AISpendGuard

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AISpendGuard vs Respan

Respan raised $5M to build “proactive observability.” We find your AI waste without ever seeing your prompts.

FeatureAISpendGuardRespan
Stores prompts✗Yes (full execution traces)
Waste detection with $/mo savings✓✗
Cost attribution by feature✓✓
Proactive recommendationsCost-focused: wrong model, missing cachingQuality-focused: regressions, fixes
Monitoring dashboards✓80+ graph types
Full execution traces✗✓
Automated eval agent✗✓
Prompt management✗Approval workflows
A/B testing✗✓
Multi-provider support✓✓
Budget alerts✓✓
GDPR-compliant by designTags only — no prompt data to breachPolicy-based (stores prompts, you manage DPA)
EUR pricing€19/mo flatUSD only
Free tier50K events/moPro $0/mo (100K logs, 1K scores, 5 datasets)
LangChain integrationPython + JS✓
LiteLLM integration✓Unknown
CrewAI integration✓✓
OpenTelemetry support✓Unknown
Paid tier€19/mo Pro (500K events)$249/mo Team (SOC 2, private Slack)

Privacy Architecture

Respan stores full execution traces: messages, tool calls, routing decisions, memory state, and environment context. This enables debugging and automated evaluation but means your AI data — potentially including user PII, proprietary prompts, and sensitive outputs — is stored on Respan’s servers.

AISpendGuard never sees your prompts. Our SDK sends only tags: model name, token counts, cost, and your custom labels (feature, customer, plan tier). GDPR compliance is architectural — there’s no prompt data to breach, subpoena, or leak.

Different "Proactive" Approaches

Both products claim proactive recommendations, but they solve different problems:

Respan: “Your model is regressing on quality. Here’s a fix.” — Quality/reliability focus.

AISpendGuard: “Your classify tasks use GPT-4o. Switch to GPT-4o-mini and save $43/mo.” — Cost focus.

If your problem is “my AI output quality is degrading,” Respan is better. If your problem is “my AI bill is too high and I don’t know why,” AISpendGuard is better.

Funding and Acquisition Risk

Respan just raised $5M from Google’s Gradient Ventures. This brings marketing resources but also pressure to grow into enterprise and justify the valuation. The Keywords AI → Respan rebrand already signals a shift upmarket.

Helicone (YC, $5M raised) → acquired by Mintlify, now in maintenance mode. Langfuse (YC, $4.5M raised) → acquired by ClickHouse. Humanloop → acquired by Anthropic.

AISpendGuard is bootstrapped. No investor pressure to pivot. No acquisition risk. The product stays focused on what indie founders need: cost control, not enterprise observability.

For Teams Migrating from Helicone

If you’re leaving Helicone after the Mintlify acquisition, the choice depends on what you used Helicone for:

Used Helicone for debugging + observability → Consider Respan or Langfuse.

Used Helicone mainly for cost tracking → AISpendGuard is simpler, cheaper, and doesn’t store your prompts.

Want to avoid another acquisition disruption → AISpendGuard is bootstrapped with no investor pressure.

When to Choose Respan

  • You need full execution traces for debugging AI behavior
  • You need automated evaluation to catch quality regressions
  • You need prompt management with approval workflows
  • You want a Google-backed platform with growing enterprise features
  • Prompt storage isn’t a concern for your use case
  • You’re willing to pay enterprise pricing as Respan scales up

When to Choose AISpendGuard

  • You need GDPR compliance without prompt storage — architecturally guaranteed
  • You want cost-focused waste detection — not quality evals, but $/mo savings recommendations
  • You want predictable flat pricing (€19/mo, no per-seat)
  • You value independence — no VC pressure, no acquisition risk
  • You use LangChain, LiteLLM, or CrewAI (native integrations)
  • You want EUR pricing and EU-hosted infrastructure
  • You’re an indie founder or small team focused on controlling AI spend

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