saascode
education & learning·run 280 · Jul 2026

Districtkeep

A K-12 non-human identity governance console that discovers connected agents, binds each to an accountable owner and approved data scope, tracks agreement evidence, and exports dated review records without declaring legal compliance.

Genesis score0.00/10
Make Districtkeep real.0/500
500 more votes and Districtkeep is authorized for build.
0%500 to authorize
Backing is the vote. When an idea crosses 500, we pull it into the build pipeline and ship it for real — the votes decide what gets built next, not an editor.
The case

District technology leaders face a growing agent inventory and privacy-governance burden. Horizontal agent-identity products and a public district directory interface confirm technical feasibility, while no K-12-specific console was found. Districtkeep governs identity and access evidence: discovery, entity match, owner assignment, requested scope, policy review, agreement evidence, approval, credential issuance, observed use, exception, revocation, correction, and district outcome remain separate.

Who pays — and why

A K-12 district technology, security, privacy, data-governance, or procurement team responsible for staff-connected AI tools and student-data access. District size, identity environment, agent count, legal authority, agreement inventory, staffing, procurement cycle, and budget remain unvalidated.

Market signalA district directory provider was observed with a free core district tier and paid services priced per student. That is an identity-platform reference, not evidence for Districtkeep pricing or district demand.Observed market reference, not fixed product pricing
What it unlocks
An inventory separating discovered application, agent identity, publisher claim, district tenant, accountable owner, intended purpose, user population, requested data scope, credential, evidence source, last observation, status, and provenance
A governance case linking agreement version, school-official rationale candidate, privacy and security evidence, qualified interpretation, reviewer decision, approved scope, expiration, renewal, exception, incident, revocation, and correction
A least-privilege workflow separating requested permission, policy evaluation, human approval, credential instruction, provider acknowledgement, observed access, destination readback, drift finding, remediation, and outcome
A dated export showing what the district knew, which evidence and policy version it used, who decided, what was technically enforced, what remained unverified, and what changed later
How Genesis scored it
0.00across seven criteria
tension 6temporal 7blindspot 5buyer 5leverage 8convergence 5why-not 4
8
Asymmetric leverage

Inventory, policy evaluation, evidence versioning, review queues and exports scale through software once source access is verified.

7
Temporal window

Recent district attention to agent identity and AI governance creates a current adoption window.

4
Why nobody did it

Agent discovery, identity normalization, agreement evidence, least privilege, district procurement, and changing privacy rules cross technical and institutional boundaries.

Why it scored well

Confirmed horizontal agent-identity products, a public district directory interface, current district governance concern, and no found K-12-specific console support a differentiated vertical hypothesis.

What's holding it back

The stored score is zero. The original four interfaces were unverified, district role and budget are incomplete, legal claims require qualified interpretation, connected tools may not expose agent-level identity, and long district procurement plus agreement review can dominate the software work.

Signals detected3 sources crossed
SignalAgent-identity vendor review

SignalDistrict identity-platform documentation review

SignalGenesis competitive review

Direction briefdistrictkeep.md
districtkeep.md
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