Housekeeping Leak

a multi-tenant satellite: one tenant spying on another through housekeeping, SIGINT within the terms of service!
Attitude precision
research commercial coarse redacted
▼ scroll for verdict
This pass might sell for $16,700. Every decimal place of housekeeping precision is a security decision.

A modern shared satellite bus needs to report its own health to every tenant: bus voltage, radiator temperatures, and — crucially — the attitude quaternion. A tenant that points its payload at Kaliningrad has just told every other tenant on board that it pointed at Kaliningrad, at 4 Hz, in double-precision floats.

Coarsen the reported attitude and the pointing footprint blurs. Coarsen it enough and the ellipse contains three countries — a fact of no commercial value. Somewhere between those extremes lies the operator's disclosure policy.

Source: OSM coordinates; Maxar/Planet public pricing; BCT star tracker specs. This is a toy, not a simulation — the world map is Equirectangular and the orbit is a great-circle approximation.

Assumptions & math — how the very fictional dollar figures are computed

Physical constants

Attitude precision — slider range

Geometry — footprint radius on the ground

slant_range = √((R+h)² + R² − 2(R+h)·R·cos(d/R))
footprint_radius = slant_range × tan(σ)

Here d is the great-circle distance from the sub-satellite point to the target. Overhead (d≈0) the slant range is ~550 km; near the horizon of the pass it grows past 1,500 km, so the same σ paints a bigger ellipse — the ellipse visibly breathes across a 5-minute window.

The drawn ellipse is amplified when the true radius is sub-pixel (small radii are boosted logarithmically so slider changes stay legible). When amplification is active a "true X m · amplified" tag appears below the target.

Intelligence pricing — where the dollars come from

Two public anchors:

The base value of each preset is the pass's worth if the ellipse resolves exactly one named target. Ambiguity divides that value linearly by the number of candidates the ellipse contains:

earned = base_value / max(1, POIs_in_ellipse)

Base values per preset

PresetBaseReasoning
Kaliningrad $50,000 Baltic SIGINT on a single-power exclave: valuable but not multilateral. Roughly 20× the commercial-imagery equivalent for the same km².
Kraków $3,000 Optical imagery of a Central-European city with no unique military installation — priced near the raw Maxar rate, no premium.
Djibouti $100,000 Highest base in the set: US, French, Japanese, and Chinese bases visibly co-located within ~5 km. Multilateral SIGINT posture, at the ceiling of the 10×–100× premium.
Kerch $30,000 Bridge / port / ferry traffic monitoring in an active conflict zone. Between Kraków-tier optical and Kaliningrad-tier SIGINT.
Diego Garcia $75,000 Fleet-monitoring intelligence on a strategic pre-positioning anchorage. Below Djibouti (single power) but above Kaliningrad (isolated atoll magnifies signal because nothing else is nearby to confuse it).
Idle $0 The attitude channel only leaks when the payload asks it to. Non-collection passes leak nothing worth pricing.

Worked example — Djibouti pass across the slider

Assume the satellite is at closest approach (slant ≈ 550 km) and pointed at the aim point (11.567°N, 43.130°E) — chosen to sit between the co-located bases so the game is honest. Distances computed with the great-circle formula against the 13 POIs in the Djibouti set.

σFootprint radiusNamed POIs hitDivisorEarned
0.001° (research-plus)9.6 m0max(1,0)=1$100,000
0.01° (commercial)96 m0max(1,0)=1$100,000
0.1°960 m0max(1,0)=1$100,000
1° (coarse)9.6 km88$12,500
10° (redacted)97 km1010$10,000

Two things to notice. First, the value cliff is between 0.1° and 1° — that is exactly where a typical smallsat's cheap fallback attitude sensor lives, and it is where the operator's disclosure policy actually matters. Second, pushing from coarse (1°) to "redacted" (10°) barely helps: the local POI density is already saturated, so the extra ambiguity is not paid for. The illusion of protection collapses quickly.

What this toy is not

These are illustrative anchors, not procurement quotes. Real intelligence pricing is bilateral, classified, and non-linear. The value of housekeeping-leak intelligence is bounded above by the imagery / SIGINT prices cited here — no one pays more for a leaked pointing quaternion than for the equivalent primary collection — and the point of the toy is that the leak is priced at $0 today.
The world map is Equirectangular; the orbit is a great-circle approximation with constant altitude. Sub-satellite ground speed is a two-endpoint interpolation, not a Kepler propagation. None of these simplifications change the argument, which depends only on σ × slant → footprint and on the density of named targets.