Grabgrab.com

ScoredNov 9, 2026, 07:22 AM

Grab's API program shows strong fundamentals in design, agent understanding, and discoverability — partners and agents can find and parse the API surface reliably. The two areas that need immediate attention are developer experience and operational reliability: there is no published changelog, so partners and their agents cannot anticipate breaking changes, and there are no rate-limit signaling headers, meaning agents can only react to throttling after it has already disrupted a workflow.

API DesignA clean, typed, well-governed API contract agents can reason about4 pass1 warn0 fail97A+
SignalPointsFindingsRationale
passMachine-readable, versioned contractvia spec25/25The API declares version "1.1.3" and uses url-based versioning, so an agent can pin to a stable contract. Investigated: spec 100%, docs 100%.A current OpenAPI version with a declared versioning scheme lets agents reason about the contract.
passAuth declared & discoverablevia mcp25/25The MCP server at https://grabgpu.com/mcp accepts unauthenticated requests, so an agent knows it needs no credentials. Investigated: mcp 100%, spec 0%, docs 0%.Agents can only call an API when they can determine its auth posture — a declared scheme, or an explicit statement that none is required.
warnSchema coverage & depthvia sdk21.4/250/1 (0%) spec-enum params are realized as constrained types (not bare strings). Investigated: sdk 86%, spec 50%.
Fix: Realize spec enums as literal unions or named enum types instead of bare strings so agents can choose only valid values.
Typed, complete request/response schemas are what make agent function-calling possible.
passSecurity & governance hygienevia sdk15/15Code is formatter-clean with zero linter errors and zero style warnings. Investigated: sdk 100%, wellknown 50%, spec 0%.No leaked secrets, no critical lint violations, no OWASP API Top-10 spec smells, and a published vulnerability-disclosure channel.
passExample coveragevia spec10/10100% of parameters and responses (119 of 119) include example values, grounding an agent in real payload shapes. Investigated: spec 100%, sdk 100%, docs 0%.Examples carry shape semantics schemas under-specify — for humans and agents alike.
Developer ExperienceThe context both developers and agents need to integrate fast — onboarding, code samples, complete descriptions and worked examples2 pass1 warn2 fail65C
SignalPointsFindingsRationale
passSelf-service developer portalvia docs29/29Signup page found at https://www.grab.com/sg/start/, but no free tier or sandbox is documented in docs/pricing, so an agent may hit a paywall. Investigated: docs 100%.A first call without a human in the loop — self-serve credentials, a free tier, or an API that needs none.
passDescription completenessvia sdk15/151036/1036 operations carry a description. Investigated: sdk 100%, spec 0%.Complete descriptions are the context humans and agents need to use endpoints.
warnQuickstart presentvia docs12.5/25Quickstart page is reachable at https://developers.grab.com/docs/quickstart/ (22 variants scanned) but has no runnable code sample in its HTML or .md variant, so there's nothing to copy and run. Investigated: docs 50%.
Fix: Add a copy-pasteable curl or SDK call, with the expected response, to the quickstart page (or its .md variant).
A quickstart is the fastest path from landing page to first successful call.
failCode samples in docsvia docs0/18No code samples detected across 1 sampled docs pages, so a coding agent gets no ready-to-use examples. Investigated: docs 0%.
Fix: Add copy-pasteable code samples to API reference and quickstart pages.
Multi-language samples shorten time-to-first-call.
failChangelog publishedvia spec0/13No changelog link or mention appears in the spec, so an agent can't tell what changed before something breaks. Investigated: spec 0%, docs 0%.
Fix: Publish a structured changelog (e.g., /changelog.json or releases.atom) and reference it in info or externalDocs.
A published changelog lets partners track changes without surprise.
Agent DiscoveryPartners and their agents can find your APIs — llms.txt, registries, crawlable and reachable docs2 pass2 warn0 fail80A
SignalPointsFindingsRationale
passDocs reachable, not hard auth-gatedvia docs30/30All 1 pages are publicly accessible. Investigated: docs 100%.Agents can only index and fetch docs they can reach — past auth gates and over correct HTTP semantics.
passRegistry & SDK presencevia docs28/28Indexed on Context7 (cavaliergopher/grab, 290 snippets). Investigated: docs 100%, sdk 100%, cli 0%, mcp 0%, wellknown 0%.Listing in MCP registries and publishing SDKs puts the API where agents and their tooling look.
