autopulse
AutoPulse: Automotive intelligence API — 10 endpoints powered by NHTSA, EPA, and live market data. Safety recalls, reliability analysis, DIY repair guides, vehicle comparison, market value, EV break-even, dealer Coverage: Global Endpoints: • vin-recall ($0.02): US safety recalls for a VIN — decod...
This record as markdown: /tools/com-theaslangroupllc-pulse-pulsenetwork/autopulse.md
What autopulse does on Pulsenetwork
AI agents call autopulse to retrieve information from Pulsenetwork without modifying anything. It is typically the context-gathering step in research, monitoring, and reporting workflows, before the agent takes action elsewhere.
| Parameter | Type | Required | Description |
|---|---|---|---|
apr | string | — | APR percent — combine with amount + term_months for a deterministic monthly payment |
job | string | — | Repair job (e.g. brake-pads, oil-change, cabin-air-filter) |
vin | string | — | 17-character VIN |
lang | string | — | lang |
make | string | — | make |
part | string | — | Part name (e.g. brake-pads, alternator, water-pump) |
trim | string | — | trim |
year | string | — | year |
model | string | — | model |
state | string | — | US state for state-level incentives and electricity rates |
action | string | Yes | Which endpoint to call. Options: vin-recall | recall | problems | repair | compare | value | ev-breakeven | negotiate | inspect | parts | tco | financing |
amount | string | — | Loan principal — combine with apr + term_months for a deterministic monthly payment |
Parameters from the server's own tool schema.
Why autopulse is rated Low
Tool queries automotive databases and returns informational data with no side effects or modifications.
From the tool's definition Retrieves safety recalls, reliability analysis, repair guides, vehicle comparison, market value estimates.
Risk signalsHigh parameter count (26 properties)
Attacks that exploit this kind of access
The rule that runs autopulse safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Pulsenetwork, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For autopulse, this is the rule to start with:
autopulse is read-only, so it stays allowed. Everything else on the server is denied unless you say otherwise.
The button opens the PolicyLayer dashboard: create your workspace, connect Pulsenetwork, apply this rule, and every autopulse call is checked against it from then on.
Questions about autopulse
AutoPulse: Automotive intelligence API — 10 endpoints powered by NHTSA, EPA, and live market data. Safety recalls, reliability analysis, DIY repair guides, vehicle comparison, market value, EV break-even, dealer Coverage: Global Endpoints: • vin-recall ($0.02): US safety recalls for a VIN — decode + NHTSA campaigns, deterministic • recall ($0.05): NHTSA safety recall lookup • problems ($0.10): Known problems and reliability analysis • repair ($0.10): DIY repair guide • compare ($0.10): Vehicle comparison • value ($0.08): Market value estimate • ev-breakeven ($0.10): EV break-even analysis vs. gas vehicle • negotiate ($0.10): Car buying negotiation guide • inspect ($0.08): Pre-purchase inspection checklist • parts ($0.08): Parts pricing and sourcing • tco ($0.15): Total cost of ownership (5-year) • financing ($0.12): Car financing / auto loan APR intelligence. It is categorised as a Read tool in the Pulsenetwork MCP Server, which means it retrieves data without modifying state.
autopulse accepts 12 parameters: apr, job, vin, lang, make, part, trim, year, model, state, action, amount. Required: action. The full parameter table on this page comes from the server's own tool schema.
Register the Pulsenetwork MCP server in PolicyLayer and add a rule for autopulse: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Pulsenetwork. Nothing to install.
autopulse is a Read tool with low risk. Read-only tools are generally safe to allow by default.
Yes. Add a rate_limit block to the autopulse rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for autopulse. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
autopulse is provided by the Pulsenetwork MCP server (https://pulse.theaslangroupllc.com/api/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
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