Seekora scores every SaaS tool pair on a 0-100 scale across seven risk dimensions, then automatically suggests middleware repairs when integrations fall short.
Integration Score
Stripe → HubSpot
7 Risk Dimensions
Fully Explainable
Every integration you adopt carries invisible risks: data loss, rate-limit squeezes, auth mismatches, escalating costs, and sync failures. Most teams discover these problems only after committing months of engineering effort. Seekora surfaces them instantly.
73%
of SaaS integrations hit at least one critical friction point within 6 months
4.2x
the engineering cost to fix integration issues after commitment vs. before
7
independent risk dimensions analyzed for every tool pair by Seekora
How it works
Select any two SaaS tools. Seekora scores the integration, explains every penalty, and suggests repairs.
Select any source and target tool from our database. Seekora checks for documented integrations first, then infers compatibility using Tool DNA profiles.
Receive a 0-100 Integration Confidence Score with a transparent penalty breakdown across seven risk dimensions. Every deduction is explained.
If the score falls below the safety threshold, Seekora's Repair Engine recommends middleware tools that resolve specific clash types and improve the score.
The Engine Stack
Seekora's scoring pipeline combines documented data, inferred compatibility, and automated repair into a single actionable result.
Deterministic, penalty-based scoring. Starts at 100 and deducts points across integration depth, sync quality, scalability, reliability, cost, data integrity, and confidence level. Produces Safe, Conditional, or Risky verdicts.
When no documented integration exists, IIE infers compatibility from Tool DNA. Runs functional gates, object clash analysis, and DNA clash detection to produce a realistic score capped at 85.
When a direct A-to-B score falls below 70 or has critical risk flags, IRE tests middleware candidates (Zapier, Make, n8n, etc.), ranks them by repairability, and shows the best integration path.
Features
Evaluate integration depth, sync quality, scalability, reliability, cost, data integrity, and confidence level in one score.
No documented integration? IIE uses Tool DNA profiles - API protocols, auth types, data formats - to infer a realistic score.
IRE identifies middleware tools that resolve specific clash types like protocol gaps, auth mismatches, and rate-limit squeezes.
Every tool is profiled with outbound/inbound mechanisms, data formats, auth requirements, rate limits, and API access plans.
Automatically detect protocol gaps, push/pull mismatches, auth conflicts, object clashes, and rate-limit squeezes between tools.
Every point deducted is explained. No black-box models. See exactly which risk dimension drives the score and by how much.
Repair Engine
The Integration Repair Engine identifies the specific clash types causing a low score, then tests every compatible middleware tool to find the optimal repair path. Each alternative is ranked by capability match, operational friction, cost fit, and resulting score.
Webhook-to-polling mismatches resolved with poller proxies
OAuth vs API-key conflicts bridged with token storage
Burst-limited APIs buffered with queue middleware
Incompatible data models mapped through transformation engines
Direct Integration
Shopify → Salesforce
48
RiskyRepaired Integration
Shopify → Make → Salesforce
76
ConditionalScore improved by +28 points · Complexity tax: -5 · New risks: additional latency, single point of failure
Verdict System
Every score maps to a verdict that tells you exactly what to do next.
80-100
Go ahead with confidence. Integration is production-ready.
60-79
Proceed with caution. Review specific risk areas flagged.
50-59
Significant risks detected. Middleware repair recommended.
0-49
Critical issues found. Consider alternative tool pairings.
Know the real risk of every SaaS integration before you wire a single webhook. Seekora gives you the clarity your team needs to build a reliable, scalable stack.