Name: US Brand Intelligence
Author: timzinin

US Brand Intelligence MCP

Pay-per-call US brand evidence and signal workflows with free MCP discovery and x402 payments.

Tool-list grade A Remote · Streamable HTTP No auth needed 21 tools v1.0.0

No reviews yet by timzinin The publisher’s own endpoint — this marketplace is not in the path

93/100

tool-list score

tools declared

remote

at its publisher

—

calls last 7d

What it does

Pay-per-call US brand evidence and signal workflows with free MCP discovery and x402 payments.

Quickstart

# 1 — add it to Claude Code
claude mcp add --scope user --transport http us-brand-intelligence-mcp https://api.timzinin.com/mcp/us-brand-intelligence

# 2 — ask your agent for something these tools do
#   pricing_info, us-brand-action-queue, us-brand-evidence-chronology-builder and 18 more

US Brand Intelligence costs nothing on mcprush: there is no plan to choose here, no cap to set and nothing mcprush can bill you for.

Publishernot claimed

timzinin12 servers

5 categories

All 12 servers

Collected from a public index. Nobody has claimed this account, so nothing here was written by its author — claim it if it is yours.

Tool surface

What the model actually sees. Descriptions are diffed on every release — see version history.

Only tools that write or reach the network

Free — list every paid tool in the 'us-brand-intelligence' bundle with its price, payTo address and network. Call this first if you don't have a wallet ready yet.

No parameter schema on file.

Turn verified US brand signals into one deterministic prioritized action queue with evidence, urgency, ownership status, and rule traces for downstream operators and agents. The Actor does not send messages or write to destinations. — $0.05/call, x402 (USDC on base).

Parameter	Type	Required	Notes
schemaVersion	string	yes	Closed contract version.
scoredAt	string	yes	Explicit UTC timestamp bound into request identity and used by all time-based scoring rules.
requestId	string	no	Bounded correlation value only; it does not deduplicate separate Actor runs.
items	array	no	Choose this or datasetId, never both; the runtime enforces XOR because the Apify schema dialect cannot express cross-property relations.
datasetId	string	no	Choose this or items, never both; the runtime enforces XOR because the Apify schema dialect cannot express cross-property relations.
options	object	no	Deterministic caps and optional explanation mode.
openrouterApiKey	string	no	Optional caller-supplied value for one bounded explanation only; runtime enforces the BYOK conditional because the Apify schema dialect cannot express it.

Build a deterministic chronology from 1 to 30 closed US brand evidence rows and an explicit UTC as-of time. It sorts supplied facts, marks same-time groups, reports future-dated IDs, and emits stable counts and digests. — $0.05/call, x402 (USDC on base).

Parameter	Type	Required	Notes
schemaVersion	string	yes	Required closed contract version.
asOf	string	yes	Explicit UTC timestamp; the runtime never reads the current clock.
rows	array	yes	One to 30 closed rows. Input order is not semantic.

Turn a small buyer-owned evidence packet into a stable citation table with bounded Markdown citations, host and source counts, limitations, and digests. It formats the supplied facts and does not browse, fetch, verify, rank, or enrich them. — $0.05/call, x402 (USDC on base).

Parameter	Type	Required	Notes
schemaVersion	string	yes	The only supported closed contract version.
rows	array	yes	One to 100 rows with unique opaque evidence IDs. All text is bounded; timestamps are strict UTC; source URLs must be HTTPS without credentials or fragments.

Compare two small buyer-supplied US brand evidence snapshots and return a stable machine-readable report of added, removed, changed, and unchanged records. Inline-only, deterministic, and designed for agents that already own both snapshots. — $0.05/call, x402 (USDC on base).

Parameter	Type	Required	Notes
schemaVersion	string	yes	schemaVersion
primarySide	string	yes	Whether primary rows are the before or after snapshot.
primary	array	yes	One to 50 rows for the side selected by primarySide. Identical rows are rejected structurally; runtime also rejects the same dedupeKey across non-identical rows.
counterpart	array	no	Optional one to 50 rows for the opposite side; omit it for an empty counterpart snapshot. Runtime rejects repeated dedupeKey values.

Given one exact USAspending recipient ID and a bounded UTC date window, return a deterministic snapshot of federal contract transactions for that recipient. Built for company and government-intelligence agents; no buyer URL, API key, browser, or LLM. — $0.05/call, x402 (USDC on base).

Parameter	Type	Required	Notes
recipientId	string	yes	USAspending lowercase child recipient ID ending in -C.
startDate	string	yes	Inclusive YYYY-MM-DD start date; runtime validation enforces the calendar and 2007-10-01 lower bound.
endDate	string	yes	Inclusive YYYY-MM-DD end date, no later than the UTC run date.
maxResults	integer	no	Maximum number of exact-attributed transactions in the one snapshot row.
requestId	string	no	Optional bounded correlation label; it is not replay state.

