# Web API Benchmark Results

**Date:** 2026-02-08
**Base URL:** http://localhost:51100
**Iterations:** 3 (+ 1 warmup)

## Summary

| Endpoint | Scenarios | Avg Latency | Status |
|----------|-----------|-------------|--------|
| Health | 1 | ~10ms | OK |
| Search (`/v1/search`) | 8 | 1181ms | OK |
| Fetch (`/v1/fetch`) | 7 | 939ms | OK |
| Image Search (`/v1/image-search`) | 2 | 1469ms | 3 errors |
| Gather (`/v1/gather`) | 9 | 6165ms | OK |

---

## Health

### `health`

| Metric | Min | Mean | Median | P95 | Max |
|--------|-----|------|--------|-----|-----|
| curl_ttfb_s | 0.01 | 0.01 | 0.01 | 0.01 | 0.01 |
| curl_total_s | 0.01 | 0.01 | 0.01 | 0.01 | 0.01 |

---

## Search (`/v1/search`)

### `search-single`

**Config:** 1 query, max_results=10

| Metric | Min | Mean | Median | P95 | Max |
|--------|-----|------|--------|-----|-----|
| total_ms | 574 | 661 | 650 | 749 | 760 |
| curl_ttfb_s | 0.58 | 0.67 | 0.66 | 0.75 | 0.76 |
| curl_total_s | 0.58 | 0.67 | 0.66 | 0.75 | 0.76 |

**Results:** 10 items returned

### `search-multi-query`

**Config:** 5 queries, max_results=10

| Metric | Min | Mean | Median | P95 | Max |
|--------|-----|------|--------|-----|-----|
| total_ms | 1775 | 1936 | 1972 | 2053 | 2062 |
| curl_ttfb_s | 1.78 | 1.94 | 1.98 | 2.06 | 2.07 |
| curl_total_s | 1.78 | 1.94 | 1.98 | 2.06 | 2.07 |

**Results:** 50 items returned

### `search-max-queries`

**Config:** 10 queries, max_results=5

| Metric | Min | Mean | Median | P95 | Max |
|--------|-----|------|--------|-----|-----|
| total_ms | 2776 | 2945 | 3012 | 3045 | 3049 |
| curl_ttfb_s | 2.78 | 2.95 | 3.02 | 3.05 | 3.05 |
| curl_total_s | 2.78 | 2.95 | 3.02 | 3.05 | 3.05 |

**Results:** 50 items returned

### `search-large-results`

**Config:** 2 queries, max_results=50

| Metric | Min | Mean | Median | P95 | Max |
|--------|-----|------|--------|-----|-----|
| total_ms | 930 | 1087 | 1105 | 1213 | 1225 |
| curl_ttfb_s | 0.94 | 1.09 | 1.11 | 1.22 | 1.23 |
| curl_total_s | 0.94 | 1.09 | 1.11 | 1.22 | 1.23 |

**Results:** 37 items returned

### `search-freshness-day`

**Config:** 1 query, max_results=10, freshness=day

| Metric | Min | Mean | Median | P95 | Max |
|--------|-----|------|--------|-----|-----|
| total_ms | 662 | 690 | 704 | 705 | 706 |
| curl_ttfb_s | 0.67 | 0.70 | 0.71 | 0.71 | 0.71 |
| curl_total_s | 0.67 | 0.70 | 0.71 | 0.71 | 0.71 |

**Results:** 10 items returned

### `search-freshness-week`

**Config:** 1 query, max_results=10, freshness=week

| Metric | Min | Mean | Median | P95 | Max |
|--------|-----|------|--------|-----|-----|
| total_ms | 573 | 623 | 614 | 675 | 681 |
| curl_ttfb_s | 0.58 | 0.63 | 0.62 | 0.68 | 0.69 |
| curl_total_s | 0.58 | 0.63 | 0.62 | 0.68 | 0.69 |

