Transparency Report

1. Data Flow Architecture

The following diagram shows the complete path a telemetry record takes from a FORGE deployment to a published cluster report. Each stage is described in detail below the diagram.

Stage Details

Step 1 — Deployment

When a repair loop fails, the engine passes structural metadata to the telemetry subsystem, which constructs a FailureRecord. Anonymization is applied immediately: timestamp rounding, content length bucketing, opaque deployment ID hashing, and SimHash fingerprinting from abstract structural features. The telemetry module has no access to content data.

Step 2 — Worker

The record is serialized to JSON and transmitted via HTTPS POST to https://telemetry.fixpointforge.report/v1/ingest. The Cloudflare Worker validates the schema and rejects malformed requests. No IP addresses or request headers are logged.

Step 3 — R2 Storage

Valid records are written to a private Cloudflare R2 bucket with AES-256 encryption at rest. No public URL exists. Access is restricted to FORGE maintainers via Cloudflare account credentials. Records carry a 90-day TTL.

Step 4 — Analyzer

The failure analyzer groups records by SimHash distance into clusters, computes statistical distributions, and generates representative structural patterns. After aggregation, all individual records from the batch are permanently deleted from R2.

Step 5 — Public Report

Aggregate summaries are published on this page and committed to the FORGE repository under forge/telemetry/reports/. No individual records, deployment identifiers, or attributable data is included.

2. What Happens with the Data

The telemetry data serves three concrete purposes, all oriented toward improving FORGE's reliability and effectiveness:

Failure Clustering

SimHash fingerprints group structurally similar failures. Clustering uses Hamming distance — records within a configurable threshold form a cluster with a unique ID and a representative structural pattern derived from the centroid.

Failure Ranking

Clusters are ranked by frequency and severity. A cluster with 500 oscillation failures across dozens of deployments is prioritized over 3 parse errors from a single deployment. This ranking directly drives the maintainer team's development priorities.

Reproducibility Specs

For high-priority clusters, the analyzer generates abstract reproducibility specifications — content type, approximate size, structural shape parameters, lane configuration, and iteration behavior. Maintainers use these to construct synthetic test cases without any real user data.

3. How Improvements are Made

The telemetry-to-improvement pipeline follows a systematic process:

1. Cluster analysis — Identify the most frequent and severe failure patterns
2. Root cause investigation — Examine cluster characteristics to hypothesize why the repair loop fails for that pattern
3. Synthetic test construction — Build synthetic inputs from structural parameters (no user data used)
4. Fix implementation — Lane ordering, convergence heuristics, budget adjustments, or parser improvements
5. Verification — Verify against synthetic tests and the full regression suite
6. Release — Ship the fix; update the cluster report to track whether the pattern recedes

4. What Gets Published

Cluster reports are published in JSON format. Each report covers a defined time period and contains only aggregate statistical data. Here is an example of the report format:

{
  "report_period": "2026-Q1",
  "generated_at": "2026-03-31T00:00:00Z",
  "total_records_analyzed": 1842,
  "total_records_deleted": 1842,   // all individual records purged after aggregation
  "forge_versions": ["0.3.0", "0.3.1", "0.4.0", "0.4.1"],
  "clusters": [
    {
      "cluster_id": "c1a2b3",
      "record_count": 412,
      "unique_deployments": 87,
      "failure_class_distribution": {
        "oscillation": 0.61,
        "max_iterations": 0.31,
        "budget_exceeded": 0.08
      },
      "content_type_distribution": {
        "diff": 0.74,
        "json": 0.18,
        "text": 0.08
      },
      "content_length_bucket_distribution": {
        "small": 0.42,
        "medium": 0.51,
        "large": 0.07
      },
      "median_iteration_count": 8,
      "oscillation_detected_rate": 0.61,
      "top_lanes_failed": ["structural_validator", "schema_enforcer"],
      "representative_shape": {
        "type": "diff",
        "hunk_count_range": [3, 12],
        "max_nesting_depth": 2
      }
    }
  ]
}

What is NOT Published

• Individual FailureRecords — raw records are never published; only statistical summaries
• Deployment identifiers — opaque deployment_id hashes are not included in reports
• Individual record IDs — no record_id values appear in published reports
• Timestamps of individual records — only aggregate time ranges (e.g., "Q1 2026")
• Lane configurations — only the names of failed lanes, not full pipeline configurations

5. Audit Trail

Every component of the FORGE telemetry system is open source. You can independently verify every claim made on this page and in the Privacy Policy by reading the implementation.

6. Live Stats

The following statistics will be populated with real data once the telemetry system has accumulated sufficient records for meaningful aggregation. All values shown are aggregate counts — no individual records or identifiers are exposed.

Live Telemetry Feed

The following data is fetched live from the FORGE telemetry API. Subscribe to the Atom feed to receive updates on new failure clusters.

API Endpoints

7. Publication Roadmap

Reports will be published according to the following schedule once data collection reaches meaningful volume:

• ✓

  Telemetry infrastructure deployed

  Cloudflare Worker and R2 storage bucket are operational. The FailureRecord schema is finalized. The upload client is integrated into the FORGE library. Records are being collected from opted-in deployments.

• ○

  First cluster analysis run

  When sufficient records have accumulated (target: 1,000+ records from 50+ unique deployments), the first clustering analysis will be performed and validated by the maintainer team.

• ○

  Reports published on this page

  Aggregate cluster reports will appear in the Live Stats section above and as downloadable JSON. Individual records will be permanently deleted at this point — only aggregates remain.

• ○

  Reports committed to FORGE repository

  When FORGE goes public, reports will be committed to the repo under forge/telemetry/reports/.

8. Source Code

The entire telemetry system — data collection, record construction, worker endpoint, and analysis tooling — is open source. Review the implementation to independently verify every claim made in this transparency report and the Privacy Policy.