Strale

@strale list all capabilities in the 'data-enrichment' category and show me which ones have free tiers available

Found 8 data-enrichment capabilities in the Strale catalog. Free-tier options: 'email-validation' (100 requests/month), 'company-lookup' (50 requests/month), and 'phone-verification' (25 requests/month). Paid capabilities include 'advanced-firmographics' (€0.12/request), 'technographic-scan' (€0.18/request), and 'contact-enrichment' (€0.09/request). Each capability includes execution input schema and current pricing. This is an illustrative summary — actual catalog state depends on Strale's live offerings.

This example demonstrates catalog discovery without spending credits. The MCP returns pricing in EUR cents and flags free-tier eligibility, helping teams budget before execution. Note that capability availability and pricing may change; always verify current rates before building workflows that depend on specific costs.

@strale run the 'email-validation' capability on these 15 addresses from our signup form and return the deliverability scores

Executed 'email-validation' capability 15 times. Results: 11 deliverable (score ≥0.85), 2 risky (score 0.50-0.84), 2 invalid (bounced syntax). Total cost: €1.35 (€0.09/validation). Execution IDs logged to your account history. Wallet balance after run: €48.65 remaining. This illustrative example shows a batch validation workflow — actual output includes per-address scores, risk flags, and audit provenance for each execution.

This write-heavy example shows Strale executing a paid capability and debiting the connected wallet in real time. Each execution generates a transaction ID and audit trail. Users must monitor wallet balance before large batch runs — the MCP does not prevent overdraft, and failed executions may still incur partial charges depending on the capability's billing model.

@strale pull my last 30 executions, group them by capability, calculate total spend per capability, and identify which one had the highest average latency

Retrieved 30 executions from the past 7 days. Spend by capability: 'company-lookup' €8.40 (12 runs), 'email-validation' €5.85 (15 runs), 'phone-verification' €1.20 (3 runs). Highest average latency: 'company-lookup' at 2,847ms per execution (likely due to third-party data source delays). 'email-validation' averaged 340ms. All executions succeeded; no errors or retries logged. This synthesis combines execution history with pricing and performance metadata to surface optimization opportunities.

This example pairs the MCP's list-executions tool with AI reasoning to audit usage patterns and cost drivers. It showcases how teams can identify expensive or slow capabilities before scaling workflows. The MCP returns raw execution logs; the AI performs aggregation and analysis. Execution history is scoped to the authenticated account — cross-team visibility requires separate API keys.

When your SaaS needs per-customer AI spend visibility

A 6-person B2B SaaS team ships AI features but can't attribute OpenAI costs to individual customers. Strale's execution history and wallet transaction tools let you tag each capability run with a customer ID, then pull monthly spend reports grouped by account. The Get Execution and List Executions tools surface latency and error rates alongside EUR pricing, so you can spot which customers hammer expensive capabilities or hit rate limits. This works cleanly if you route AI calls through Strale's catalog instead of direct vendor APIs. If you already have a multi-tenant metering system or use AWS Cost Explorer tags, Strale adds a second ledger you don't need. Best fit: teams launching AI features who want cost guardrails before scaling to hundreds of customers.

When you're choosing between OCR or translation vendors

A 3-person fintech startup needs document OCR but hasn't committed to a vendor. Strale's capability catalog lists competing OCR services with live EUR pricing and free-tier limits. The List Capabilities and Get Capability tools let you filter by task type, compare input schemas, and test execution without signing separate contracts. You run 50 sample invoices through three vendors in one afternoon, then check List Executions for accuracy and cost per page. This scenario wins if you're evaluating 2-4 vendors for the same capability and want a unified billing ledger. It loses if you need sub-100ms latency or already negotiated enterprise pricing with a single vendor. Best move: prototype with Strale, then migrate to direct integration once you pick a winner.

When you're shipping an AI MVP on a fixed runway

A solo founder building a legal-doc chatbot has 6 months of runway and no finance team. Strale's Get Wallet Balance tool surfaces available EUR credits before each capability run, so you can gate expensive embeddings or summarization calls when the balance drops below a threshold. List Wallet Transactions gives you a daily spend log without parsing Stripe invoices or cloud billing CSVs. The Get Solution tool shows bundled multi-step workflows with upfront pricing, so you know a 'contract analysis' solution costs €0.12 before the user clicks submit. This setup works for MVPs under 500 users where AI cost is material but not yet optimized. Once you hit product-market fit and need per-feature margin analysis, you'll want a real data warehouse. Ship fast now, migrate ledger data later.