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Startups looking to integrate public data APIs have no criteria to determine which of 2,000+ APIs are stable and high-quality, resulting in a 35% post-adoption service disruption rate due to API instability. On the provider side, government agencies also lack objective measures of their own API quality, making it difficult to prioritize improvements.
Automatically measures public data API response speed, availability, documentation quality, and data freshness, assigning grades (A–F) and issuing certification badges. Core features: (1) automated API quality measurement (response time, uptime, error rate, documentation completeness), (2) grade-based certification badges and quality reports, (3) quality improvement recommendation dashboard for API provider agencies.
| N Novelty | 1-5 | How uncommon the service is in market context. |
| U Urgency | 1-5 | How urgently users need this problem solved now. |
| M Market | 1-5 | Market size and growth potential from proxy indicators. |
| R Realizability | 1-5 | Buildability for a small team with realistic constraints. |
| V Validation | 1-5 | Validation signal quality from competition and demand data. |
| Tech Complexity | / 40 | Difficulty of core implementation stack. |
| Data Availability | / 25 | Practical availability and cost of required data. |
| MVP Timeline | / 20 | Expected time to ship a usable MVP. |
| API Bonus | / 15 | Bonus for viable public API leverage. |
| Competition | / 20 | Signal quality from competitor landscape. |
| Market Demand | / 20 | Demand proxies from search and mention patterns. |
| Timing | / 20 | Fit with current shifts in tech, behavior, and regulation. |
| Revenue Signals | / 15 | Reference evidence for monetization viability. |
| Pick-Axe Fit | / 15 | How well the concept serves participants in a trend. |
| Solo Buildability | / 10 | Practicality for lean-team implementation. |