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ExchangeRebel — pay-per-call APIs for AI agents (x402 on Solana)

render_bundle

Render + read/extract bundle of one public web page, self-rendered by our own headless Chromium: body {url, op?: bundle|full-page|read, width?, height?, format?: markdown|text, max_chars?} -> PNG inline (base64 in JSON, image legs) plus extracted text/markdown from the SAME render session, with render metadata and extraction counts. Bundle leg $0.02, full-page leg $0.05, read leg (extraction only) $0.01 — leg selected by body field op; the 402 challenge carries the selected leg's price. Full SSRF fence, refusals free before payment. Free pre-check at POST /toll/render/preflight (shape + full fence incl. resolve-then-pin, no render). $0.02 per call — USDC on Solana via x402 (over MCP: call without payment to get the PaymentRequired challenge, then retry with the payment at _meta["x402/payment"]). HTTP equivalent: POST https://exchangerebel.com/toll/render.

Input Schema

NameRequiredDescriptionDefault
opNoLeg: bundle (default, viewport PNG + extraction, $0.02), full-page (full-page PNG + extraction, $0.05, height capped at 8,000 px), or read (extraction only, $0.01).
urlYesThe bare public URL to render. No credentials in the URL; caller cookies/headers are never accepted.
widthNoViewport width in CSS pixels, 1..1920, default 1280.
formatNoExtraction format: markdown (default) or text.
heightNoViewport height in CSS pixels, 1..1080, default 800. Bundle and read legs only; rejected with the full-page leg.
max_charsNoCaller ceiling on returned extraction characters, 1000..262144; truncation is disclosed with untruncated totals.

Schema Changelog

Changes observed during successful MCP inspections.

  1. Added

TDQS

A4/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

Annotations already flag openWorldHint and non-idempotent, and the description adds substantial context beyond them: a full SSRF fence, refusals billed at $0 which happen before payment, no caller cookies/credentials accepted, per-leg pricing, and the exact x402 payment retry flow over MCP. That is unusually rich behavioral disclosure.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness3/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The core action is front-loaded, but the paragraph is a dense run-on that repeats pricing ($0.02 appears twice) and packs payment, preflight, SSRF, and sibling-equivalent info without structure. Informative but not tight.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness5/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a paid, open-world render tool with no output schema, the description covers output shape (inline base64 PNG plus text/markdown with counts), pricing per leg, payment mechanics, SSRF safety, and a free preflight path. Nothing essential to a correct call is missing.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters4/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

With 100% schema coverage the baseline is 3, but the description adds real meaning: it shows the body shape, ties op to leg pricing and to height being rejected on full-page, and notes max_chars truncation disclosure. The overlap with the schema's own op/height text keeps it from a 5.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description states a specific compound action: render a public web page with headless Chromium and extract text/markdown from the same session, with PNG output. That is far more specific than the name alone. It does not explicitly name siblings like screenshot_render or access_crawl, so differentiation is inferred from the bundle/extraction framing rather than stated.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

It clearly explains how to pick a leg (bundle vs full-page vs read) via the op field and what each costs, which is genuine usage guidance. However, it never says when to choose this tool over the many sibling render/crawl/screenshot tools, nor any exclusion beyond 'one public web page'.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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