Clari Cost Tuning

Overview

Minimize Clari API overhead: reduce export frequency, cache aggressively, export only needed data types, and monitor usage.

Prerequisites

• An approved consumer inventory and freshness requirement for each report
• Usage telemetry for API calls, export jobs, warehouse loads, and cache age
• Data-owner approval for retention, aggregation, and delivery changes
• A non-production validation path for schedule or payload changes

Instructions

Export Only What You Need

# Full export (6 data types) -- more API load
full_types = ["forecast", "quota", "forecast_updated",
              "adjustment", "crm_total", "crm_closed"]

# Minimal export (2 data types) -- faster and lighter
minimal_types = ["forecast", "crm_closed"]

# Use minimal for dashboards, full for audit/compliance

Optimize Export Frequency

Use Case	Recommended Frequency
Executive dashboard	Daily
Forecast accuracy tracking	Weekly
Compliance audit	Quarterly
Ad-hoc analysis	On demand

Cache to Avoid Redundant Exports

# Cache recent exports (see clari-performance-tuning)
cache = ExportCache(ttl_hours=8)

def smart_export(client, forecast_name, period):
    cached = cache.get(forecast_name, period)
    if cached:
        print(f"Cache hit for {period}")
        return cached

    data = client.export_and_download(forecast_name, period)
    entries = data.get("entries", [])
    cache.set(forecast_name, period, entries)
    return entries

Usage Tracking

class ClariUsageTracker:
    def __init__(self):
        self.api_calls = 0
        self.exports = 0

    def track_call(self):
        self.api_calls += 1

    def track_export(self):
        self.exports += 1

    def report(self) -> dict:
        return {
            "api_calls": self.api_calls,
            "exports": self.exports,
        }

Error Handling

Condition	Response
Consumer needs fresher data than the approved schedule	Obtain owner approval and measure incremental load before changing cadence.
Cache returns an expired or mismatched period	Discard it and run the controlled export path.
Usage spikes or provider throttles	Reduce scope/concurrency and preserve the last certified dataset.
Cost reduction removes an audit-required field	Reject the change until the compliance owner approves an alternative.

Output

Publish a cost-and-usage decision with current and proposed cadence, payload scope, cache policy, observed API/warehouse load, forecast impact, owner, and rollback threshold. Keep business amounts and rep-level data out of the operational report unless the recipient is authorized.

Examples

Move a non-critical dashboard from hourly full exports to daily minimal exports in staging, verify freshness and audit coverage, and compare job count and warehouse cost for a week. Roll back the schedule if the certified data window or required field coverage no longer meets the report contract.

Resources

• Clari Pricing

Next Steps

For architecture patterns, see clari-reference-architecture.