US MAP Retail Evidence
Pricing
from $42.50 / 1,000 evidence reports
US MAP Retail Evidence
Process supplied US retail catalog evidence into deterministic MAP, availability, baseline, and review findings.
Pricing
from $42.50 / 1,000 evidence reports
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0.0
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Developer
Tim Zinin
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3 days ago
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US retail catalog and minimum-advertised-price evidence processor for supplied Apify Dataset rows. It produces one deterministic report containing exact-ID evidence, MAP status, seller authorization, availability changes, absence assessments, and review actions that are explicitly not sent.
Quick start
Use exactly one source: inline rows or a buyer Dataset ID.
{"schemaVersion": "1.0","requestId": "auto","watchId": "lego-watch","watchUniverse": ["tcin:16747749"],"rows": [{"adapter": "target","sourceRecordId": "target-16747749","sourceName": "target_probe","observedAt": "2026-08-06T11:03:21.195Z","data": {"tcin": "16747749","upc": "673419233606","productTitle": "LEGO Classic Large Creative Brick Box","brand": "LEGO","price": null,"availability": null,"url": "https://www.target.com/p/example/-/A-16747749"},"mapCents": 2999}],"options": {"maxItems": 100, "explanation": "off", "analysisModel": null}}
This example keeps Target's null price and availability as null. For a
canonical row use adapter: "canonical_rows", one exact identity field, and
the same source metadata. The native mappings are grounded in the committed
probe fixtures for Google Shopping, Amazon, Walmart product detail, and Target.
Only a public USD integer-cent base price can produce below_map; restricted,
member, coupon, non-USD, fractional-cent, and conflicting-variant prices stay
indeterminate.
requestId: "auto" is a task-safe sentinel. On Apify it resolves before input
validation to the trusted actorRunId, so each Actor run has its own delivery
idempotency scope while a replay of that same run never charges twice. Explicit
non-auto IDs keep their existing idempotency behavior. A remote run fails
closed if Apify cannot provide actorRunId; the deterministic fallback exists
only in test mode.
Output and semantics
One useful run writes exactly one report Dataset item with
pushData(report, "result-found"). Empty, invalid, all-unavailable, or
insufficient input writes only OUTPUT. The terminal statuses are
complete, complete_empty, partial_pagination, partial_budget,
source_unavailable, delivery_unknown, bootstrap_required, and bootstrap_retry. The two
bootstrap statuses and complete_empty are free:
a new watch creates and verifies one persistent RequestQueue seed, then asks the
caller to retry the same input after bootstrap.retryAfterMs. Bootstrap never
reads evidence, writes a report or baseline, or emits result-found.
For a closed Dataset with expectedItems: 0, complete_empty truthfully marks
every configured identity absent, writes only OUTPUT plus a free baseline
snapshot, and emits no result-found event.
Partial or unavailable runs do not advance the watch baseline. A complete run
advances it only after the result counter confirms exactly one charge and the
delivery receipt is persisted. watchUniverse is the configured exact-ID
universe, not the current observed set, so deletions compare correctly. Dataset
input additionally requires
datasetCoverage: {"closed": true, "expectedItems": N}watchUniverse; observed
seller/restriction policy is retained as a per-identity baseline binding.
Therefore a complete disappearance can be assessed as absent, while a policy
reassignment or change for a still-present identity is noncomparable, emits an
unsent review action, and suppresses MAP evidence for that identity. The lock uses a separate
named RequestQueue per watch and preserves the verified seed between runs. Once
the seed is stable, the RequestQueue client atomically acquires its lease with
listAndLockHead() and releases it with deleteRequestLock(requestId).
The client heartbeat renews the real request lock when the SDK exposes
prolongRequestLock(). A replay of a confirmed or
reconciliation-required request does not push or charge again.
delivery_unknown means the delivery side effect may have happened but cannot
be proven from the durable receipt and exact counter delta. It is distinct from
source_unavailable, never confirms payment, and is never retried automatically.
If the persistent RequestQueue lock cannot be released after delivery, the
confirmed receipt and counters remain truthful but OUTPUT is downgraded to
delivery_unknown and the Actor fails with a nonzero process state instead of
exiting as a clean success, even if the failure hook is unavailable.
There is no live source discovery: supplied URLs are never requested. There are
no nested Actor calls, browser sessions, proxies, or fuzzy product joins.
Review actions carry review_required: true and not_sent: true; this Actor
never sends them.
Pricing
| Tier | Discount | Start | result-found |
|---|---|---|---|
| FREE | 0% | $0.00500 | $0.05000 |
| BRONZE | 5% | $0.00475 | $0.04750 |
| SILVER | 10% | $0.00450 | $0.04500 |
| GOLD | 15% | $0.00425 | $0.04250 |
| PLATINUM | 18% | $0.00410 | $0.04100 |
| DIAMOND | 20% | $0.00400 | $0.04000 |
The default Dataset item event is absent. maxTotalChargeUsd is checked before
the paid write. Optional explanation mode is caller-funded BYOK and does not
change deterministic facts or billing.
API and MCP
The standard Apify Actor API accepts the JSON input above. The package metadata is MCP-compatible, but this package does not claim a separate MCP server, remote tool registration, or payment endpoint.
curl -sS -X POST \'https://api.apify.com/v2/acts/zinin~us-map-retail-evidence/runs?waitForFinish=60' \-H 'Authorization: Bearer YOUR_APIFY_TOKEN' \-H 'Content-Type: application/json' \--data @input.json
Related Actors
| Actor | Role in a truthful workflow |
|---|---|
| Structured Extract | Prepare typed evidence rows before this Actor evaluates a supplied catalog. |
| Shopify Price Change Monitor | Supply complementary Shopify price observations for a separate watch. |
| US Brand Offer Evidence Normalizer | Normalize supplied promotion evidence before comparison. |
| Lead List Cleaner | Clean downstream retailer or seller lead records after review. |
These are links for workflow composition only. This Actor never calls them.
SEO
Canonical title: US MAP Retail Evidence | Deterministic Retail MAP Monitoring.
Meta description:
Process supplied US retail catalog evidence into exact-ID MAP, availability, baseline, and review findings without browsing or nested Actor calls.Keywords: US MAP monitoring, minimum advertised price evidence,
retail catalog evidenceApify Dataset processor, seller authorization.