**Results:** 10 items returned

### `search-site-filter`

**Config:** 1 query, max_results=20, site_allowlist=[wikipedia.org, python.org, realpython.com]

| Metric | Min | Mean | Median | P95 | Max |
|--------|-----|------|--------|-----|-----|
| total_ms | 586 | 701 | 612 | 876 | 905 |
| curl_ttfb_s | 0.59 | 0.71 | 0.62 | 0.88 | 0.91 |
| curl_total_s | 0.59 | 0.71 | 0.62 | 0.88 | 0.91 |

**Results:** 9 items returned

### `search-non-english`

**Config:** 1 query (French), max_results=10, language=fr, country=FR

| Metric | Min | Mean | Median | P95 | Max |
|--------|-----|------|--------|-----|-----|
| total_ms | 570 | 805 | 779 | 1036 | 1065 |
| curl_ttfb_s | 0.58 | 0.81 | 0.78 | 1.04 | 1.07 |
| curl_total_s | 0.58 | 0.81 | 0.79 | 1.04 | 1.07 |

**Results:** 10 items returned

---

## Fetch (`/v1/fetch`)

### `fetch-single`

**Config:** 1 URL

| Metric | Min | Mean | Median | P95 | Max |
|--------|-----|------|--------|-----|-----|
| total_ms | 138 | 142 | 144 | 145 | 146 |
| curl_ttfb_s | 0.14 | 0.15 | 0.15 | 0.15 | 0.15 |
| curl_total_s | 0.14 | 0.15 | 0.15 | 0.15 | 0.15 |

**Results:** 1 item returned

### `fetch-multi`

**Config:** 5 URLs, parallel_fetches=5

| Metric | Min | Mean | Median | P95 | Max |
|--------|-----|------|--------|-----|-----|
| total_ms | 481 | 512 | 496 | 552 | 558 |
| curl_ttfb_s | 0.49 | 0.52 | 0.50 | 0.56 | 0.57 |
| curl_total_s | 0.49 | 0.52 | 0.51 | 0.56 | 0.57 |

**Results:** 5 items returned

### `fetch-large`

**Config:** 10 URLs, parallel_fetches=10

| Metric | Min | Mean | Median | P95 | Max |
|--------|-----|------|--------|-----|-----|
| total_ms | 3342 | 3521 | 3552 | 3658 | 3670 |
| curl_ttfb_s | 3.36 | 3.54 | 3.57 | 3.68 | 3.69 |
| curl_total_s | 3.36 | 3.54 | 3.57 | 3.68 | 3.69 |

**Results:** 9 items (1 failed — reuters.com timeout)

### `fetch-serial`

**Config:** 5 URLs, parallel_fetches=1

| Metric | Min | Mean | Median | P95 | Max |
|--------|-----|------|--------|-----|-----|
| total_ms | 791 | 895 | 894 | 990 | 1001 |
| curl_ttfb_s | 0.80 | 0.90 | 0.90 | 1.00 | 1.01 |
| curl_total_s | 0.80 | 0.90 | 0.90 | 1.00 | 1.01 |

**Results:** 5 items returned

### `fetch-no-text`

**Config:** 3 URLs, extract_text=false, include_html=true

| Metric | Min | Mean | Median | P95 | Max |
|--------|-----|------|--------|-----|-----|
| total_ms | 492 | 501 | 502 | 508 | 509 |
| curl_ttfb_s | 0.52 | 0.53 | 0.53 | 0.53 | 0.53 |
| curl_total_s | 0.52 | 0.53 | 0.53 | 0.54 | 0.54 |

**Results:** 3 items returned

### `fetch-no-fallback`

**Config:** 3 URLs, auto_fallback=false, method=http

| Metric | Min | Mean | Median | P95 | Max |
|--------|-----|------|--------|-----|-----|
| total_ms | 497 | 501 | 501 | 505 | 505 |
| curl_ttfb_s | 0.51 | 0.51 | 0.51 | 0.51 | 0.51 |
| curl_total_s | 0.51 | 0.51 | 0.51 | 0.51 | 0.52 |

