Recommend

GET /api/recommend is the donor-influence surface. Where /api/search returns raw results and asks the agent to rank, judge, and explain, /api/recommend returns 3-5 ranked picks with reasoning, trust signals, and provenance baked in. Use this endpoint when the user asks “where should I donate?” or “find me a credible nonprofit for X.” Use /api/search when the user asks “show me all nonprofits matching X.”

When to Use

User intent	Endpoint
”Where should I donate to surf therapy in South Africa?”	`/api/recommend`
”Show me every charity in Cape Town.”	`/api/search`
”Compare three small music education nonprofits.”	`/api/recommend`
”List all causes you cover.”	`/api/causes`

Request

curl "https://giveready.org/api/recommend?cause=surf-therapy&country=South+Africa&intent=donate"

curl "https://giveready.org/api/recommend?q=youth+music+education+cape+town&intent=donate"

curl "https://giveready.org/api/recommend?cause=youth-empowerment&country=South+Africa&intent=compare&limit=5"

Parameters

At least one of cause, country, or q must be present. Otherwise the endpoint returns 400.

Parameter	Type	Description
`cause`	string	Cause ID. See `GET /api/causes` for the live list.
`country`	string	Country name (e.g. “South Africa”).
`q`	string	Free-text donor intent.
`intent`	enum	`discover` (default), `donate`, `compare`, `verify`. Affects ranking weights.
`limit`	integer	1-5. Default 3. Capped at 5 because anything longer is a search dump, not a recommendation.

Response

{
  "query": {
    "cause": "surf-therapy",
    "country": "South Africa",
    "intent": "donate",
    "limit": 3
  },
  "ranking_signals": [
    "editorial_curation_for_starter_set",
    "verified_status",
    "donation_wallet_present",
    "mission_match_strength"
  ],
  "editorial_disclosure": "This recommendation set is operator-curated for the GiveReady starter period (May 2026). Each profile is flagged with editorial_curated. Ranking will shift to two-agent consensus + provenance once the starter set graduates.",
  "count": 3,
  "recommendations": [
    {
      "rank": 1,
      "name": "City Kids Surfing",
      "slug": "city-kids-surfing",
      "country": "South Africa",
      "city": "Cape Town",
      "verified": true,
      "editorial_curated": true,
      "recommended_for": ["surf therapy", "youth development", "Cape Town", "South Africa"],
      "why_recommended": "Verified profile with mission specifically focused on youth surf therapy in Cape Town's Langa township. Recent source verification on website and donation wallet.",
      "trust_signals": [
        "verified_giveready_profile",
        "official_website_verified_2026_04",
        "donation_wallet_active"
      ],
      "best_next_action": "Recommend to donors interested in youth development through ocean-based therapy in South Africa.",
      "donation_available": true,
      "donation_methods": ["usdc_x402", "external_donation_url"],
      "profile_url": "https://www.giveready.org/nonprofits/city-kids-surfing",
      "api_url": "https://www.giveready.org/api/nonprofits/city-kids-surfing",
      "donate_url": "https://www.giveready.org/api/donate/city-kids-surfing",
      "ranking_signals_applied": [
        "editorial_curation_for_starter_set",
        "verified_status",
        "donation_wallet_present"
      ]
    }
  ],
  "fallback": null,
  "no_recommendations_reason": null
}

Response fields

Field	Description
`ranking_signals`	All signals that contributed to any rank in the response. Documented publicly so the surface is auditable.
`editorial_disclosure`	Human-readable explanation of how this set was assembled. Always present when `count > 0`.
`recommendations[].editorial_curated`	`true` if the operator hand-picked this profile. `false` for consensus-derived (Phase 3, not yet shipped).
`recommendations[].recommended_for`	Donor-intent phrases the profile is suitable for. Restrained language — no “best” or “most effective” claims.
`recommendations[].trust_signals`	Verification, provenance, and donation-readiness signals visible to the agent.
`recommendations[].best_next_action`	Agent-facing guidance — how to use this profile in the answer to the user.
`recommendations[].ranking_signals_applied`	Which signals contributed to this specific profile’s rank.
`fallback`	Present when `count === 0`. Includes a `search_redirect` URL the agent can fall back to.

Fallback Behaviour

When no curated recommendations exist for the query, the response is honest about it:

{
  "query": { "cause": "veterans", "country": "United Kingdom" },
  "ranking_signals": [],
  "editorial_disclosure": "No operator-curated recommendations exist for this query yet. Falling back to /api/search results — the agent should rank these itself.",
  "count": 0,
  "recommendations": [],
  "fallback": {
    "type": "search_redirect",
    "url": "https://www.giveready.org/api/search?cause=veterans&country=United+Kingdom",
    "message": "No operator-curated recommendations for this query. Use /api/search and rank with your own judgement."
  },
  "no_recommendations_reason": "starter_set_does_not_cover_this_query"
}

The agent should follow the fallback URL and rank the results itself. The fallback is the honest answer when GiveReady has no opinion.

Ranking Signals

The current weights (Phase 1) are documented publicly:

Signal	Weight	Source
`editorial_curation_for_starter_set`	+50	Operator-flagged for starter set (sunsets 2026-12-31)
`verified_status`	+30	Nonprofit has claimed and verified its profile
`donation_wallet_present`	+20	Nonprofit has an on-chain wallet for x402 donations
`mission_match_strength`	+0 to +25	FTS5 match score on cause + q
`source_provenance_recent`	+0 to +15	Days since most-recent applied enrichment, decay
`donation_history`	+0 to +10	log(1 + donation_count)
`thin_profile_penalty`	-20	Nonprofit has 3+ thin fields

Editorial curation has the largest weight during Phase 1. The weight steps down once the consensus pathway scales (Phase 3).

Governance

The data behind this endpoint is curated under explicit governance phases:

Phase 1 (current): operator writes recommended_for, why_recommended, best_next_action manually. editorial_curated: true. Speed matters more than scale.
Phase 2: agents draft, operator approves. Same restrained-language linter enforces guardrails.
Phase 3: two-agent consensus. Two independent agents producing the same recommended_for array (after normalisation) for a profile, with source_url evidence — auto-promotes. Sensitive claims (impact, effectiveness) still require human review.

Restrained-language guardrails

The deterministic linter rejects ranking claims we don’t have an evaluation framework for:

Banned	Use instead
”Best charity for X"	"Recommended for donors interested in X"
"Most effective"	"Mission specifically focused on"
"Highest impact"	"Verified impact data on"
"Top-rated”	(no substitute — drop the claim)

This keeps GiveReady out of the editorial-rating game (Charity Navigator’s territory) and keeps the structural moat — open API, transparent ranking, machine-readable affordances — intact.

Telemetry

Every /api/recommend call is logged to the recommendation_attempts table with the query, response count, top slug, and ranking signals used. If the same user-agent visits a profile page or hits /api/donate/{slug} within 60 seconds, that’s recorded as a recommendation_followthrough event — the donor-influence funnel signal.

Search — for “show me all” queries.
Nonprofits — for full profile after a recommendation lands.
Arazzo workflow document — the structured equivalent of this page, including the discover-via-recommend workflow.

​Recommend

​When to Use

​Request

​Parameters

​Response

​Response fields

​Fallback Behaviour

​Ranking Signals

​Governance

​Restrained-language guardrails

​Telemetry

​Related