For decades, corporations have known everything about your spending while you knew nothing about their pricing. CCI is a civic software framework that inverts that asymmetry — a privacy-shielded network that detects predatory price extraction in real time and answers it with automated financial and legal counter-force.
Every price you see is the output of a machine that knows your income bracket, your purchase history, your willingness to pay, and the exact moment your need becomes urgent. You see one number. The machine sees all of them. That gap — asymmetric information — is not a flaw in the market; for the party that holds it, it is the product.
CCI is built on a single inversion: if a thousand residents pool what each of them sees, the crowd's combined view becomes sharper than any single corporation's. No individual shopper can tell whether a price spike is a real supply shock or a fabricated one. A network watching ten thousand transactions a minute can tell instantly. The asymmetry flips. The crowd becomes the party that knows more.
The engineering problem is that pooling that data is exactly what makes a population vulnerable — to breaches, to sale, to subpoena. So the system's first job is to gather collective intelligence without ever holding collectible data. Everything else depends on getting that right.
A fair price moves when its costs move. When the price of bread climbs because wheat, fuel, and labor climbed, that is the market working. CCI ignores it. What the system hunts for is the opposite signature: a price that climbs while every underlying cost stays flat. That divergence has a name — the synthetic surge — and it is the fingerprint of extraction.
The same clustering logic catches coordination. Genuine competitors move their prices at different moments, by different amounts, reacting to their own costs. When three nominally rival stores raise the price of bread by the identical amount within the identical hour, that synchronization is statistically almost impossible by chance — and the algorithm flags it as a collusion signature.
Civic duty does not scale. A surveillance-grade detection network needs constant, high-volume data, and that only comes from software people open because it pays them to. So CCI hides the collective mission inside an individual weapon: a personal financial guard that puts money back in your pocket today, while quietly powering the intelligence that takes on the corporation tomorrow.
Scan an item and the app checks it against the verified Global Fair Price Index instantly. Pay too much, and it tells you — and where to go instead.
When a surge violates posted city policy, the app drafts a one-tap refund. The work of contesting extraction drops from hours of forms to a single thumb.
Modeled savings of $50–$100/month Modeled are designed to drive high retention — and every retained user is another live sensor on the network. Self-interest funds the commons.
Each user joins to save themselves money. Together, without trying, they build the case.
The system is designed so that the operator — a city, a university, a trust — cannot surrender what it does not hold. Rather than uploading your receipt, your phone runs the check locally and transmits only a cryptographic verdict: a proof of fact, carrying no image, no name, no card number.
A single node protects a neighborhood. Networked nodes protect a country — by sharing patterns, not people.
| Mechanism | What moves between cities | Outcome |
|---|---|---|
| Federated learning | Only the mathematical shape of an extraction event — never a transaction. | A surge fingerprinted in Seattle primes the Austin node to watch for the same shape. |
| The legal API | Anonymized, aggregated anomaly clusters. | Findings auto-format into evidence packets for class-action firms. Aspirational |
| The market reset | Nothing — corporate algorithms simply begin detecting the network's presence. | Extraction starts triggering automatic counter-force, so it stops being profitable. Modeled |
A manifesto that hides its own limits is just marketing. Selling this vision honestly means stating plainly where the engineering is solid, where the claims are projections, and where the law constrains what software can promise.
ZKPs and DIDs are real and powerful: they genuinely let the system avoid holding names or receipts, so there is far less to surrender. But "the city physically cannot comply" overstates it. Metadata, network logs, app-store records, and device fingerprints can persist outside the proof layer, and courts can compel what exists. The honest claim is radical data minimization — holding so little that a subpoena returns little of value — not legal invulnerability.
Identical synchronized price moves are a strong statistical signal worth investigating. They are not, by themselves, legal proof of collusion — parallel pricing can have innocent explanations, and antitrust law requires evidence of agreement. CCI's job is to surface the anomaly for human and legal scrutiny, not to render the judgment.
The $50–100/month savings, the 90% retention, the 98% price reduction — these are design targets and forecasts, not measured results from a deployed system. They describe what the incentive model aims for, and they should be tested against a real pilot before being repeated as fact.
Any detection system invites evasion: staggered price moves, noise injection, fake "cost" signals. CCI is not a one-time checkmate but an ongoing contest. Its advantage is structural — many eyes, shared patterns — but the advantage has to be defended continuously. That is, after all, what the first word in its name is for.
CCI does not ask the market to behave, and it does not wait for a regulator to act. It removes the darkness the extraction depends on. When every acute, unjustified price hike is met — automatically — with a refund request, a cheaper alternative, and a data point in a building legal case, the cost of extraction rises until fairness becomes the only profitable strategy left. Not a plea for a fairer economy. A mechanism that makes the unfair one stop paying.