**Results:** 3 items returned

### `fetch-short-timeout`

**Config:** 3 URLs, timeout_seconds=5

| Metric | Min | Mean | Median | P95 | Max |
|--------|-----|------|--------|-----|-----|
| total_ms | 485 | 498 | 496 | 511 | 512 |
| curl_ttfb_s | 0.49 | 0.51 | 0.50 | 0.52 | 0.52 |
| curl_total_s | 0.50 | 0.51 | 0.51 | 0.52 | 0.52 |

**Results:** 3 items returned

---

## Image Search (`/v1/image-search`)

### `image-search-small`

**Config:** 1 query, max_results=5

| Metric | Min | Mean | Median | P95 | Max |
|--------|-----|------|--------|-----|-----|
| total_ms | 1365 | 1469 | 1487 | 1549 | 1555 |
| curl_ttfb_s | 1.37 | 1.47 | 1.49 | 1.55 | 1.56 |
| curl_total_s | 1.37 | 1.47 | 1.49 | 1.55 | 1.56 |

**Results:** 5 items returned

### `image-search-large`

**Config:** 2 queries, max_results=100

**Status:** 3/3 FAILED

**Error:** `internal_error: An unexpected error occurred`

> **Note:** Large image search result counts (100+) trigger internal errors. Needs investigation.

---

## Gather (`/v1/gather`)

### `gather-minimal`

**Config:** max_search_results=5, max_evidence_items=3

| Metric | Min | Mean | Median | P95 | Max |
|--------|-----|------|--------|-----|-----|
| total_ms | 2499 | 2843 | 2641 | 3315 | 3390 |
| search_ms | 855 | 1172 | 1008 | 1588 | 1653 |
| fetch_ms | 1537 | 1575 | 1553 | 1626 | 1635 |
| evidence_ms | 84 | 84 | 84 | 85 | 85 |

**Results:** 3 evidence items

### `gather-default`

**Config:** max_search_results=10, max_evidence_items=8

| Metric | Min | Mean | Median | P95 | Max |
|--------|-----|------|--------|-----|-----|
| total_ms | 4604 | 6402 | 5055 | 9099 | 9548 |
| search_ms | 901 | 1493 | 1120 | 2324 | 2458 |
| fetch_ms | 3183 | 4516 | 3762 | 6319 | 6603 |
| evidence_ms | 206 | 208 | 208 | 211 | 211 |

**Results:** 8 evidence items

### `gather-snippets`

**Config:** max_search_results=5, max_evidence_items=5, extract_snippets=true

| Metric | Min | Mean | Median | P95 | Max |
|--------|-----|------|--------|-----|-----|
| total_ms | 8000 | 8074 | 8087 | 8130 | 8134 |
| search_ms | 595 | 908 | 1024 | 1098 | 1106 |
| fetch_ms | 1742 | 1764 | 1773 | 1777 | 1777 |
| evidence_ms | 5107 | 5370 | 5355 | 5619 | 5648 |

**Results:** 5 evidence items

> **Note:** LLM snippet extraction adds ~5s to evidence processing.

### `gather-high-parallel`

**Config:** max_search_results=20, max_evidence_items=10, parallel_fetches=10

| Metric | Min | Mean | Median | P95 | Max |
|--------|-----|------|--------|-----|-----|
| total_ms | 3043 | 3704 | 3663 | 4333 | 4407 |
| search_ms | 797 | 1227 | 1389 | 1485 | 1496 |
| fetch_ms | 2223 | 2357 | 2260 | 2555 | 2588 |

**Results:** 0 evidence items (no matching content)

### `gather-serial-fetch`

**Config:** max_search_results=10, max_evidence_items=5, parallel_fetches=1

| Metric | Min | Mean | Median | P95 | Max |
|--------|-----|------|--------|-----|-----|
| total_ms | 6100 | 9994 | 10926 | 12754 | 12957 |
| search_ms | 775 | 1478 | 982 | 2509 | 2678 |
| fetch_ms | 4209 | 5771 | 5171 | 7656 | 7932 |

**Results:** 0 evidence items

> **Note:** Serial fetching is 2-3x slower than parallel.