Turn supplied US brand offer, coupon, ad, and landing-page evidence into closed deterministic JSON. Submit bounded inline rows or one authorized read-only Dataset; the Actor validates source proof and terms without browsing or inferring ownership. — $0.05/call, x402 (USDC on base).

Parameter	Type	Required	Notes
schemaVersion	string	yes	Required V1 contract version.
requestId	string	yes	Correlation ID for this run. Reusing it in another run does not deduplicate purchases.
rows	array	no	One to 100 closed evidence-row objects. Leave empty when selecting a Dataset.
datasetId	string	no	One resource selected with READ permission. Dataset V1 accepts at most 10 rows and probes 11 in one SDK call. Leave empty when using inline rows.
openrouterApiKey	string	no	Optional caller-owned key for BYOK labels. The runtime must redact and never persist it.
options	object	no	Labels are off unless an explicit model and caller key are supplied in BYOK mode.

Split a bounded batch of normalized US brand signal rows by brand, event type, severity, or analysis status. Receive stable groups, exact IDs, counts, and SHA-256 digests without browsing, enrichment, inference, or child calls. — $0.05/call, x402 (USDC on base).

Parameter	Type	Required	Notes
schemaVersion	string	yes	Required closed V1 contract.
groupingMode	string	yes	Choose the submitted row field used as the group key.
rows	array	yes	One to 100 rows. Rows are submitted facts; this Actor does not verify, enrich, or infer them.

Summarize 1 to 60 buyer-supplied normalized US brand signals for up to 15 explicit brands. Receive deterministic counts and grouped facts without identity resolution, source verification, browsing, or live enrichment. — $0.05/call, x402 (USDC on base).

Parameter	Type	Required	Notes
schemaVersion	string	yes	Required closed V1 contract.
rows	array	yes	One to 60 unique signal rows. brandName is explicit and input order is ignored.

Turn a buyer-supplied snapshot of US brand signals into one bounded deterministic machine-readable brief. It reduces the facts you provide and does not discover, fetch, verify, or enrich evidence. — $0.05/call, x402 (USDC on base).

Parameter	Type	Required	Notes
schemaVersion	string	yes	Required closed V1 contract.
snapshotAt	string	yes	Explicit UTC timestamp with a real Gregorian calendar date. It is also emitted as generatedAt; the Actor never reads the current clock.
title	string	yes	Printable ASCII title bound into the brief digest.
rows	array	yes	Exactly 1-50 closed rows. Input order is ignored; rows are sorted deterministically.

Classify buyer-supplied normalized US brand signal scores against explicit accept and review thresholds. Receive sorted accepted, review, and rejected IDs with stable reason codes, counts, and digests; no source or identity claims are made. — $0.05/call, x402 (USDC on base).

Parameter	Type	Required	Notes
schemaVersion	string	yes	The only supported closed contract version.
thresholds	object	yes	Accept is inclusive at acceptThreshold; review is inclusive from reviewThreshold up to, but excluding, acceptThreshold. The required ordering marker prevents ambiguity.
rows	array	yes	One to 100 unique signal IDs with integer normalized scores from 1 to 100. IDs are sorted by the runtime before classification.

Measure how often buyer-supplied opaque signal IDs appear together in bounded observation groups. Return stable signal counts, unordered pair counts, support, Jaccard overlap, and digests without fetching or making causality claims. — $0.05/call, x402 (USDC on base).

Parameter	Type	Required	Notes
schemaVersion	string	yes	The only supported closed contract version.
groups	array	yes	One to 100 named groups. Each group may contain up to 30 unique opaque signal IDs.

Turn 1 to 100 buyer-supplied US brand signal rows into unsent HubSpot, Salesforce, or generic CRM field proposals while preserving evidence IDs and URLs. No CRM credentials, network calls, proxy, LLM, identity resolution, or arbitrary expressions. — $0.05/call, x402 (USDC on base).

Parameter	Type	Required	Notes
schemaVersion	string	yes	The only supported closed contract version.
target	string	yes	Select the closed target field vocabulary; this Actor does not call the target CRM.
mapping	array	yes	Each source field may appear once and must map to the exact target field allowed for the selected CRM.
rows	array	yes	One to one hundred rows with explicit opaque entity IDs and source evidence.

Build a deterministic two-dimensional count table from buyer-supplied opaque rows, such as event type by status or brand by review state. It only counts the bounded request and does not verify sources or infer causality. — $0.05/call, x402 (USDC on base).

Parameter	Type	Required	Notes
schemaVersion	string	yes	The only supported closed contract version.
rows	array	yes	One to 100 unique opaque rows. There can be at most 15 unique rowDimension values and 15 unique columnDimension values.