warnllms.txt present, valid & comprehensivevia docs15/30No llms.txt found at any candidate location (https://developers.grab.com/docs/llms.txt, https://developers.grab.com/llms.txt). Investigated: docs 50%, sdk 0%.A valid, comprehensive llms.txt is the machine-readable entry point for agents.
warnCrawlable / AEOvia wellknown3/12robots.txt blocks every monitored AI crawler from the docs paths, so agents can't cite or read your documentation. Investigated: wellknown 25%.
Fix: Unblock AI crawlers on documentation paths — blocked docs cannot be cited or read by agents.
Bots allowed plus a fresh sitemap make docs findable by agent crawlers.
Agent UnderstandingAgents can correctly interpret your APIs — machine-readable errors, consistent descriptions, structured data, parseable docs3 pass2 warn0 fail92A+
SignalPointsFindingsRationale
passMachine-readable errors (RFC 9457)via docs28/28Documents 7 distinct 4xx/5xx error response codes, so an agent can branch on specific failures instead of guessing. Investigated: docs 100%, sdk 100%, spec 50%.RFC 9457 problem details and a documented error-code inventory let agents parse failures without burning tokens.
passOperation purpose clarityvia spec25/25100% of operations (30 of 30) have both a clear summary and a descriptive name, so an agent can pick the right endpoint. Investigated: spec 100%, sdk 100%.Agents select the right endpoint from its summary + operationId; clear, named operations make tool-selection reliable — the strongest driver of correct tool choice.
passAgent-navigable, token-efficient docsvia docs22/22All 1 pages contain server-rendered content. Investigated: docs 100%.Server-rendered, clean, small-footprint docs are what an agent can cheaply fetch and parse correctly.
warnAgent instructions file (AGENTS.md)via sdk5/10No agents.md or skill.md context file found (nice-to-have for agent operation). Investigated: sdk 50%, wellknown 0%.
Fix: Add an agents.md or skill.md describing how an agent should use this SDK (auth setup, key operations, gotchas).
An AGENTS.md gives coding agents explicit setup, auth, and usage instructions to interpret and operate the API — beyond llms.txt's link index.
warnDocs structured datavia docs4/8Only OpenGraph/meta tags across 1 assessed pages — no JSON-LD for AI answer engines to cite. Investigated: docs 50%.
Fix: Emit JSON-LD with Article/TechArticle @type and dateModified in the rendered docs head.
Structured data (JSON-LD/schema.org) on docs pages gives agents an unambiguous parse target and is what answer engines cite. Detected on the JS-rendered head (Firecrawl) for a bounded page budget, so JS-injected JSON-LD is now caught; pages we can't render are excluded rather than failed.
naDescription consistency across surfaces—/7Only 1 surface description(s) with ≥6 tokens available; need at least 2 to compare.Every surface tells the same story about what the product is.
Agent UsabilityAgents have the context to use your APIs reliably, not just find them3 pass0 warn1 fail76B
SignalPointsFindingsRationale
passIdempotency documentedvia sdk27/27Built-in retry machinery is present (grep-derived). Investigated: sdk 100%, spec 0%, docs 0%.Documented idempotency lets agents retry safely.
passSandbox separationvia spec20/20Spec declares a sandbox server but no distinguishable test credentials, so agents can't tell test calls from live ones. Investigated: spec 100%, docs 100%, sdk 100%.An isolated environment lets agents exercise destructive operations safely.
passRunnable collection with test scriptsvia sdk9/9README is present and includes a runnable quickstart. Investigated: sdk 100%, platform 0%.A public, maintained collection with assertions is runnable truth agents validate against.
failRate-limit signalingvia spec0/22A 429 response is documented, but no rate-limit response headers accompany it, so an agent can only react to a throttle instead of anticipating one. Investigated: spec 0%, docs 0%.
Fix: Add x-ratelimit-* response headers and document retry-after semantics.
Machine-readable rate-limit headers let agents throttle adaptively.
naPagination documented & consistent—/22No surface produced evidence for this capability in this run.Consistent, documented pagination lets agents traverse collections.
Resources Discovered

The public resources we found for Grab — the evidence behind the score. All discovered from public sources; nothing here requires access to your systems.

Agent hintsContext7 (290)
APIs analyzed1 — GrabFood
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