Ranked by what each change is worth on the composite — the gap to the next rung of the ladder times the dimension’s weight. Computed from the scores, not written by the model; the model’s sentence under each is the action.
Use a concrete product noun in the headline, e.g., 'API for real-world AI data and tools'.
Add a measurable outcome or a concrete capability with a number, e.g., 'Access real-world data via API for 100+ sources'.
Remove abstract terms and describe a tangible product feature.
All three together: 60 → 71. Every dimension one rung up: 75 (grade B). Ceiling is 95.
Built only from facts already on the page — not the company’s words. Shown so the gap between what was written and what could have been written is concrete rather than a number.
Five alternative headlines in five angles, a subhead, a call-to-action line, and a line-by-line edit for each of the five dimensions — written only from facts already on mireye.ai, gated like a rating (anything with a struck word is dropped, not sold). Delivered on a private page in about a minute.
Five dimensions on one ladder — 5 · 20 · 35 · 50 · 65 · 80 · 95 — weighted clarity 30%, specificity 20%, jargon 20%, proof 15%, call to action 15%. For each: the rung the page matched, the words that drove it, and what would reach the next rung. Full rubric →
The headline uses an abstraction word (“Infrastructure”), not a concrete product noun.
Mireye | Infrastructure for Physical World AI Agents
Next rungUse a concrete product noun in the headline, e.g., 'API for real-world AI data and tools'.
No numbers tied to outcomes; there are mechanisms and capabilities but few measurable claims.
Scored from the page as a whole; no single line was cited.
Next rungAdd a measurable outcome or a concrete capability with a number, e.g., 'Access real-world data via API for 100+ sources'.
Headline contains the abstraction word 'Infrastructure' which is flagged as jargon.
Infrastructure
Next rungRemove abstract terms and describe a tangible product feature.
Names of agencies appear, but there are no quantified proofs or customer metrics.
USGS FEMA NOAA USDA EPA EIA FCC CENSUS
Next rungProvide a named customer case with a metric or a public numeric claim.
Top-page CTAs are clearly present: 'Sign up' and 'Book a Demo', matching the promise.
Sign up Book a Demo
Next rungEnsure the CTA explicitly aligns with a specific, single next step under a concrete claim.
Mireye | Infrastructure for Physical World AI AgentsShows abstraction in the headline, limiting clarity.
One API for data, enrichment, tools and signals.Contains a concrete product noun (API) but the surrounding phrasing remains abstract.
Mireye | Infrastructure for Physical World AI Agents Backed by Combinator Physical world context for AI agents One API for data, enrichment, tools and signals. Sign up Book a Demo Every value cited USGS FEMA NOAA USDA EPA EIA FCC CENSUS NREL USFWS USFS FHWA FAA BTS USACE BLM HUD FHFA BLS NSIDC OVERTURE PARCEL RECORDS JRC SENTINEL-2 Power your agents to make decisions about the physical world Without Mireye What's the elevation at 40.7128, -74.006? Claude I don't have real-time access to elevation databases. Based on general knowledge, the area near 40.7128, -74.006 (Manhattan, NYC) has elevations ranging from roughly sea level to about 10 to 50 meters depending on the specific location. Would you like me to suggest some online tools for looking up precise elevation? No source. No timestamp. Estimated range. With Mireye live · captured 2026-07-28 What's the elevation at 40.7128, -74.006? Claude, powered by Mireye The elevation at 40.7128, -74.006 is 13.03 meters above sea level (NAVD88 datum). elevation = 13.03 meters source = USGS_3DEP_COG fetched = 2026-07-28 confidence = medium Federal source, clickable URL, fetched timestamp, confidence. One API to connect your agents to physical world data, enrichment, tools and signals AI agents — Claude, ChatGPT, Kimi, Gemini, Cursor, Grok, Copilot, DeepSeek, or custom agents — ask Mireye through one API with MCP tools. Mireye returns cited data, enrichment, proprietary fields, signals and tools, indexed from the physical
Strongest: Call to action 80. Weakest: Clarity 50. The 4 passes disagreed by 22 points, so treat this score as contested.
Badges are issued to grades A and B. The share card for this page shows the headline with its jargon struck through; paste the URL anywhere that unfurls links.
Scored from the live homepage
on 2026-10-10 by gpt-5-nano,
4 independent passes, median taken.
Page snapshot 61e6718356a8.
Rubric 5abbca9a (current; what it says).
No person reviewed or edited this score. If the rubric and the score disagree, the rubric wins
and the page is re-scored — not hand-corrected.
Re-scored when the homepage text changes.