Srednoff Meta Pixel + CAPI Deduplication Auditor

Meta Pixel + CAPI Deduplication Auditor

Review Meta Pixel and CAPI event matching, deduplication and data-quality evidence.

Two accepted event deliveries are mistaken for two valid purchases, while mismatched identifiers, retry-generated IDs, mixed datasets, inconsistent values, and consent gaps make diagnostics difficult to trust.

Who This Is For

An analytics engineer or ecommerce implementation owner investigating duplicated or missing purchase events across browser Pixel and server-side Conversions API paths.

What You Get

• A standalone, domain-specific agent workflow with decision rules and stop conditions.
• Evidence requirements, structured report guidance and missing-data handling.
• Synthetic worked examples and supporting reference material.
• Optional offline evidence-precheck source where the licensed delivery allows execution; not an automatic artifact scanner.

Expected Deliverables

• identity_contract: business action key, creation/propagation, retry semantics, and distinct-action uniqueness
• event_lineage: browser/server identity, name, destination, timestamps, consent, and artifact references
• coverage_matrix: paired/browser-only/server-only/missing samples with explicit unknowns
• evidence_levels: payload consistency, transport receipts, processing diagnostics, and paid-order truth
• replay_specification: synthetic cases, expected identity behavior, owner policy, and operational documentation recheck
• repair_packet: exact defect scope, proposed change, separate approval, rollback, and required post-fix evidence

How The Workflow Proceeds

1. Define the reviewed action and system boundary: business order/action, browser sender, server sender, target dataset/pixel, consent states, and artifact provenance. Reject raw credentials or personal payloads.
2. Pair supplied browser/server samples using the declared business-action key and inspect exact event name, browser eventID/server event_id, target destination, and timestamp consistency. Mark missing samples as unknown, not an identity pass.
3. Trace identity creation and propagation through checkout, queues, retries, and thank-you-page reloads. Identify ID regeneration, cross-order reuse, and duplicate plugins without assuming the platform will fix application-level identity mistakes.
4. Check value/currency and paid-order semantics across paths; separate tax/refund policies from duplicate counting. A mismatched value requires diagnosis even when event identity is consistent.

The remaining workflow covers validation, failure recovery and an evidence-linked handoff.

Bring These Inputs

• Redacted browser/server event samples for the same synthetic or authorized test actions, including event name, browser eventID, server event_id, dataset/pixel identity, and event/receipt timestamps.
• A business-action identity contract explaining how IDs are created once, shared between paths, persisted across retries, and kept distinct across separate orders.
• Delivery/retry logs and authorized Events Manager/Test Events diagnostic exports, with export times and missing evidence explicitly listed.
• Consent-state and data-minimization design evidence for browser/server paths; no raw personal data, access tokens, or real customer hashes in the package.
• Reporting timezone, currency, VAT/tax and revenue policy, attribution/date basis, conversion lag, and order-status definitions for any Ads-to-order comparison.

Scope And Compatibility

This is a workflow toolkit used by your connected AI agent, not a hosted service, installed API client, autonomous executor or security/compliance certification. You supply the model, authorized tools and project evidence. It does not provide access to advertising, analytics, billing or production accounts. No business outcome or token saving is guaranteed.

Agensi delivery is agent-only. Do not save or export the proprietary source. If local helper execution is unavailable, the agent follows the review workflow and marks the helper NOT_EXECUTED; no local-script execution is promised for this channel.

Validation Transparency

Packaged offline supplied-evidence checks: PASS. Retained synthetic text-response cases: 8/8; scope PASS_SCOPED. These tests are not real-client task trials or marketplace-runtime certification. A documentation-only license clarification followed the exact-text run; this is recorded separately.

Commercial Use And Support

Use project-specific outputs in personal, business and client work under the included Commercial License 1.0. Historical MIT and third-party rights remain unchanged; mandatory marketplace terms prevail. No proprietary source redistribution is included. Publisher: Ivan Srednoff / Srednoff.Agency.

FAQ

Will it make changes automatically? No. Analysis does not authorize spending, publication, deployment or account mutations.

Are examples client results? No. Examples are explicitly synthetic DEMO DATA.

Does it require Srednoff OS? No. The workflow is standalone; external tools and subscriptions are not included.

Is the launch price a proven optimum? No. It is a scoped introductory price informed by comparable offers, not sales forecasts or fake discounts.