_tool_accepted + .properties.edit_tool_rejected) > 0 then (.properties.edit_tool_accepted / (.properties.edit_tool_accepted + .properties.edit_tool_rejected)) * 100 else 0 end",
      "type": "number"
    }
  },
  "aggregationProperties": {},
  "relations": {}
}

- kind: claude-code-analytics
  selector:
    query: 'true'
    startingDate: '2026-01-01'
  port:
    entity:
      mappings:
        identifier: .organization_id + "-" + (.actor.api_key_name // .actor.email // "unknown") + "-" + .date[:10]
        title: (.actor.api_key_name // .actor.email // "unknown") + " - " + .date[:10]
        blueprint: '"claude_code_analytics"'
        properties:
          record_date: .date
          organization_id: .organization_id
          actor_type: .actor.type
          actor_name: (.actor.api_key_name // .actor.email // "unknown")
          terminal_type: .terminal_type
          num_sessions: (.core_metrics.num_sessions // 0)
          lines_added: (.core_metrics.lines_of_code.added // 0)
          lines_removed: (.core_metrics.lines_of_code.removed // 0)
          commits: (.core_metrics.commits_by_claude_code // 0)
          pull_requests: (.core_metrics.pull_requests_by_claude_code // 0)
          edit_tool_accepted: (.tool_actions.edit_tool.accepted // 0)
          edit_tool_rejected: (.tool_actions.edit_tool.rejected // 0)
          write_tool_accepted: (.tool_actions.write_tool.accepted // 0)
          write_tool_rejected: (.tool_actions.write_tool.rejected // 0)
          model_breakdown: .model_breakdown

{
  "date": "2026-01-01T00:00:00Z",
  "actor": {
    "type": "api_actor",
    "api_key_name": "matan-tdd-agent"
  },
  "organization_id": "6d236493-6408-4d45-bc06-c65f19c17ba9",
  "terminal_type": "iTerm.app",
  "customer_type": "api",
  "subscription_type": null,
  "core_metrics": {
    "num_sessions": 1,
    "lines_of_code": {
      "added": 508,
      "removed": 61
    },
    "commits_by_claude_code": 0,
    "pull_requests_by_claude_code": 0
  },
  "tool_actions": {
    "edit_tool": {
      "accepted": 10,
      "rejected": 0
    },
    "multi_edit_tool": {
      "accepted": 0,
      "rejected": 0
    },
    "write_tool": {
      "accepted": 3,
      "rejected": 0
    },
    "notebook_edit_tool": {
      "accepted": 0,
      "rejected": 0
    }
  },
  "model_breakdown": [
    {
      "model": "claude-opus-4-5-20251101",
      "tokens": {
        "input": 1231,
        "output": 2207,
        "cache_read": 0,
        "cache_creation": 0
      },
      "estimated_cost": {
        "currency": "USD",
        "amount": 6
      }
    },
    {
      "model": "claude-opus-4-5",
      "tokens": {
        "input": 12,
        "output": 26406,
        "cache_read": 6494720,
        "cache_creation": 160361
      },
      "estimated_cost": {
        "currency": "USD",
        "amount": 491
      }
    },
    {
      "model": "claude-haiku-4-5-20251001",
      "tokens": {
        "input": 162419,
        "output": 12285,
        "cache_read": 792551,
        "cache_creation": 69201
      },
      "estimated_cost": {
        "currency": "USD",
        "amount": 39
      }
    }
  ]
}

Monitoring and sync status

To learn more about how to monitor and check the sync status of your integration, see the relevant documentation.

Migration guide

If you currently ingest Claude metrics through a custom Ocean integration, migrate to the dedicated Claude AI integration:

1. Create the new Claude AI data source from your data sources page.
2. Copy your existing Claude API credentials into the new integration setup.
3. Move your custom blueprint and mapping configuration into the dedicated integration.
4. Run a sync and validate that records are ingested for all enabled resources.
5. Disable the legacy custom Ocean Claude integration after validation.

Related guide

Visualize Claude metrics