Reconcile two buyer-supplied batches of normalized US brand signals. Receive a deterministic union, exact duplicate IDs, field conflicts, one-sided ID sets, counts, and digests without choosing a winner or making a truth claim. — $0.05/call, x402 (USDC on base).

Parameter	Type	Required	Notes
schemaVersion	string	yes	Closed V1 contract version.
left	array	yes	One to 50 rows from the first sensor or workflow.
right	array	yes	One to 50 rows from the second sensor or workflow.

Compute deterministic machine-friendly metrics for US brand signal rows you already collected, including event, severity, status, source, confidence, warning, and digest metrics. Stateless, keyless, offline, and bounded for agent pipelines. — $0.05/call, x402 (USDC on base).

Parameter	Type	Required	Notes
schemaVersion	string	yes	Required closed V1 contract.
rows	array	yes	One to 100 closed rows. signalId is unique and all text is printable ASCII only.

Compare buyer-defined threshold policies over the same opaque US brand signal scores. Return accepted, review, and rejected IDs for every policy plus differences and sensitivity summaries; it does not choose or recommend a policy. — $0.05/call, x402 (USDC on base).

Parameter	Type	Required	Notes
schemaVersion	string	yes	The only supported closed contract version.
rows	array	yes	One to 100 unique opaque IDs with integer scores from 1 to 100.
policies	array	yes	One to 20 unique policies. Review must be strictly below accept.

Turn normalized US brand signals and ordered rules into a deterministic routing plan with matched routes, unmatched IDs, counts, warnings, and reproducible digests. It never sends messages, calls destinations, fetches URLs, or infers identity. — $0.05/call, x402 (USDC on base).

Parameter	Type	Required	Notes
schemaVersion	string	yes	Closed input and output contract version.
mode	string	yes	firstMatch uses the first matching rule; allMatches retains every matching rule in input order.
signals	array	yes	Closed rows. Runtime additionally enforces unique IDs, NFC, 256 UTF-8-byte text bounds, a 256 KiB envelope, strict calendar timestamps, and finite 9-decimal confidence values.
rules	array	yes	Closed explicit predicates. Runtime additionally enforces unique rule/route IDs, NFC and UTF-8 byte bounds, and confidenceMin <= confidenceMax because the Store schema dialect cannot compare sibling v

Measure ordered adjacent transitions in buyer-supplied opaque sequences for workflow, funnel, and journey analysis. The bounded processor analyzes only the JSON you provide and makes no identity or causality claim. — $0.05/call, x402 (USDC on base).

Parameter	Type	Required	Notes
schemaVersion	string	yes	The only supported closed contract version.
sequences	array	yes	One to 100 sequences; each contains 2 to 30 ordered opaque step IDs.

Classify buyer-supplied schedule rows against an explicit UTC timestamp: which items met their due time, missed it, or remain open. Deterministic and offline; it never fetches a clock or resolves an item to a person or company. — $0.05/call, x402 (USDC on base).

Parameter	Type	Required	Notes
schemaVersion	string	yes	The only supported closed contract version.
asOf	string	yes	Strict Gregorian UTC timestamp in YYYY-MM-DDTHH:mm:ssZ form. This value controls all open-row classification.
rows	array	yes	One to 100 rows with opaque item IDs and explicit opened, due, and optional resolved timestamps.

Build one bounded deterministic unsent payload shaped for Slack, Teams, or a generic webhook from one normalized signal and buyer-supplied evidence. The Actor never sends a webhook or accepts a destination. — $0.05/call, x402 (USDC on base).

Parameter	Type	Required	Notes
schemaVersion	string	yes	The only supported closed contract version.
signal	object	yes	Buyer-provided text and one to three HTTPS evidence records. No identity or live-source lookup is performed.
target	string	yes	A closed enum only. This selects a local JSON shape; it never supplies a destination.
presentation	object	yes	Only these booleans, style enum, and bounded character limit are accepted. Templates and expressions are not supported.

Free

$0 forever

Every tool — any call limit is its publisher’s, not ours
No card, and mcprush charges nothing for it
Runs at its publisher’s own address — this marketplace is not in the path
Nothing to cap, because mcprush bills nothing

Nothing here is billable: mcprush charges nothing to install US Brand Intelligence or to call it, at any volume.

ATool-list grade · score 93 / 100

Release 1.0.0 · scanned 20 Oct 2026

Graded from the tools this server lists, not from its source code.

Two independent axes, because powerful and malicious are different questions. The grade is threat only. The capability level is blast radius, and it is never a penalty on the grade — it is priced as one subtract-only term in the score, where you can see it.