### `gather-no-fallback`

**Config:** max_search_results=10, max_evidence_items=5, fetch_method=http, auto_fallback=false

| Metric | Min | Mean | Median | P95 | Max |
|--------|-----|------|--------|-----|-----|
| total_ms | 2475 | 3091 | 3339 | 3446 | 3458 |
| search_ms | 460 | 1055 | 895 | 1718 | 1809 |
| fetch_ms | 1061 | 1467 | 1593 | 1732 | 1747 |
| evidence_ms | 30 | 79 | 37 | 158 | 171 |

**Results:** 5 evidence items

### `gather-site-restricted`

**Config:** max_search_results=15, max_evidence_items=8, site_allowlist=[wikipedia.org, bbc.com, reuters.com]

| Metric | Min | Mean | Median | P95 | Max |
|--------|-----|------|--------|-----|-----|
| total_ms | 5941 | 6925 | 6357 | 8266 | 8478 |
| search_ms | 3411 | 4141 | 3767 | 5098 | 5246 |
| fetch_ms | 2338 | 2530 | 2372 | 2828 | 2879 |
| evidence_ms | 184 | 206 | 209 | 223 | 224 |

**Results:** 8 evidence items

> **Note:** Site filtering increases search latency (SearXNG site: prefix).

### `gather-max-evidence`

**Config:** max_search_results=30, max_evidence_items=25

| Metric | Min | Mean | Median | P95 | Max |
|--------|-----|------|--------|-----|-----|
| total_ms | 5780 | 6238 | 6123 | 6743 | 6812 |
| search_ms | 875 | 1005 | 921 | 1191 | 1221 |
| fetch_ms | 4796 | 5199 | 4885 | 5812 | 5916 |

**Results:** 0 evidence items

### `gather-large`

**Config:** max_search_results=20, max_evidence_items=15

| Metric | Min | Mean | Median | P95 | Max |
|--------|-----|------|--------|-----|-----|
| total_ms | 6053 | 8215 | 8421 | 9996 | 10171 |
| search_ms | 792 | 987 | 1047 | 1115 | 1122 |
| fetch_ms | 4603 | 6648 | 6789 | 8376 | 8552 |
| evidence_ms | 134 | 167 | 148 | 213 | 220 |

**Results:** 15 evidence items

---

## Key Findings

### Performance Rankings

**Fastest scenarios:**
1. `fetch-single` — 142ms
2. `fetch-short-timeout` — 498ms
3. `fetch-no-text` — 501ms
4. `fetch-no-fallback` — 501ms
5. `fetch-multi` — 512ms

**Slowest scenarios:**
1. `gather-serial-fetch` — 9994ms
2. `gather-large` — 8215ms
3. `gather-snippets` — 8074ms
4. `gather-site-restricted` — 6925ms
5. `gather-default` — 6402ms

### Issues Detected

- `image-search-large`: Internal error when max_results=100 — needs investigation

### Observations

| Finding | Impact |
|---------|--------|
| **Search scaling** | ~300ms per additional query (linear) |
| **Fetch parallelism** | parallel_fetches=5-10 is 2x faster than serial |
| **LLM snippets** | extract_snippets=true adds ~5s to evidence stage |
| **Site filtering** | site_allowlist adds 2-3s to search (SearXNG overhead) |
| **Image search limits** | max_results > ~50 causes internal errors |

### Recommendations

1. **Use parallel fetches** — Default of 5 is good, 10 for large workloads
2. **Avoid snippets for speed** — Only enable when LLM extraction is needed
3. **Site filters are expensive** — Use sparingly, prefer post-fetch filtering
4. **Image search cap** — Keep max_results ≤ 50 until bug is fixed