Threat score100

Client score93

Findings0 threat · 1 capability

Capabilitymoderate

Coveragemanifest

Verificationnot in this report

Surface digestb648a64f5a6d6fec155ef4df64ab740e29a1cb49e1d1048ea8bedc8f99f578ad

Score vectorthreat 100 → client 93

Term	Level	What it prices	Points
capability-exposure	moderate	capability blast radius (moderate) — client exposure if the model is manipulated	−3
coverage-honesty	manifest	inspection depth (manifest) — how much of the target the scan could see	−4

score = clamp(round(threatScore − E_cap − E_ver − E_cov), 0, 100). No model, no opinion, no network call at scoring time: the same methodology version against the same bytes always produces this number, and every line above is a field of the report rather than a summary of it.

What the scan could actually read

A grade is only as meaningful as its coverage, so the scanner publishes its own depth before it publishes its result.

The scan read each tool’s name, description, input schema and annotations exactly as the server listed them the last time it answered us; no code was reviewed. We ask the server again about once a month, and a list that changed is graded again.

Tool surfaceread

Implementation sourcenot available

Package metadatanot available

Live transportnot available

The implementation source was not read — this reflects the declared tool metadata only.

Capability — what it could do if the model were manipulated

Tags derived from each tool’s schema and the implementation, not from what the tool calls itself. moderate is the level these add up to.

Tool	Capability tags	Why the tag was assigned
pricing_info	no tags
us-brand-action-queue	untrusted-input	untrusted-input: declares openWorldHint: true (interacts with entities outside the server)
us-brand-evidence-chronology-builder	untrusted-input	untrusted-input: declares openWorldHint: true (interacts with entities outside the server)
us-brand-evidence-citation-table	untrusted-input	untrusted-input: declares openWorldHint: true (interacts with entities outside the server)
us-brand-evidence-snapshot-diff	untrusted-input	untrusted-input: declares openWorldHint: true (interacts with entities outside the server)
us-brand-federal-award-snapshot	untrusted-input	untrusted-input: declares openWorldHint: true (interacts with entities outside the server)
us-brand-offer-evidence-normalizer	untrusted-input	untrusted-input: declares openWorldHint: true (interacts with entities outside the server)
us-brand-signal-batch-splitter	untrusted-input	untrusted-input: declares openWorldHint: true (interacts with entities outside the server)
us-brand-signal-brand-summary	untrusted-input	untrusted-input: declares openWorldHint: true (interacts with entities outside the server)
us-brand-signal-brief-composer	untrusted-input	untrusted-input: declares openWorldHint: true (interacts with entities outside the server)
us-brand-signal-confidence-gate	untrusted-input	untrusted-input: declares openWorldHint: true (interacts with entities outside the server)
us-brand-signal-cooccurrence-analyzer	untrusted-input	untrusted-input: declares openWorldHint: true (interacts with entities outside the server)
us-brand-signal-crm-field-mapper	untrusted-input	untrusted-input: declares openWorldHint: true (interacts with entities outside the server)
us-brand-signal-cross-tabulator	untrusted-input	untrusted-input: declares openWorldHint: true (interacts with entities outside the server)
us-brand-signal-merge-report	untrusted-input	untrusted-input: declares openWorldHint: true (interacts with entities outside the server)
us-brand-signal-metrics-aggregator	untrusted-input	untrusted-input: declares openWorldHint: true (interacts with entities outside the server)
us-brand-signal-policy-simulator	untrusted-input	untrusted-input: declares openWorldHint: true (interacts with entities outside the server)
us-brand-signal-rule-router	no tags
us-brand-signal-sequence-transition-analyzer	untrusted-input	untrusted-input: declares openWorldHint: true (interacts with entities outside the server)
us-brand-signal-sla-checker	untrusted-input	untrusted-input: declares openWorldHint: true (interacts with entities outside the server)
us-brand-signal-webhook-payload-builder	external-sink	external-sink: keyword "webhook"

Toxic-flow graph

The lethal trifecta, checked as a graph rather than as a checklist: untrusted input, a sensitive source and an external sink have to meet before there is a path worth worrying about.

flow-1

Untrusted input can drive an external action even though no sensitive source is exposed.

Supply chain and provenance

Integrityfirst-seen

Surface digestb648a64f5a6d6fec

Scanned2026-10-20

This is the first scan of this surface here, so there is nothing yet to compare it against.

Every result on this tab comes from one deterministic pass over the published package — offline, rule by rule, and auditable line by line above. Same methodology version, same bytes, same score.

Where are you running it?

Tool surface

Release history

US Brand Intelligence MCP

What it does

Quickstart

Where are you running it?

Tool surface

What counts against your monthly calls

What the scan could actually read

Capability — what it could do if the model were manipulated

Toxic-flow graph

Supply chain and provenance

Release history

See also